Making sense of sensor data

Consider a supply chain where delivery vehicles, shipping containers, and individual products are sensor-equipped. Real-time insights enable workers to optimize routes, reduce delays, and efficiently manage inventory. This smart orchestration boosts efficiency, minimizes waste, and lowers costs.

Many industries are rapidly integrating sensors, creating vast data streams that can be leveraged to open profound business possibilities. In energy management, growing use of sensors and drone footage promises to enable efficient energy distribution, lower costs, and reduced environmental impact. In smart cities, sensor networks can enhance urban life by monitoring traffic flow, energy consumption, safety concerns, and waste management.

These aren’t glimpses of a distant future, but realities made possible today by the increasingly digitally instrumented world. Internet of Things (IoT) sensors have been rapidly integrated across industries, and now constantly track and measure properties like temperature, pressure, humidity, motion, light levels, signal strength, speed, weather events, inventory, heart rate and traffic.  

The information these devices collect—sensor and machine data—provides insight into the real-time status and trends of these physical parameters. This data can then be used to make informed decisions and take action—capabilities that unlock transformative business opportunities, from streamlined supply chains to futuristic smart cities.

John Rydning, research vice president at IDC, projects that sensor and machine data volumes will soar over the next five years, achieving a greater than 40% compound annual growth rate through 2027. He attributes that not primarily to an increasing number of devices, as IoT devices are already quite prevalent, but rather due to more data being generated by each one as businesses learn to make use of their ability to produce real-time streaming data.

Meanwhile, sensors are growing more interconnected and sophisticated, while the data they generate increasingly includes a location in addition to a timestamp. These spatial and temporal features not only capture data changes over time, but also create intricate maps of how these shifts unfold across locations—facilitating more comprehensive insights and predictions.

But as sensor data grows more complex and voluminous, legacy data infrastructure struggles to keep pace. Continuous readings over time and space captured by sensor devices now require a new set of design patterns to unlock maximum value. While businesses have capitalized on spatial and time-series data independently for over a decade, its true potential is only realized when considered in tandem, in context, and with the capacity for real-time insights.

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This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff.

Moving data through the supply chain with unprecedented speed

Product information is a powerful commodity in today’s digital economy. Making it accessible can let consumers know if an item contains allergens, help retailers respond swiftly to product recalls, and enable suppliers to track real-time inventory levels. But data can become siloed and inaccessible if organizations fail to make it easy to connect with. This means shifting away from legacy processes and using a “phygital” approach, which brings together data from physical objects and connected digital sources.

“The phygital creates a link between the actual physical good and its digital representation, which can unlock vast volumes of information for consumers—data they haven’t been able to access in the past because it has been tied up in proprietary systems,” says Carrie Wilkie, senior vice president at GS1 US, a member of GS1, a global not-for-profit supply chain standards organization.

Driving adoption of this phygital connection are technological enablement and standards for interoperability. Standards define a common language between technologies and can make data more technology agnostic. These standards, along with evolving data carriers such as two-dimensional (2D) barcodes and Radio Frequency Identification (RFID), are boosting supply chain visibility in an era of uncertainty, and are transforming how consumers select and interact with products.

Next-generation barcodes

Among the best-known global standards for classifying products are Global Trade Item Numbers (GTINs), which are used for identifying products, and Global Location Numbers (GLNs) for location. These unique identifiers, when embedded in a data carrier such as a barcode, are examples of standards that provide a way for varying technologies and trading partners across the globe to interpret the data in the same way, enabling them to find products anywhere in their supply chain. Today, a simple scan can connect permissioned data between points in the supply chain. Unlocking the full potential of data in a more robust data carrier can elevate that simple scan to connect any product data to digital information that flows seamlessly across trading partners.

The Universal Product Code (UPC), the one-dimensional machine-readable identifier in North America, and the European Article Number (EAN) barcode for the rest of the world, are the longest-established and most widely used of all barcodes. These common barcodes—and the data behind them—can shed new light on supply chain data. However, a new generation of barcodes is emerging that promises to provide consumers with greater transparency, helping them to make smarter decisions about what they buy and use, while simultaneously improving supply chain safety and resiliency for all stakeholders.

While UPC and EAN barcodes carry GTIN data and can be found on consumer products all over the world, they fail to “create a link between the physical and the digital,” says Wilkie, “We need more information about products at our fingertips in a machine-readable, interoperable way than we’ll ever be able to fit on product packaging.”

Advanced data carriers and emerging standards are capturing unprecedented amounts of data for businesses, regulators, consumers, and patients alike, offering much more than just links to static webpages. Rather, two-dimensional (2D) barcodes and Radio Frequency Identification (RFID) technology can support phygital connections to tell a richer story about a product, including where it comes from, if it contains allergens, is organic, even how it can be recycled for sustainability purposes.

Better yet, 2D barcodes and RFID technology allow brands to communicate directly with consumers to offer more timely, accurate, and authoritative information. This is a step beyond consumers using their cell phones to look up product data while browsing in a physical store, which nearly four out of 10 consumers currently do, according to 2020 research by PwC Global.

Another advantage of today’s more advanced data carriers: One-dimensional barcodes can contain about 20 characters of information, but 2D barcodes, such as QR codes (quick-response codes), can hold more than 7,000 characters of data, and can provide access to more detailed information such as features, ingredients, expiration date, care instructions, and marketing.

Innovative use cases for QR codes are expanding rapidly, as this matrix code can be read with a line-of-sight device like a hand-held scanner or personal device like a cell phone.

“By using 2D barcodes, we’re able to start unlocking more information for consumers, patients, and regulators, and create more of a phygital experience at every point in the supply chain,” says Wilkie.

For example, a grocery store chain can use a QR code containing batch and expiration data to support traceability, waste management, and consumer safety around the world. Another application of QR codes is on-demand discounting. According to Wilkie, a bakery can rely on a QR code and electronic store shelf tags “to determine which racks of bread will expire in the next few days,” and can easily mark down products about to expire without the intervention of a store associate. The result is a win-win scenario. Consumers benefit by receiving product discounts, while the retailer saves on both product waste and manual labor costs.

RFID technology is another advanced data carrier that is already delivering significant advantages. RFID uses electronic tags that respond to radio waves to automatically transmit data. They are affixed to products or pallets, enabling strategically positioned readers to capture and share huge amounts of information in real time. Since data is transmitted via radio waves, unlike barcodes, line of sight is not needed.

As a wireless system of tags and readers, RFID can deliver enormous benefits. For starters, RFID technology drives a more precise understanding of physical inventory across the supply chain, and in physical stores, with accuracy levels near 99%. By minimizing inventory errors and notifying organizations when it’s time to restock, RFID not only drives supply chain efficiencies but enhances the experiences of customers who want assurances that the products they order are readily available.

RFID can also enhance in-store consumer experiences when used in applications like smart shelves that can detect when products are removed, dynamic-pricing displays, and frictionless check-out where an RFID reader can read and check out an entire basket of tagged goods almost instantly. With real-time visibility into stock levels, RFID can also ensure better on-shelf availability of products. In fact, a study by research and consulting company Spherical Insights says the global market for electronic shelving technology, sized at $1.02 billion in 2022, will grow to $3.43 billion by 2032.

Global standards for the benefit of all

For data carriers to deliver on their promises of greater supply chain visibility and enhanced customer experiences, global standards need widespread adoption.

Standards and technology innovations are extending the power and flexibility of unique identifiers, providing a gateway to unprecedented volumes of important information. For example, the GS1 Digital Link standard with a QR code, says Wilkie, “allows organizations to take the GTIN and GS1 identification, and encode it in a URL in a standardized way, unlocking value for the consumer by allowing them to go to a website and access more information than would ever fit on a product package.”

Products still go beep at the point of sale; it’s just that consumers are now able to access more information than ever before in ways that not only facilitate a more phygital interaction at every point in the supply chain but promise to transform the way in which product data is shared with consumers and suppliers.

“Supply chain standards are table stakes,” says Wilkie. “Using standards to ensure interoperability is critical in making sure that the supply chain is efficient.”

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff.

Investing in holistic innovation

For many organizations, innovation is focused on a few strategically prioritized initiatives and often is incremental by design. Change and the surprises it brings can be a grudgingly accepted necessity. Savvy companies, however, acknowledge that innovation must also be part of a firm’s strategy and deployed through every department. The value of most companies in the market, for example, is based on the value of their future cash flows, says Hugo Dubourg, co-head of ESG and sustainability research for JPMorgan Chase’s Europe, Middle East, and Africa equity research group.

Building products and services

However, he continues, “While markets are pricing companies and assets every fraction of a second, the future economic value is what markets are theoretically trying to assess,” Dubourg says. From this perspective, the longevity of a company depends on how it keeps up with  innovation.

Enterprises need to constantly look for ways to improve and expand what they offer to the marketplace. For example, Sameena Shah, managing director of AI research at JPMorgan Chase, says the company’s bankers have been looking for new ways to study early-stage startups looking to raise capital. The challenge was, she says, “finding good prospects in a domain that is fundamentally very opaque and has a lot of variability.”

The solution for JPMorgan Chase was a new digital platform, built off an algorithm that continually seeks out data, and learns to find prospects by triaging its data into standardized representations to describe startups and likely investors. For users, the platform also offers the context of its output, to help them understand the recommendations. “Many bankers told us that they had not known about some of the contexts or data points. That’s the power of machines,” Shah says.

Embedding ESG goals in strategy

Forward-thinking financial services can also help investors that are looking beyond just the enterprise’s bottom line. Dubourg says new investments draw on a growing pool of external data to move into new investing contexts. “We’re moving from a world of unconstrained economics to a world with physical, environmental limits,” Dubourg says. Doing so, he says, means internalizing novel external data; expanding from traditional financial analysis to a model increasingly defined by nonfinancial factors such as climate change and environmental, social, and governance (ESG) goals. Given the breadth of potentially relevant data in these cases, even specialist investors and companies are unlikely to have access to all the knowledge necessary to make fully informed decisions.

JPMorgan Chase’s own solution, ESG Discovery, draws single-source ESG data from relevant businesses and sectors, providing thematic deep-dives and company-specific views. Dubourg says the platform makes sure investors have “every relevant piece of ESG information accessible in one, single spot.”

Developing innovative employees

Innovation is meant to improve how companies work, which does not necessarily involve new technologies or devices: sometimes it is a matter of rethinking processes. For this, talent is essential. An expansive approach to talent can give companies richer choices to support their work. Gill Haus, CIO of consumer and community banking at JPMorgan Chase, says developing the technology at the center of the firm is not just about finding a group of brilliant individuals, it’s about organizing around products and customers. “What really makes a technology organization,” Haus says, “is the way you hire teams and the way you coach them.”

One way JPMorgan Chase nurtures innovation is its Tech for Social Good program, focused on engaging community members, especially students and nonprofit workers. This community-based initiative is focused on developing new thinking from inside and outside the company. It has three main goals: innovate for the social sector, build the workforce of the future, and develop skills within the company. “What’s so exciting here is we have so many complex problems to solve, so many incredible people that are looking for assistance, that you just have an environment where people can grow their careers really quickly,” says Haus.

Deploying emerging technologies

Driving innovation at JPMorgan Chase focuses on finding ways to improve how cutting-edge tools are applied, such as AI and ML. To ensure responsible AI, for example, the company’s ML designs go beyond standard software development controls, or even focusing on explainability, responsibility, and training, as most companies do, says David Castillo, managing director and product line general manager for AI-ML at JPMorgan Chase. This “fairly unique” process ensures responsible AI is in place at a higher level, so that even lines of business at different maturity levels for AI and ML operate at the same standard as any other, he says.

“We’re addressing the entire machine learning development life cycle,” Castillo says. Instead of restricting innovation, this approach “creates a very interesting, streamlined opportunity for machine learning from end-to-end. We’re being responsible across the entire spectrum,” he says. “We want to be able to make sure that that every piece of data that’s being used for model training has lineage that we can trace back to its origin,” he says. It’s important that new iterations of a model feature carry forward its lineage, he says. “We’ve scrubbed that data for personally identifying information [PII], we’ve taken out proxies to PII, we’ve identified all of these landmines.”

Focusing on intellectual property

Businesses and creators need a methodical process for protecting innovations. Controlling intellectual property (IP) rights is part of building business models for the future, so ideas can be built on by others. Daryl Wooldridge, managing director and global head of IP at JPMorgan Chase says the firm actively protects innovation. A company’s IP portfolio of patents, trademarks, copyrights, and trade secrets protects innovative products and technology, he says.

Patent protection can be costly and time consuming (it takes one to five years for a U.S. Patent Office review), but also creates a valuable asset for the company, providing a sustained competitive advantage and prestige for the inventor, Wooldridge says. It is “validating that this was so innovative, that you were the first person to secure this particular solution in this space. That’s really prestigious, and it should be recognized that way,” he says.

IP protection is vital to companies that rely on the trust of customers and partners, he says. Patents and open source, for example, are not mutually exclusive, but complimentary. “Now, the community has confidence that what I’m providing I actually own and have the ability to provide,” he says.

To Wooldridge, it’s important to ensure that IP protection is part of the innovation process and doesn’t slow down technological development. “By being part of the entire innovation process, we are able to go from idea, to initial diagrams, to the steps necessary to build the solution, while getting that solution protected,” he says.

This article is for informational purposes only and it is not intended as legal, tax, financial, investment, accounting or regulatory advice. Opinions expressed herein are the personal views of the individual(s) and do not represent the views of JPMorgan Chase & Co. The accuracy of any statements, linked resources, reported findings or quotations are not the responsibility of JPMorgan Chase & Co.

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff.

Unlocking the value of supply chain data across industries

The product shortages and supply-chain delays of the global covid-19 pandemic are still fresh memories. Consumers and industry are concerned that the next geopolitical climate event may have a similar impact. Against a backdrop of evolving regulations, these conditions mean manufacturers want to be prepared against short supplies, concerned customers, and weakened margins.

For supply chain professionals, achieving a “phygital” information flow—the blending of physical and digital data—is key to unlocking resilience and efficiency. As physical objects travel through supply chains, they generate a rich flow of data about the item and its journey—from its raw materials, its manufacturing conditions, even its expiration date—bringing new visibility and pinpointing bottlenecks.

This phygital information flow offers significant advantages, enhancing the ability to create rich customer experiences to satisfying environmental, social, and corporate governance (ESG) goals. In a 2022 EY global survey of executives, 70% of respondents agreed that a sustainable supply chain will increase their company’s revenue.

For disparate parties to exchange product information effectively, they require a common framework and universally understood language. Among supply chain players, data standards create a shared foundation. Standards help uniquely identify, accurately capture, and automatically share critical information about products, locations, and assets across trading communities.

The push for digital standards

Supply chain data’s power lies in consistency, accuracy, and seamless sharing to fuel analytics and generate insight about operations. Standards can help precisely describe the physical and digital objects that make up a supply chain, and track what happens to them from production to delivery. This increased visibility is under sharp focus: according to a 2022 survey of supply chain leaders by McKinsey and Company, more than 90% of respondents from nearly every sector invested in digital supply chain technologies during the previous year.

These standards rely on number and attribution systems—which can be encoded into data carriers and attached to products—to uniquely identify assets at every level. When data is captured, it provides digital access to information about products and their movement through the supply chain.

Numbering and attribution systems such as the Global Trade Item Number (GTIN) identify traded items and products; likewise, Serial Shipping Container Codes (SSCCs) identify logistic units. Global Location Numbers (GLNs) identify business data including an invoice address or a delivery location. Global Product Classification (GPC) codes are a global standard that use a hierarchical system to classify items by characteristics.

Data carriers include Universal Product Code (UPC) barcodes, one-dimensional (1D) barcodes familiar to consumers, commonly scanned at the point of sale in North America. Outside the U.S. and Canada, the European Article Number (EAN) barcode is used. These barcodes encode GTIN identifier data.

In recent years, more complex and robust data carriers have become common, including radio-frequency identification (RFID) tags and two-dimensional (2D) barcodes like QR codes (quick-response codes). These codes contain vastly more data than simple 1D barcodes.

These identification and data capture standards work alongside others for information sharing, including master data, business transaction data, physical event data, and communication standards for sharing information among applications and partners. Phygital information must meet a wide range of needs, including regulatory compliance, consumer and patient engagement protections, and supply chain and trading partner requirements, such as procurement, production, marketing, and ESG reporting.

Regulation is an important industry driver: chain of custody and authentication of products and trading partners are vital for safe, secure supply chains. “Governments and regulatory agencies have leveraged the pervasiveness of standards adoption to further global goals of food, product, and consumer safety,” says Siobhan O’Bara, senior vice president of community engagement for GS1 US, a member of GS1, a global not-for-profit supply chain standards organization.

New developments in standards across industries

Global standards and unique identifiers are not only driving today’s supply chain evolution, but they also allow for robust use cases across a wide variety of industries. Here are a few examples to consider.

Healthcare: Today’s healthcare organizations are under pressure to improve patient outcomes, prevent errors, and control costs. Identification systems can help by empowering patients with information that help them follow medical protocols.

“We know in healthcare that a critical part of our world is not only whether people have access to healthcare but whether they follow their clinical instructions,” says O’Bara.

O’Bara offers the example of a home nebulizer, a device used to deliver medicine to improve respiratory symptoms. By equipping a nebulizer with an RFID chip, she says, “a patient can keep track of whether they are following the prescribed treatment. For instance, if there’s a filter with that nebulizer, when it gets locked into the device, the chip sends a signal, and the nebulizer can display for the patient at the correct time that the filter has been consumed. This mechanism can also convey to healthcare practitioners whether the patient is following the protocol properly.” The result is not only a lower risk of patient miscommunication but improved patient care.

Retail: Data about an item’s origins can prevent business losses and enhance public safety. For example, a grocery store that has a product recall on spinach due to a bacterial outbreak must be able to trace the origin of batches, or must destroy its entire inventory. A unique identifier can improve the speed, accuracy, and traceability of recalls for public safety, precision, and cost effectiveness.

Consumer goods: A 2D barcode on a bottle of hand lotion can reveal a vast amount of data for consumers, including its origin, ingredients, organic certification, and packaging materials. For industry, unique identifications can tell warehouse workers where a product is located, inform distributors whether a product contains potentially dangerous ingredients, and warn retailers if a product has age restrictions. “Data delivers value in all directions of the supply chain,” says O’Bara. “Data standards are the only way to accurately and consistently—with confidence—obtain and rely on these data points to complete your business operations,” she says.

Manufacturing: Achieving ESG compliance hinges on an organization’s supply chain visibility, says O’Bara. “You always have to have data to support your ESG claims, and the only way to get that data is by tracking it through a consistent and calculated method, no matter where it’s consumed.” Standards provide access to structured sustainability information that can be measured to ensure compliance with ESG regulations, and shared with supply chain partners.

The next frontier

Standards empower organizations to identify, capture, and share information seamlessly, creating a common language that can support business processes. Savvy organizations are going a step further, providing customers with direct access to supply chain and other valuable data. According to 2023 research by Gartner, customers who are “enabled” with visibility into the supply chain are twice as likely to return; however, only 23% of supply chains currently enable customers this way.

O’Bara points to digital labeling as a perfect example of the supply chain future. Digital labels accessed through 2D barcodes by smart devices could provide consumers with information about hundreds of product attributes, such as nutrition, as well as facts that go beyond the label such as environmental, lifestyle, and sustainability factors. This future-forward approach to an increasingly phygital world could drive long-term consumer engagement, and open the door for increased business growth.

“Once you have unlocked value from unique identifiers, there are so many more ways that you can think creatively and cross-functionally about how unifying standards along a supply chain can enable commercial functions and consumer engagement with potential to drive substantial top- and bottom-line revenue,” says O’Bara.

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff.

The rise of the tech ethics congregation

Just before Christmas last year, a pastor preached a gospel of morals over money to several hundred members of his flock. Wearing a sport coat, angular glasses, and wired earbuds, he spoke animatedly into his laptop from his tiny glass office inside a co-working space, surrounded by six whiteboards filled with his feverish brainstorming.

Sharing a scriptural parable familiar to many in his online audience—a group assembled from across 48 countries, many in the Global South—he explained why his congregation was undergoing dramatic growth in an age when the life of the spirit often struggles to compete with cold, hard, capitalism.

“People have different sources of motivation [for getting involved in a community],” he sermonized. “It’s not only money. People actually have a deeper purpose in life.” 

Many of the thousands of people who’d been joining his community were taking the time and energy to do so “because they care about the human condition, and they care about the future of our democracy,” he argued. “That is not academic,” he continued. “That is not theoretical. That is talking about future generations, that’s talking about your happiness, that’s talking about how you see the world. This is big … a paradigm shift.”

The leader in question was not an ordained minister, nor even a religious man. His increasingly popular community is not—technically—a church, synagogue, or temple. And the scripture he referenced wasn’t from the Bible. It was Microsoft Encarta vs. Wikipedia—the story of how a movement of self-­motivated volunteers defeated an army of corporate-funded professionals in a crusade to provide information, back in the bygone days of 2009. “If you’re young,” said the preacher, named David Ryan Polgar, “you’ll need to google it.”

Polgar, 44, is the founder of All Tech Is Human, a nonprofit organization devoted to promoting ethics and responsibility in tech. Founded in 2018, ATIH is based in Manhattan but hosts a growing range of in-person programming—social mixers, mentoring opportunities, career fairs, and job-seeking resources—in several other cities across the US and beyond, reaching thousands. Such numbers would delight most churches. 

David Polgar,
the founder of All
Tech Is Human, on stage at a recent Responsible Tech Mixer event in
New York City.
COURTESY OF ALL TECH IS HUMAN

Like other kinds of congregations, ATIH focuses on relationship-­building: the staff invests much of its time, for example, in activities like curating its “Responsible Tech Organization” list, which names over 500 companies in which community members can get involved, and growing its responsible-tech talent pool, a list of nearly 1,400 individuals interested in careers in the field. Such programs, ATIH says, bring together many excellent but often disconnected initiatives, all in line with the ATIH mission “to tackle wicked tech & society issues and co-create a tech future aligned with the public interest.”

The organization itself doesn’t often get explicitly political with op-eds or policy advocacy. Rather, All Tech Is Human’s underlying strategy is to quickly expand the “responsible-tech ecosystem.” In other words, its leaders believe there are large numbers of individuals in and around the technology world, often from marginalized backgrounds, who wish tech focused less on profits and more on being a force for ethics and justice. These people will be a powerful force, Polgar believes, if—as the counterculture icon Timothy Leary famously exhorted—they can “find the others.” If that sounds like reluctance to take sides on hot-button issues in tech policy, or to push for change directly, Polgar calls it an “agnostic” business model. And such a model has real strengths, including the ability to bring tech culture’s opposing tribes together under one big tent. 

But as we’ll see, attempts to stay above the fray can cause more problems than they solve.

Meanwhile, All Tech Is Human is growing so fast, with over 5,000 members on its Slack channel as of this writing, that if it were a church, it would soon deserve the prefix “mega.” The group has also consistently impressed me with its inclusiveness: the volunteer and professional leadership of women and people of color is a point of major emphasis, and speaker lineups are among the most heterogeneous I’ve seen in any tech-related endeavor. Crowds, too, are full of young professionals from diverse backgrounds who participate in programs out of passion and curiosity, not hope of financial gain. Well, at least attendees don’t go to ATIH for direct financial gain; as is true with many successful religious congregations, the organization serves as an intentional incubator for professional networking. 

Still, having interviewed several dozen attendees, I’m convinced that many are hungry for communal support as they navigate a world in which tech has become a transcendent force, for better or worse.

Growth has brought things to a turning point. ATIH now stands to receive millions of dollars—including funds from large foundations and tech philanthropist demigods who once ignored it. And Polgar now finds himself in a networking stratosphere with people like Canadian prime minister Justin Trudeau, among other prominent politicos. Will the once-humble community remain dedicated to centering people on the margins of tech culture? Or will monied interests make it harder to fight for the people Christian theologians might call “the least of these”?

Techno-solutionism and related ideas can function as a kind of theology, justifying harm in the here and now with the promise of a sweet technological hereafter.

I first started looking into ATIH in late 2021, while researching my forthcoming book Tech Agnostic: How Technology Became the World’s Most Powerful Religion, and Why It Desperately Needs a Reformation (MIT Press, 2024). The book project began because I’d been coming across a striking number of similarities between modern technological culture and religion, and the parallels felt important, given my background. I am a longtime (nonreligious) chaplain at both Harvard and MIT. After two decades immersed in the world of faith, back in 2018 I gave up on what had been my dream: to build a nonprofit “godless congregation” for the growing population of atheists, agnostics, and the religiously unaffiliated. Having started that work just before social media mavens like Mark Zuckerberg began to speak of “connecting the world,” I ultimately lost faith in the notion of building community around either religion or secularism when I realized that technology had overtaken both.

Indeed, tech seems to be the dominant force in our economy, politics, and culture, not to mention a daily obsession that can increasingly look like an addiction from which some might plausibly seek the help of a higher power to recover. Tech culture has long been known for its prophets (Jobs, Gates, Musk, et al.), and tech as a whole is even increasingly oriented around moral and ethical messages, such as Google’s infamous “Don’t be evil.” 

The tech-as-religion comparison I’ve found myself drawing is often unflattering to tech leaders and institutions. Techno-solutionism and related ideas can function as a kind of theology, justifying harm in the here and now with the promise of a sweet technological hereafter; powerful CEOs and investors can form the center of a kind of priestly hierarchy, if not an outright caste system; high-tech weapons and surveillance systems seem to threaten an apocalypse of biblical proportions. 

When I discovered ATIH, I was pleasantly surprised to find a potentially positiveexample of the sort of dynamic I was describing. I am the sort of atheist who admits that certain features of religion can offer people real benefits. And ATIH seemed to be succeeding precisely because it genuinely operated like a secular, tech-­ethics-focused version of a religious congregation. “It does work that way,” Polgar acknowledged in February 2022, in the first of our several conversations on the topic. Since then, I’ve continued to admire ATIH’s communal and ethical spirit, while wondering whether communities devoted explicitly to tech ethics might just help bring about a reformation that saves tech from itself.

Along with admiration, I’ve also sought to determine whether ATIH is worthy of our faith.

Why a congregation?

I discovered ATIH’s events in late 2021, first through the online Responsible Tech University Summit, a day-long program dedicated to exploring the intersections of tech ethics and campus life. (One of ATIH’s signature programs is its Responsible Tech University Network, which involves, among other things, a growing group of over 80 student “university ambassadors” who represent the organization on their campuses.) All the organization’s programs are organized around typical tech ethics themes, like “the business case for AI ethics,” but participants attend as much for the community as for the topic at hand. 

Sarah Husain, who’d worked on Twitter’s Trust and Safety team until it was eliminated by Elon Musk, told me at a May 2022 event that several colleagues in her field had spoken highly of ATIH, recommending she attend. Chana Deitsch, an undergraduate business student who participates in ATIH’s mentorship program, says it not only helps with job leads and reference letters but provides a sense of confidence and belonging. Alex Sarkissian, formerly a Deloitte consultant and now a Buddhist chaplaincy student, feels that the organization has potential “to be a kind of spiritual community for me in addition to my sangha [Buddhist congregation].”

I’ve encountered mainly earnest and insightful members like these, people who come together for serious mutual support and ethical reflection and—non-trivially—funaround a cause I’ve come to hold dear. Granted, few ATIH participants, in my observation, hold C-level tech positions, which could undermine the organization’s claims that it has the ability to unite stakeholders toward effectual action … or perhaps it simply signifies a populism that could eventually put sympathizers in high places?

Despite my skepticism toward both theology and technology, ATIH has often given me the feeling that I’ve found my own tech tribe.

Growing pains

Polgar is a nerdily charismatic former lawyer who has been developing the ideas and networks from which the organization sprouted for over a decade. As a young professor of business law at a couple of small, under-resourced colleges in Connecticut in the early 2010s, he began pondering the ethics of technologies that had recently emerged as dominant and ubiquitous forces across society and culture. Adopting the title “tech ethicist,” he began to write a series of missives on digital health and the idea of “co-creating a better tech future.” His 2017 Medium post “All Tech Is Human,” about how technology design should be informed by more than robotic rationality or utility, generated enthusiastic response and led to the formal founding of the organization a year later.

The ATIH concept took a while to catch on, Polgar told me. He worked unpaid for three years and came “close to quitting.” But his background inspired perseverance. Born in 1979 in Cooperstown, New York, Polgar was a philosophical kid who admired Nikola Tesla and wanted to be an inventor. “Why can’t I start something big,” he remembers thinking back then, “even from a little place like this?”

Despite their growing influence, Polgar and the organization continue to emphasize their outsider status. ATIH, he argues, is building its following in significant part with people who, for their interest in ethical approaches to technology, feel as unjustly ignored as he and many of his upstate peers felt in the shadow of New York City.

ATIH’s model, says the organization’s head of partnerships, Sandra Khalil, is to offer not a “sage on the stage” but, rather, a “guide on the side.” Khalil, a veteran of the US Departments of State and Homeland Security, also came to the organization with an outsider’s pugnacity, feeling “severely underutilized” in previous roles as a non-lawyer intent on “challenging the status quo.”

Polgar, however, hardly shrinks from opportunities to influence tech discourse, whether through media interviews with outlets like the BBC World News or by joining advisory boards like TikTok’s content advisory council. ATIH admits, in its “Ten Principles,” that it draws both from grassroots models, which it says “have ideas but often lack power,” and from “top-down” ones, which can “lack a diversity of ideas” but “have power.” The organization does not ask for or accept membership fees from participants, relying instead on major donations solicited by Polgar and his team, who control decision-making. There hasn’t seemed to be a significant call for more democracy—yet.

The founder as a god?

Part of why I’m insisting ATIH is a congregation is that the group assembled around Polgar demonstrates a religious zeal for organizing and relationship-building as tools for advancing positive moral values. Case in point: Rebekah Tweed, ATIH’s associate director, once worked in an actual church, as a youth pastor; now she applies a skill set my field calls “pastoral care” to creating mutually supportive space for ethically minded techies.

In 2020, Tweed volunteered on ATIH’s first major public project, the Responsible Tech Guide, a crowdsourced document that highlighted the hundreds of people and institutions working in the field. After she formally joined the organization, it landed its first big-time donation: $300,000 over two years from the Ford Foundation, to pay her salary as well as Polgar’s. They were its first full-time employees. 

Polgar was repeatedly rebuffed in early attempts to recruit large gifts, but of late, the growing ATIH team has received significant support from sources including Melinda French Gates’s Pivotal Ventures and about half a million dollars each from Schmidt Futures (the philanthropic fund of former Google CEO Eric Schmidt) and the Patrick J. McGovern Foundation (yet another tech billionaire’s fortune).

Can an organization that serves a truly inclusive audience afford to get in bed with Fortune 500 companies and/or multibillionaires who will inevitably be motivated by a desire to seem ethical?

The question is: Can an organization that serves a truly inclusive audience, emphasizing humanity and ethics in its own name, afford to get in bed with Fortune 500 companies like Google and Microsoft and/or multibillionaires who will inevitably be motivated by a desire to seem ethical and responsible, even when they decidedly are not? Or rather, can it afford not to do so, when growth means the organization’s staff can grow (and earn a living wage)? And could such tensions someday cause a full-blown schism in the ATIH community? 

The potential challenges first came to light for me at a May 2022 summit in New York. For the first time in several large ATIH events I had personally observed, the meeting featured an invited speaker employed by one of the world’s largest tech companies: Harsha Bhatlapenumarthy, a governance manager at Meta and also a volunteer leader in a professional association called Trust and Safety. 

Sandra Khalil with three other participants seated beside her
Not a “sage on the stage” but a “guide on the side”: ATIH head of partnerships Sandra Khalil moderates an event in London.
LIZ ISLES/ALL TECH IS HUMAN

Bhatlapenumarthy—whose panel was called “Tech Policy & Social Media: Where are we headed?”—avoided addressing any of her employer’s recent controversies. Instead of offering any meaningful comment in response to Meta’s troubles over its handling of things from pro-anorexia content to election misinformation, she spoke only vaguely about its ethical responsibilities. The company, she said, was focused on “setting the content moderator up for success.” Which is an interesting way to describe a situation in which Meta had, for example, recently been sued for union busting and human trafficking by content moderators in Kenya.

Several attendees were taken aback that Bhatlapenumarthy’s advocacy for her powerful employer went essentially unchallenged during the panel. Among them was Yael Eisenstat, Facebook’s former global head of election integrity operations for political advertising and the summit’s closing speaker. In a fireside chat immediately following the panel in which Bhatlapenumarthy participated, Eisenstat, who’d been a whistleblower against her former employer, eloquently dismissed Bhatlapenumarthy’s non-remarks. “I believe [Meta] doesn’t want this on their platform,” she said, referring to violent and deceptive content, “but they will not touch their business model.” Eisenstat added that she would feel “more encouraged” if companies would stop “holding up the founder as a god.” 

Eisenstat added to me later, by private message, that “sending a more junior-level employee to speak one-directionally about Meta’s vision of responsible tech is somewhat disingenuous.” In inviting such a speaker, couldn’t ATIH reasonably be understood to be implicated in the offense?

If Bhatlapenumarthy’s presence as a seeming mouthpiece for Big Tech talking points had been an isolated incident, I might have ignored it. But a few months later, I found myself wondering if a concerning pattern was emerging.

Digital Sunday school

In September 2022, I attended Building a Better Tech Future for Children, an ATIH event cohosted with the Joan Ganz Cooney Center at Sesame Workshop, a nonprofit research and innovation lab associated with the legendary children’s TV show Sesame Street. This struck me as a shrewd partnership for ATIH: every congregation needs a Sunday school. A community organization aspiring to the advancement of humanity and the betterment of the world will inevitably turn its thoughts to educating the next generation according to its values. 

After a keynote from Elizabeth Milovidov, senior manager for digital child safety at the Lego Group, on designing digital experiences with children’s well-being in mind came a panel featuring speakers from influential players such as the Omidyar Network and TikTok, as well as young activists. The group discussed the risks and harms facing young people online, and the general tone was optimistic that various efforts to protect them would be successful, particularly if built upon one another. “Digital spaces can be a positive source in the lives of young people,” said the moderator, Mina Aslan.

Also on the panel was Harvard Medical School professor Michael Rich, a self-proclaimed “mediatrician”—a portmanteau of “media’’ and “pediatrician.” Rich made good points—for example, stressing the importance of asking kids what they’re hoping for from tech, not just talking about the risks they confront. But one comment triggered my spider-sense: when he said that today’s tech is like his generation’s cigarettes, in that you can’t just tell kids “Don’t do it.” 

The analogy between tobacco and social media is at best a bizarre one to draw. Millions of young people became smokers not just through peer pressure, but because for decades, Big Tobacco’s whole business model was built on undue corporate influence and even outright lying, including paying influential doctors and scientists to downplay the death they dealt. Surely ATIH’s leadership would want to avoid any hint that such practices would be acceptable in tech?

Tobacco eventually became among the most heavily regulated industries in history, with results including, famously, the US surgeon general’s warnings on tobacco ads and packages. Now the current surgeon general, Vivek Murthy, has warned there is “growing evidence” that social media is “associated with harm to young people’s mental health.” But on the panel (and in his commentary elsewhere), Rich only briefly acknowledged such potential harms, forgoing talk of regulating social media for the idea of cultivating “resilience” in the industry’s millions of young customers.

To be clear, I agree with Rich that it is a losing strategy to expect young people to completely abstain from social media. But I fear that tech and our broader society alike are not taking nearly enough ethical responsibility for protecting children from what can be powerful engines of harm. And I was disappointed to see Rich’s relatively sanguine views not only expressed but centered at an ATIH meeting.

How much responsibility?

How much responsibility should a “responsible tech” organization like ATIH take—or not—for inviting speakers with corporate ties, especially when it is not fully open with its audience about such ties? How obligated is ATIH to publicly interrogate the conclusions of such speakers? 

Rich’s response to questions I’d asked after his panel was, essentially, that parents ought to channel their energies into making “better choices” around tech, which—conveniently for some of the doctor’s corporate sponsors—lays the responsibility for children’s safety on the parents instead of the tech industry. His lab, I later learned, raised nearly $6 million in 2022, at least partly through grants from Meta, TikTok, and Amazon. When TikTok CEO Shou Chew testified before the US Congress in March 2023, he cited Rich’s lab—and only Rich’s lab—as an example of how TikTok used science and medicine to protect minors. Does this represent a conflict of interest—and therefore a serious ethical failing on the part of both Rich and ATIH for platforming him? I don’t know. I do worry, though, that there’s something inhumane in Rich’s emphasis on building kids’ “resilience” rather than interrogating why they should have to be so resilient against tech in the first place.

What kind of institution does ATIH want to be? One that pushes back against the powerful, or one that upholds a corporate-friendly version of diversity, allowing its wealthy sponsors to remain comfortable at (almost) all times? As the Gospel of Matthew says, no man (or organization of “humans”) can serve two masters.

Asking around ATIH’s network about my concerns, I found ambivalence. “I do believe it is possible to do research sponsored by companies ethically,” said Justin Hendrix, an occasional ATIH participant and editor of Tech Policy Press, a wonky journal in which academics and others tend to critique established tech narratives. “But it is right to scrutinize it for signs of impropriety.”

“I see your concern,” Polgar later told me when I asked him about my apprehensions. Raising his brow with a look of surprise when I wondered aloud whether Rich’s funding sources might have affected the commentary he offered for ATIH’s audience, Polgar made clear he did not agree with all the doctor’s views. He also admitted it is his “worst fear” that his organization might be co-opted by funding opportunities that make it harder “to be a speaker of truth.”

“Don’t become a parody of yourself,” he said, seeming to turn the focus of his homily inward.

Team human

Several months after the Sesame Workshop event, I attended a crowded mixer at ATIH’s now-regular monthly venue, the Midtown Manhattan offices of the VC firm Betaworks, with a very different kind of speaker: the tech critic Douglas Rushkoff, a freethinker who has often spoken of the need for a kind of secular faith in our common humanity in the face of tech capitalism’s quasi-religious extremism. Polgar is a longtime admirer of his work.

“All tech bros are human,” Rushkoff cracked, launching into an enthusiastically received talk. Fresh off a publicity tour for a book about tech billionaires buying luxury bunkers to escape a potential doomsday of their own making, Rushkoff provided a starkly antiauthoritarian contrast to the speakers I’d taken issue with at the earlier events.

Ultimately, I don’t know whether ATIH will succeed in its attempts to serve what Rushkoff would call “team human” rather than becoming an accessory to the overwhelming wealth tech can generate by seeming to make humanity commodifiable and, ultimately, redundant. I do, however, continue to believe that building a more humane tech future will require communal support, because none of us can do it alone. 

I chose the theme of tech agnosticism for my book in part because I am often reminded that I truly don’t know—and neither do you—when or where tech’s enormous powers might actually do the good they purport to do. But I suspect we’re going to need a lot more of what Neil Postman’s 1992 book Technopoly, an early exploration of the theme of tech-as-­religion and a precursor to the techlash, called “loving resistance fighters.” While I lack prophetic abilities to know whether Polgar and co. will help spark such a resistance, the potential is genuinely there. In a participatory congregation, one can always worry about co-­option, as even Polgar himself admits he does; but isn’t it also the responsibility of each of us to actively help keep our communities accountable to their own ethical values?

Let’s maintain our skepticism, while hoping the ethical tech congregation gives us continued reason to keep the faith. 

Greg M. Epstein serves as the humanist chaplain at Harvard University and MIT and as the convener for ethical life at MIT’s Office of Religious, Spiritual, and Ethical Life.

Next slide, please: A brief history of the corporate presentation

It’s 1948, and it isn’t a great year for alcohol. Prohibition has come and gone, and booze is a buyer’s market again. That much is obvious from Seagram’s annual sales meeting, an 11-city traveling extravaganza designed to drum up nationwide sales. No expense has been spared: there’s the two-hour, professionally acted stage play about the life of a whiskey salesman. The beautiful anteroom displays. The free drinks. But the real highlight is a slideshow. 

To call the Seagram-Vitarama a slideshow is an understatement. It’s an experience: hundreds of images of the distilling process, set to music, projected across five 40-by-15-foot screens. “It is composed of pictures, yet it is not static,” comments one awed witness. “The overall effect is one of magnificence.” Inspired by an Eastman Kodak exhibit at the 1939 World’s Fair, the Seagram-Vitarama is the first A/V presentation ever given at a sales meeting. It will not be the last. 

In the late ’40s, multimedia was a novelty. But by the early 1960s, nearly all companies with national advertising budgets were using multimedia gear—16-­millimeter projectors, slide projectors, filmstrip projectors, and overheads—in their sales training and promotions, for public relations, and as part of their internal communications. Many employed in-house A/V directors, who were as much showmen as technicians. Because although presentations have a reputation for being tedious, when they’re done right, they’re theater. The business world knows it. Ever since the days of the Vitarama, companies have leveraged the dramatic power of images to sell their ideas to the world. 

Next slide, please

The sound of slides clacking is deafening. But it doesn’t matter, because the champagne is flowing and the sound system is loud. The 2,500 dignitaries and VIPs in the audience are being treated to an hourlong operetta about luxury travel. Onstage, a massive chorus, the entire Stockholm Philharmonic, and some 50 dancers and performers are fluttering around a pair of Saab 9000CD sedans. Stunning images of chrome details, leather seats, and open roads dance across a 26-foot-tall screen behind them. The images here are all analog: nearly 7,000 film slides, carefully arranged in a grid of 80 Kodak projectors. It’s 1987, and slideshows will never get any bigger than this. 

Before PowerPoint, and long before digital projectors, 35-millimeter film slides were king. Bigger, clearer, and less expensive to produce than 16-millimeter film, and more colorful and higher-resolution than video, slides were the only medium for the kinds of high-impact presentations given by CEOs and top brass at annual meetings for stockholders, employees, and salespeople. Known in the business as “multi-image” shows, these presentations required a small army of producers, photographers, and live production staff to pull off. First the entire show had to be written, storyboarded, and scored. Images were selected from a library, photo shoots arranged, animations and special effects produced. A white-gloved technician developed, mounted, and dusted each slide before dropping it into the carousel. Thousands of cues were programmed into the show control computers—then tested, and tested again. Because computers crash. Projector bulbs burn out. Slide carousels get jammed. 

“When you think of all the machines, all the connections, all the different bits and pieces, it’s a miracle these things even played at all,” says Douglas Mesney, a commercial photographer turned slide producer whose company Incredible Slidemakers produced the 80-­projector Saab launch. Now 77 years old, he’s made a retirement project of archiving the now-forgotten slide business. Mesney pivoted to producing multi-image shows in the early 1970s after an encounter with an impressive six-screen setup at the 1972 New York Boat Show. He’d been shooting spreads for Penthouse and car magazines, occasionally lugging a Kodak projector or two to pitch meetings for advertising clients. “All of a sudden you look at six projectors and what they can do, and you go, Holy mackerel,” he remembers. 

“All of a sudden you look at six projectors and what they can do, and you go, Holy mackerel.

Douglas Mesney, a commercial photographer

Six was just the beginning. At the height of Mesney’s career, his shows called for up to 100 projectors braced together in vertiginous rigs. With multiple projectors pointing toward the same screen, he could create seamless panoramas and complex animations, all synchronized to tape. Although the risk of disaster was always high, when he pulled it off, his shows dazzled audiences and made corporate suits look like giants. Mesney’s clients included IKEA, Saab, Kodak, and Shell; he commanded production budgets in the hundreds of thousands of dollars. And in the multi-image business, that was cheap. Larger A/V staging companies, like Carabiner International, charged up to $1 million to orchestrate corporate meetings, jazzing up their generic multi-­image “modules” with laser light shows, dance numbers, and top-shelf talent like Hall & Oates, the Allman Brothers, and even the Muppets. “I liken it to being a rock-and-roll roadie, but I never went on the tour bus,” explains Susan Buckland, a slide programmer who spent most of her career behind the screen at Carabiner. 

Douglas Mesney backstage
Douglas Mesney, a former commercial photographer, produced shows with production budgets in the hundreds of thousands of dollars for clients including IKEA, Saab, Kodak, and Shell.
DOUGLAS MESNEY/INCREDIBLE SLIDEMAKERS
a 1988 Saab car on stage
the Saab logo presented on an Image Wall while Saab cars drive on the stage

From its incorporation in 1976 to the mid-1980s, the Association for Multi-Image, a trade association for slide producers, grew from zero to 5,000 members. At its peak, the multi-image business employed some 20,000 people and supported several festivals and four different trade magazines. One of these ran a glowing profile of Douglas Mesney in 1980; when asked for his prognosis about the future of slides, he replied: “We could make a fortune or be out of business in a year.” He wasn’t wrong. 

At the time, some 30 manufacturers of electronic slide programming devices vied for the multi-image dollar. To meet the demand for high-impact shows, the tech had quickly evolved from manual dissolve units and basic control systems—programmed with punched paper tape, and then audiocassette—to dedicated slide control computers like the AVL Eagle I, which could drive 30 projectors at once. The Eagle, which came with word processing and accounting software, was a true business computer—so much so that when Eagle spun off from its parent company, Audio Visual Labs, in the early ’80s, it became one of Silicon Valley’s most promising computer startups. Eagle went public in the summer of 1983, making its president, Dennis R. Barnhart, an instant multimillionaire. Only hours after the IPO, Barnhart plowed his brand-new cherry-red Ferrari through a guardrail near the company’s headquarters in Los Gatos, California, flipped through the air, crashed into a ravine, and died. The slide business would soon follow.

Douglas Mesney likes to say that if you never saw a slide show, you never will. The machines to show them have been landfilled. The slides themselves were rarely archived. Occasionally a few boxes containing an old multi-image “module” will turn up in a storage unit, and occasionally those will even be undamaged. But with the exception of a few hobbyists and retired programmers, the know-how to restore and stage multi-image slideshows is scarce. This leaves former slide professionals at a loss. “All of us are devastated that none of the modules survived,” says Susan Buckland. “Basically, I don’t have a past, because I can’t explain it.” The entire industry, which existed at an unexpected intersection of analog and high-tech artistry, came and went in a little over 20 years.

Presentations, like porn, have always pushed technology forward; in the multi-­image days, producers like Mesney took the slide as far as it could go, using every tool available to create bigger and bolder shows. Mesney claims to have set the land speed record for a slide presentation with a three-minute-long, 2,400-slide show, but even at top speed, slides are static. The computers that controlled them, however, were not—and it wasn’t long before they evolved beyond the medium. “Back then, computers were fast enough to tell slides what to do, but they weren’t fast enough to actually create the images themselves,” explains Steven Michelsen, a former slide programmer who restores and runs old multi-image shows in his Delaware garage. “It took another 10 or 15 years until you could run a show straight from your computer and have the images look worth looking at,” he adds. 

The last slide projector ever made rolled off the assembly line in 2004. The inside of its casing was signed by factory workers and Kodak brass before the unit was handed over to the Smithsonian. Toasts and speeches were made, but by then they were eulogies, because PowerPoint had already eaten the world.

Inventing PowerPoint

The Hotel Regina is an Art Nouveau marvel overlooking the Tuileries Garden and the Louvre. But on this day in 1992, its Old World meeting rooms have been retrofitted with advanced video technology. The color projector in the back of the room, the size of a small refrigerator, cost upwards of $100,000 and takes an hour to warm up. A team of technicians has spent the better part of the last 48 hours troubleshooting to ensure that nothing goes wrong when Robert Gaskins, the fastidious architect of a new piece of software called PowerPoint 3.0, walks into the room. He’ll be carrying a laptop under his arm, and when he reaches the lectern, he’ll pick up a video cable, plug it in, and demonstrate for the first time something that has been reproduced billions of times since: a video presentation, running straight off a laptop, in full color. The audience, full of Microsoft associates from across Europe, will go bananas. They “grasped immediately what the future would bring for their own presentations,” Gaskins later wrote. “There was deafening applause.” 

DOUGLAS MESNEY/INCREDIBLE SLIDEMAKERS

It’s hard now to imagine deafening applause for a PowerPoint—almost as hard as it is to imagine anyone but Bob Gaskins standing at this particular lectern, ushering in the PowerPoint age. Presentations are in his blood. His father ran an A/V company, and family vacations usually included a trip to the Eastman Kodak factory. During his graduate studies at Berkeley, he tinkered with machine translation and coded computer-generated haiku. He ran away to Silicon Valley to find his fortune before he could finalize his triple PhDs in English, linguistics, and computer science, but he brought with him a deep appreciation for the humanities, staffing his team with like-minded polyglots, including a disproportionately large number of women in technical roles. Because Gaskins ensured that his offices—the only Microsoft division, at the time, in Silicon Valley—housed a museum-worthy art collection, PowerPoint’s architects spent their days among works by Frank Stella, Richard Diebenkorn, and Robert Motherwell. 

a grid of slides from using computer graphics
It wasn’t long before the computers that ran the slide shows evolved beyond the medium.
TOP ROW: RICHARD SHIPPS/DD&B STUDIO; DOUGLAS MESNEY/INCREDIBLE SLIDEMAKERS; WILDEN ENTERPRISES MIDDLE ROW: DOUGLAS MESNEY/INCREDIBLE SLIDEMAKERS; WILDEN ENTERPRISES; RICHARD SHIPPS/DD&B STUDIOS; BOTTOM ROW: WILDEN ENTERPRISES; RICHARD SHIPPS/DD&B STUDIOS; DOUGLAS MESNEY/INCREDIBLE SLIDEMAKERS; IMAGES COURTESY STEVEN MICHELSEN

Gaskins’s 1984 proposal for PowerPoint, written when he was VP of product development at the Sunnyvale startup Forethought, is a manifesto in bullet points. It outlines the slumbering, largely-hidden-from-view $3.5 billion business presentation industry and its enormous need for clear, effective slides. It lists technology trends—laser printers, color graphics, “WYSIWYG” software—that point to an emerging desktop presentation market. It’s a stunningly prescient document throughout. But Gaskins italicized only one bullet point in the whole thing.

User benefits:

Allows the content-originator to control the presentation.

This is Gaskins’s key insight: a presentation’s message is inevitably diluted when its production is outsourced. In the early ’80s, he meant that literally. The first two versions of PowerPoint were created to help executives produce their own overhead transparencies and 35-millimeter slides, rather than passing the job off to their secretaries or a slide bureau. 

PowerPoint had become shorthand for the stupefying indignities of office life—a 2001 New Yorker profile summed it up as “software you impose on other people.”

“In the ’50s, ’60s, and early ’70s, information flow was narrow,” explains Sandy Beetner, former CEO of Genigraphics, a business graphics company that was, for several decades, the industry leader in professional presentation graphics. Their clients were primarily Fortune 500 companies and government agencies with the resources to produce full-color charts, 3D renderings, and other high-tech imagery on those slides. Everyone else was limited to acetate overheads and—gasp—words. “Prior to PowerPoint,” she says, “people communicated in black and white. There was just so much missed in that environment.”

Beetner oversaw Genigraphics’ national network service bureaus, which were located in every major American city and staffed 24 hours a day, 365 days a year, by graphic artists prepared to produce, polish, and print slides. The company was so vital to presentational culture that Gaskins negotiated a deal to make Genigraphics the official 35-millimeter slide production service for PowerPoint 2.0; a “Send to Genigraphics” menu command was baked into PowerPoint until 2003. This, incidentally, was around the same time that Kodak stopped making Carousel projectors. 

slides set next to each other showing in total the scene of an airplane on the tarmac
a panoramic image of an airplane on the tarmac
With multiple projectors pointing toward the same screen, producers could create seamless panoramas and complex animations, all synchronized to tape.
WILDEN ENTERPRISES

Gaskins retired from Microsoft in 1993 and moved to London. He returned to the States 10 years later, an expert in antique concertinas. By then, PowerPoint had become shorthand for the stupefying indignities of office life. A 2001 New Yorker profile summed it up as “software you impose on other people”; the statistician Edward Tufte, known for his elegant monographs about data visualization, famously blamed the 2003 Columbia shuttle disaster on a bum PowerPoint slide. Gaskins’s software, Tufte argued, produces relentlessly sequential, hierarchical, sloganeering, over-managed presentations, rife with “chartjunk” and devoid of real meaning. No wonder software corporations loved it.

Robert Gaskins is remarkably sympathetic to these views, not least because Tufte’s mother, the Renaissance scholar Virginia Tufte, mentored him as an undergraduate in the English department at the University of Southern California. In a reflection written on the 20th anniversary of PowerPoint’s introduction, Gaskins acknowledged that “more business and academic talks look like poor attempts at sales presentations,” a phenomenon he blamed as much on a “mass failure of taste” as on PowerPoint itself, a tool so powerful it collapsed all preexisting contexts. Not everything’s a sales presentation; nor should it be. But PowerPoint made it easy to add multimedia effects to informal talks, empowering lay users to make stylistic decisions once reserved for professionals. To paraphrase an early PowerPoint print ad: now the person making the presentation made the presentation. That those people weren’t always particularly good at it didn’t seem to matter.

What did matter was that presentations were no longer reserved for year-end meetings and big ideas worthy of the effort and expense required to prepare color slides. “The scalability of information and audience that PowerPoint brought to the party was pretty incredible,” says Beetner, whose company has survived as a ghost in the machine, in the form of PowerPoint templates and clip art. “It opened up the channels dramatically, and pretty quickly. There isn’t a student alive, at any level, that hasn’t seen a PowerPoint presentation.” Indeed, PowerPoint is used in religious sermons; by schoolchildren preparing book reports; at funerals and weddings. In 2010, Microsoft announced that PowerPoint was installed on more than a billion computers worldwide. 

At this scale, PowerPoint’s impact on how the world communicates has been immeasurable. But here’s something that can be measured: Microsoft grew tenfold in the years that Robert Gaskins ran its Graphics Business Unit, and it has grown 15-fold since. Technology corporations, like PowerPoint itself, have exploded. And so have their big presentations, which are no longer held behind closed doors. They’re now semi-public affairs, watched—willingly and enthusiastically—by consumers around the world. Nobody has to worry about slide carousels getting jammed anymore, but things still go haywire all the time, from buggy tech demos to poorly-thought-out theatrics. 

When everything works, a good presentation can drive markets and forge reputations. Of course, this particular evolution wasn’t exclusively Microsoft’s doing. Because perhaps the most memorable corporate presentation of all time—Steve Jobs’s announcement of the iPhone at Macworld 2007— wasn’t a PowerPoint at all. It was a Keynote

Claire L. Evans is a writer and musician exploring ecology, technology, and culture.

Human-plus-AI solutions mitigate security threats

Fifty years ago, the average business transaction was pretty straightforward. Shoppers handed purchases directly to cashiers, business partners shook hands in person, and people brought malfunctioning machines to a repair shop across the street. The proximity of all participating parties meant that both customers and businesses could verify authority and authenticity with their own eyes.

But the internet has changed the very nature of how we transact, and more recently the rise of remote work has added yet more complexity to the mix. Today, a customer in Texas can call a business in Prague for product support and reach a technician ten thousand miles away in a coworking space in India—all while using a communication platform on the cloud. In other words, there are many more technology layers and much greater distances involved in even basic business interactions today. As such, authentication and verification have become much more challenging.

This greatly expanded attack surface can spell bad news for companies that aren’t properly equipped to defend themselves against cybersecurity threats. Globally, the average data breach costs $4.35 million. In the U.S., the figure is more than double that—around $9.44 million. And such breaches are all-too-common occurrences, with more than 1,800 data compromises reported in the U.S. in 2022.

But in the same way that business has evolved for the modern era, protective cybersecurity measures are also becoming more advanced. Today, digital solutions that integrate emerging technologies like AI into human-centric workflows are helping mitigate myriad threats. What’s more, intelligent digital solutions can protect sensitive business data while simultaneously simplifying and streamlining business operations.

Download the full report.

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff.

Merging physical and digital tools to build resilient supply chains

Organizations are building resilient supply chains with a “phygital” approach, a blend of digital and physical tools. In recent years, the global supply chain has been disrupted due to the covid-19 pandemic, geopolitical volatility, overwhelmed legacy systems, and labor shortages. The National Association of Manufacturers (NAM), an industrial advocacy group, warns the disruption isn’t over—NAM’s spring 2023 survey found 90% of respondents saw significant (52.5%) or partial (39%) supply chain disruption during the past two years. Just 0.5% of respondents reported no disruption at all. Digitization presents an opportunity to overcome supply chain disruption by making data flow more efficiently, using technology and data standards to break barriers between disparate systems.

“Phygital merges two worlds together, where standards provide an interoperable system of defined data structures,” says Melanie Nuce-Hilton, senior vice president of innovation and partnerships at GS1 US, a member of GS1, a global not-for-profit supply chain standards organization. “The approach is intended to deliver multiple benefits—improved supply chain visibility for traceability and inventory management, better customer experiences across online and offline interactions, and the potential for better circularity and waste reduction by maintaining linkages between products and their data throughout their lifecycle,” she says.

Unlocking data value

Phygital systems blend digital tools and data standards with physical data carriers, such as barcodes. These tie products, assets, logistics units, and locations within a supply chain to digital information for enhanced accuracy and consistency. This capability, especially with more advanced data carriers, can help automate data flows and boost supply-chain visibility.

Newer barcode iterations such as the increasingly common QR codes (quick-response codes) or Data Matrix barcodes (codes with a black-and-white grid pattern), store more information—up to 7,000 characters, compared to about 20 characters for conventional bar codes. The technology is growing alongside its use in the supply chain. Grand View Research data measured the global barcode reader market at $7.3 billion in 2022, and projects it will maintain a 7% CAGR from 2023 to 2030.

By uniquely identifying products and tracking their supply chain journey with universal standards, Nuce-Hilton says, organizations can unlock extended value for the whole enterprise. This can lead to raising operational efficiencies, improving safety, attracting consumers, advancing energy efficiency, and decreasing waste. “Supply chain resilience isn’t just about the supply chain,” she says. “It’s about the whole enterprise coming together from a data, product, and execution point of view to create an immersive experience.”

The best of both worlds

Several industries have explored phygital connections to enhance user experience or speed up processes. There are multiple ways to connect physical objects to technology and standardized data; all can help make data accessible, sharable, and useful. These phygital connections of product data, financial facts, and information to real-world activity can lead to a more resilient supply chain, Nuce-Hilton says.

For example, retailer Pacsun launched a phygital venture—Pacsun Los Angeles Tycoon—in early 2023 with platform provider Roblox. This metaverse experience uses avatars so participants can connect and play games while viewing Pacsun’s 2023 summer clothing collection, bridging physical and virtual experiences. Nike also used phygital tools in 2022 in its Cryptokicks digital sneaker campaign with Roblox. Avid sneaker collectors can buy virtual sneakers as non-fungible tokens (NFT). Each unique digital pair is one of 20,000 customizable NFTs, some of which trade for hundreds—or thousands—of dollars.

Healthcare companies have invested in phygital track-and-trace technology like barcodes and RFID tags for patient safety: Global healthcare company Fresenius Kabi relies on GS1 DataMatrix, a two-dimensional barcode carrying drug information, for its product portfolio. German consultancy Roland Berger said in its 2021 Future of Health 3 study that such digital health care technologies are reaching maturity, pointing to not just tracking but digital patient monitoring, early detection devices, and using data for AI for diagnostics and therapies.

Phygital technology also helps the food industry keep food safer, while ensuring trading partners and consumers can get the products they want. Imagine, Nuce-Hilton says, a frozen pizza manufacturer whose products, with various expiration dates included in 2D barcodes, ship to hundreds of retailers from dozens of plants. With machine-readable expiration data, the manufacturer and retailer can know which products will expire and when, avoiding delays, inventory gaps, and empty shelves. A 2023 Zebra Technologies annual survey found nearly half of retail shoppers who left stores emptyhanded did so because their item was out of stock, an experience increasingly commonplace during the past two years, having increased by 26% since the 2019 survey.

Examining the business benefits

Phygital tools, with data standards and technology, deliver broad benefits to the enterprise, Nuce-Hilton says. These are some of the ways businesses can benefit.

Supply-chain traceability: Produce grower Ocean Mist Farms encodes traceability data, such as which crew picked the produce, the farm location, and packaging methods, in barcodes on case labels to enhance inventory management and order optimization. The grower calculates that barcodes, digital tools, and data standards help them achieve up to 35% in time savings compared to their former system.

Safety and quality assurance: Fast-food restauranteur Subway relies on barcodes for product data, which identify product expiration dates, best-before guidelines, and sell-by data. Traceability means faster and more accurate inventory management, and cuts down on human error. Data standards and technology empower them to quickly apply safety practices to protect consumers.

Improved sustainability posture: Consumers and investors increasingly want to see environmental, social, and governance (ESG) data. Companies can build trust by increasing availability of ESG data, providing accountability. Phygital ESG data can include such things has product origin, ingredients, biodegradability, production processes, and energy use.

More connected consumers: When customers scan object identifiers, they establish a phygital connection. This can provide customers with information such as how an item is made, ingredients, or geographical origin. Customers are interested: McKinsey 2022 data says customers who buy using omnichannel methods (a combination of physical, digital, and other experiences) shop 1.7 times more than consumers who don’t—and they also spend more.

Building for phygital success

Organizations can benefit—using standards, technology, and data—by putting their data to work more broadly, says Nuce-Hilton. She suggests the following:

Deploy the right technology tools: Advanced data carriers hold a large amount of information, so it’s critical to use appropriate analytics tools and IT resources to analyze and convert data into business insights. Throughout the supply chain, these tools can enhance inventory management, streamline logistics, and support traceability and sustainability.

Look to AI for speed: As phygital systems make it easier to collect product data, innovative technologies such as generative AI promise to up the ante by accelerating tasks, such as creating code and analyzing supply chain data to detect anomalies and recommend corrections.

Shape behavior around standards and collaboration: Increasingly complex supply chain ecosystems make collaboration and communication critical. “You can deploy any technology you want and call it what you want, but until the behaviors associated between trading partners change, you won’t be successful,” says Nuce-Hilton. Processes and underlying data structures are a common language for supply-chain partners.

Supply chain resilience is needed to meet fluctuating consumer demands, respond to unanticipated roadblocks, and satisfy ESG goals. Today’s business environment makes that a challenge, says Nuce-Hilton. “But we could change that, if we empower organizations with the data to make better decisions further upstream in the supply chain,” she says.

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff.

Transformation requires companywide engagement

Enterprises are shifting operations from on-premises to the cloud, and industry momentum for digital transformation continues to push forward. Gartner estimates that 80% of CEOs are increasing investment in digital technologies in 2023 to achieve greater efficiency and productivity. Cloud and digitization are becoming a necessity across industries to ensure competitiveness.

But as companies make these shifts, employees feel the change in atmosphere. And according to the American Psychological Association, people often reflexively resist organizational change, especially when they don’t understand the reasons for the change. Transformation is not just about onboarding technology: it means changes in people’s responsibilities, daily routines, and workstyles. The key to taking full advantage of these powerful digital tools is understanding how they affect employees at all levels.

It can be hard for leaders to avoid rushing ahead, because digital transformation is a chance to look at the whole operation, says Jennifer Chilton, principal of advisory and enterprise solutions at KPMG. It’s exciting to ponder an all-encompassing view of efficiency that can automate manual processes, she says, not only for a smoother workflow, but for faster information flow around the business: “Improve the controls, improve the speed.”

A successful transition requires an equally expansive view of the one component on which it all hinges: people. Michelle Kent, principal at KPMG’s people and change practice, has a blunt message for executives who give their staff little notice before major changes, scant information about the future state of the company, and negligible involvement in the planning: “That’s not how people work.”

Download the full report.

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff.

Shein sued Temu. Temu sued Shein. The war over fast fashion is heating up.

This story first appeared in China Report, MIT Technology Review’s newsletter about technology developments in China. Sign up to receive it in your inbox every Tuesday.

Even though I know that Temu and Shein, two Chinese e-commerce platforms, occupy the same off-price shopping space, I have to admit I didn’t expect the tensions between them to escalate so quickly.

Last week Temu, the young shopping platform currently bombarding US users with social ads, filed an antitrust lawsuit in federal court against Shein, the older shopping website that has been massively popular among Gen-Z consumers in recent years. The accusations in the suit are quite revelatory if you want to learn more about the state of the “ultra-fast fashion” business.

As regular readers know, I have covered both platforms repeatedly, writing about how Temu bought its way into public attention, how Shein messed up its influencer campaign, and my brief personal obsession with Shein. These reads should be helpful if you want to understand the two platforms, which are rare examples of Chinese tech companies still trying to become mass consumer brands in the US and finding at least some success despite changeable policies at home and political hostility in the US. 

Yet, perhaps unsurprisingly, they don’t seem to bond over their shared difficulties. Instead, the competition between Shein and Temu is starting to look like a race to the bottom. The two platforms are engaged in an escalating legal battle over what each claims is unfair competition. 

It started in December, when Shein sued Temu over intellectual-property infringement. Specifically, Shein accused Temu of misleading consumers into thinking they were the same brand, allegedly selling products copyrighted by Shein and displaying the word “Shein” in search ads that led to Temu’s website. It also claimed that Temu is behind three imposter Twitter accounts using names like “Shein_USA” and asking fans to support “the new Twitter of Shein” while posting links to Temu’s app and website. The two companies are still fighting over this case in court.

Now Temu is striking back and accusing Shein of violating US antitrust law by forbidding suppliers from working with the newer platform. According to the court filing, Temu says Shein has asked all of its more than 8,000 manufacturers to sign exclusive agreements and “loyalty oaths” that specifically prevent them from selling on Temu. It also claims Shein is using false copyright infringement claims to try to get Temu to take down certain products that Temu sells at cheaper prices than Shein does.

“For a long time, we have exercised significant restraint and refrained from pursuing legal actions. However, Shein’s escalating attacks leave us no choice but to take legal measures to defend our rights and the rights of those merchants doing business on Temu, as well as the consumers’ rights to a wide variety of affordable products,” Temu told MIT Technology Review.

Meanwhile, a Shein spokesperson told MIT Technology Review, “We believe this lawsuit is without merit and we will vigorously defend ourselves.” 

While the validity of Temu’s claims is up for the court to decide, reading the filing offers quite an education—it paints a detailed picture of the ultra-fast-fashion industry that Shein and Temu are competing in, and more specifically the supply-chain model that has been essential to Shein’s success over the past several years. 

To take a step back: Shein doesn’t operate like traditional consumer brands. Instead of owning factories that make products for it exclusively, the company works with a vast network of independent Chinese factories. Most times, these factories create the designs, manufacture the products, and sell them to Shein, entrusting the platform to deal with other processes, like listing, customer service, and shipping. 

Shein offers these suppliers a steady stream of overseas orders. In exchange, it buys the products at very low prices and requests that the suppliers remain loyal to the brand. “As the dominant ultra-fast-fashion retailer, Shein knows that manufacturers need Shein’s volume and its access to the US market and it is, therefore, able to coerce manufacturers into arrangements that force manufacturers not to do business with Temu,” says Temu’s filing. 

This has apparently created a big headache for Temu. The new player’s business model seeks to replicate the success of Shein’s in many ways. Both have capitalized on cheap international shipping, China’s strong manufacturing capacity, and, crucially, the supply chain that Shein pioneered.

For a while, the companies differentiated themselves by the kind of products they sold: Shein is more about apparel, while Temu is more about household products. But each platform is now looking at the other’s primary product lines too, making the companies more direct competitors—meaning that they are going after the same suppliers.

Since both of them rely heavily on maintaining an expansive network of low-cost suppliers, it would be devastating if one platform—especially the more established one—forced producers to choose between the two. This is essentially what Temu is accusing Shein of doing.

(To be fair, Temu itself is no stranger to accusations of coercion against suppliers. Many Chinese sellers have complained that the platform forces them to accept extremely low prices or arbitrarily ends their business when it finds a cheaper supplier.) 

Historically, exclusivity agreements have not been uncommon in Chinese tech fights. For more than a decade, companies like Meituan and Alibaba’s Taobao forbade vendors from working with competitor platforms, until the Chinese government explicitly banned such deals in an antitrust push in 2021.

But publicly exposing this practice today in the US doesn’t seem like a wise thing to do, at least in my opinion. The popularity of Shein and Temu has already caught the eyes of politicians and policy experts in Washington, who see them as the next privacy or intellectual-property threat from China. And what they are accusing each other of doing will almost certainly become ammunition for future criticism. In that case, maybe neither of them will be able to survive in the US market.

What do you think of the business model of ultra-fast fashion? Let me know your thoughts at zeyi@technologyreview.com.

Catch up with China

1. Two US congressional committees have announced investigations into Ford’s battery plant in Michigan, which sources technologies from a Chinese company. They’re concerned the batteries could exploit a loophole in the Inflation Reduction Act. (Quartz)

2. Meanwhile, congressional Republicans are divided over whether the US should restrict outward investment in China. (Politico)

3. A Chinese economist estimates the youth unemployment rate in the country at 46.5%, two times the official figure. (Reuters $)

4. In another example of conflicting numerical narratives, official data showed that the number of cremations in an eastern province in China increased 70% in the first quarter of 2023 compared with last year, which suggests a much larger covid death toll than Beijing admits. Then the numbers were scrubbed from the web. (New York Times $)

5. Beijing officials met with global venture capitalists and private equity investors to quell their anxieties about investing in China. (Bloomberg $)

6. When Chinese companies have gone public overseas, their filings have usually included a section that warns investors of the policy risks in China. Now Chinese regulators are asking them to sugarcoat it. (Reuters $)

7. Pandemic travel restrictions have made Chinese postpartum nannies, who take care of new mothers, highly in demand in the Bay Area. Prospective clients need to make reservations seven months in advance. (San Francisco Chronicle $)

Lost in translation

Now that China has terminated all its covid prevention programs, mRNA companies in the country are struggling to stay relevant, the business publication Jiemian reports. Since China never approved any foreign-made mRNA covid vaccines for use in the country, a few domestic companies had high hopes that they could offer homegrown alternatives. At their peak, these mRNA companies secured billions of dollars of venture capital and even acquired emergency-use approvals for vaccines in countries like Laos and Indonesia. However, none of the Chinese mRNA products cleared final clinical trials or won approval for commercial use at home. One of the leading companies, Stermina, suspended its Shanghai factory operation earlier this month because of inadequate demand. As market interest in covid vaccines wanes, these companies are announcing pivots in their research to mRNA vaccines against cancers or rabies.

One more thing

Just how popular are bubble teas? Right now, there are six Chinese bubble tea makers that plan to file to go public—but in the US or Hong Kong, Bloomberg notes, and not at home. It turns out they can’t list on domestic stock markets; the Chinese stock regulator apparently thinks their businesses are too risky. I, a loyal customer, beg to differ.