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Is Congestion Pricing Working? The MTA’s Revamped Data Team Is Figuring It Out

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Is Congestion Pricing Working? The MTA’s Revamped Data Team Is Figuring It Out


For the New York City Metropolitan Transportation Authority’s data and analytics team, January 5, 2025, felt a lot like kismet.

Three and a half years earlier, New York state legislators had passed a law requiring the MTA to release “easily accessible, understandable, and usable” data to the public; by January 2022, MTA chair and CEO Janno Lieber officially announced the new team’s formation. Meanwhile, New York City’s controversial congestion pricing program, which tolls cars entering Manhattan’s busiest streets, officially kicked off in 2019 but was chugging through a lengthy setup process, with the transit agency and state fighting lawsuits, politicians, and vocal naysayers along the way.

So when the program finally started in January, the MTA’s data and analytics team had prepared. They could see the moment the tolling started right in the spreadsheets. “The day that it turned on, one field changed from ‘no revenue collection’ to ‘revenue,’” says Andy Kuziemko, the deputy chief of the data and analytics team.

A few days later, the team was pumping out data on vehicle entries into the zone in 10-minute increments, and posting the data on its website, so that New Yorkers themselves could decide whether the congestion program was actually reducing traffic on city streets. The agency has been doing it since. You—yes, you—can view and download the MTA’s data right here.

The online web pages aren’t flashy, but they represent a rare and comprehensive public transit win for open-data advocates, who argue that access to well-maintained public datasets is crucial to government transparency and efficiency.

Since 2022, the MTA’s data and analytics team has grown to 26 full-time employees, who spend their workdays centralizing information that was once scattered through the entire MTA. The agency, to be clear, is big. The nation’s largest, it carries some 5.9 million riders on subways, buses, commuter railways, and through tunnels and bridges every day. That’s a lot of numbers to track.

Really a lot; MTA now publishes more than 180 datasets. Recent additions include more than a decade’s worth of data on the time MTA employees spend on “productive tasks,” a new dataset on subway-delay-causing incidents; and bus speeds on Manhattan’s most crowded downtown roads. Kuziemko says 30 more datasets are becoming publicly available “in the near future.”

Counter Intelligence

In an interview, Kuziemko and MTA chief of strategic initiatives Jon Kaufman credited a new culture of intra-agency data sharing for the renewed program. In 2023, leadership encouraged managers across the agency to allow their data to be ingested into the MTA’s “data lake,” which can be refined, stripped of identifying information, and eventually published openly. (Some of the MTA’s data contains the personally identifiable information of commuters; the agency says this specific data is not published for the public.) The agency has also started using new in-house software and tools, which give them technical capabilities they didn’t have before. “We have paid for zero hours of consulting time, which is a thing we’re really proud of—that we actually built in-house expertise in the public sector,” says Kuziemko. “It’s really cool.”

“It’s rare for a government agency to share this level of data granularity,” says Sarah Kaufman, who directs the NYU Rudin Center for Transportation and once led the agency’s open-data program. In fact, it’s something like an about-face for the MTA, which before 2009 made a habit of legally pursuing developers who scraped system timetable and route data to build rider-friendly apps.



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Chicago tech entrepreneur Eric Lefkofsky has launched six unicorns, building a legacy far beyond Groupon

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Chicago tech entrepreneur Eric Lefkofsky has launched six unicorns, building a legacy far beyond Groupon


Credit: Unsplash/CC0 Public Domain

Since the dawn of the new millennium, there have been at most several thousand startup tech companies across the U.S. that have achieved unicorn status—crossing the $1 billion valuation.

Eric Lefkofsky, 55, the Chicago-based serial entrepreneur best known for co-founding online site Groupon, has given rise to six of them, evolving from discount coupons for pedicures to potentially lifesaving cancer treatments using .

For most Chicagoans, however, the soft-spoken Lefkofsky remains something less than a household name, a billionaire entrepreneur whose brand is not emblazoned on a skyscraper, despite helping to put the city on the tech world map.

“He’s been a huge force in Chicago,” said Howard Tullman, a Chicago venture capitalist and the former CEO of 1871, the city’s influential tech hub. “This is not a guy who spent a lot of time chasing recognition, and he’s been a little bit below the radar. And I think that’s really particularly admirable.”

While unicorns are far more plentiful now than when venture capitalist Aileen Lee coined the mythical appellation in 2013, Lefkofsky remains a rarity in Chicago tech circles and beyond, launching and nurturing a diverse portfolio of big ideas brought to life.

For much of Lefkofsky’s remarkable run, the startups have been developed at 600 W. Chicago Ave., the century-old former Montgomery Ward Catalog building, which became known colloquially as the Groupon building with the stratospheric rise of the e-commerce website.

At one point, Lefkofsky’s various ventures occupied more than three-fourths of the massive 1.65 million-square-foot building in the Goose Island neighborhood along the Chicago River.

Founded in 2008, Groupon, which once spurned a $6 billion takeover offer from Google on its way to a $25 billion valuation, has fallen in recent years to a fraction of its previous worth amid sharp revenue declines. In January 2024, a downsizing Groupon moved to smaller digs downtown, leaving a 300,000-square-foot hole in the onetime nexus of the Chicago tech scene.

Once its largest shareholder with a 40% stake, Lefkofsky stepped down from an active leadership role at Groupon in 2015 and has since pared his holdings to just under 10%.

But Lefkofsky is still hard at work inside the building where the online daily deals site was born, fully invested in developing the next big thing.

Besides Groupon, the list of billion-dollar startups founded by Lefkofsky includes InnerWorkings, Echo, Mediaocean and Pathos AI. In recent years, most of his time, money and energy have been focused on Tempus, an AI-powered health care technology company he founded in 2015 to treat cancer and other diseases.

Lefkofsky serves as CEO of Tempus, a publicly traded company with 4,000 employees, offices and labs across the country and a market cap of more than $13 billion. More than any other company in his portfolio, the mission is personal to Lefkofsky, who started Tempus after his wife was diagnosed with breast cancer.

“In the process of her treatment, I ended up deciding that I really wanted to focus on this space, and spend the rest of my career thinking about cancer, how to bring technology to cancer care,” Lefkofsky said during a recent visit to Tempus headquarters, a bustling office and laboratory space that occupies 217,000 square feet of the former Montgomery Ward/Groupon building.

More than 1,000 employees circumnavigate the bustling fifth floor Tempus office around an atrium that Lefkofsky said was a spiral parking ramp before the building—a National Historic Landmark that once housed the country’s oldest mail-order firm—was converted to tech space 25 years ago.

The Tempus workforce is a melange of techies, scientists, oncologists and pathologists, all blended together with the same goal: using AI to better treat cancer.

“What’s unique about Chicago is that we have a little bit of everything,” Lefkofsky said, navigating seamlessly between the worlds of technology and science on a tour of his sprawling office.

There are two main areas of focus for Tempus.

In the life sciences realm, the company is analyzing molecular and with the help of artificial intelligence to facilitate drug research and development. Tempus is also pioneering new technology such as biological modeling, where “mini-tumors” are regrown from lab samples to test the efficacy of drugs.

The other half of the business for Tempus is clinical genomic sequencing, where tissue from cancer patients is shipped into the lab from all over the U.S. and analyzed using artificial intelligence to personalize treatment based on molecular biomarkers.

Half of the nation’s 14,000 or so oncologists regularly order sequencing tests from Tempus, Lefkofsky said. Tempus is one of the largest genomic sequencing companies in the country, helping doctors identify mutations to inform cancer treatment decisions, he said.

“When we started Tempus 10 years ago, maybe 10% of the patients were sequenced,” he said. “Today it’s over 50% in the United States, and soon it will be 100%. It’s just standard care.”

Lefkofsky has poured $100 million into Tempus, which has yet to turn a profit. He is confident that is about to change.

Tempus reported nearly 90% year-over-year revenue growth during its second quarter earnings report Aug. 8, raising its full-year 2025 revenue guidance to $1.26 billion. The company, whose stock price has more than doubled this year, is projecting a positive adjusted EBITDA of $5 million for 2025.

Beyond seed money, growing Tempus from a startup to a $13 billion company has also required a lot of sweat equity from Lefkofsky.

“It was not a small amount of money that I ended up putting into a series of rounds,” he said. “But more than the capital, it’s been kind of all-consuming for the last 10 years of my life.”

He was pretty busy before Tempus as well.

In addition to the six unicorns, Lefkofsky co-founded venture capital firm Lightbank. His startup success has made him the 643rd richest person in the world with a net worth of $5.9 billion, according to the Forbes real-time billionaires list.

A Detroit native, Lefkofsky earned a bachelor’s and a law degree at the University of Michigan before making his mark on the Chicago tech scene.

In the wake of the dot.com bubble burst, Lefkofsky launched a string of startups, beginning with InnerWorkings, a printing technology company he founded in 2001. Two years later, Lefkofsky moved InnerWorkings into 600 W. Chicago, the hulking former warehouse that had been recently redeveloped as a tech center.

“When I came to the building, it was about 90% vacant—and most of these floors were concrete for parking,” Lefkofsky said. “There were maybe one or two built floors and they were maybe half built, and we took some space with InnerWorkings.”

With plenty of room to grow, Lefkofsky and his portfolio soon did.

In 2005, he co-founded Echo Global Logistics with longtime business partner Brad Keywell, using technology to drive freight transportation. The company went public in 2009, growing into a multibillion-dollar logistics giant.

Next up, Lefkofsky and Keywell founded MediaBank in 2006, an advertising technology startup that evolved into Mediaocean through a 2012 merger with a New York-based rival.

Then came Groupon, an e-commerce launch that has become almost mythic in its arc.

In 2007, Andrew Mason, then a recent Northwestern University music grad, started a website called The Point with $1 million in seed money from Lefkofsky. The initial concept was to bring together people with a common cause to take action, but the mission soon pivoted to a daily deals retailing site, and Groupon was born.

Groupon created its own e-commerce niche with heavily discounted daily deals on everything from manicures to meals, blasted out to subscribers via email. It exploded in popularity and employment grew from a handful to more than 10,000 worldwide as the company’s valuation blossomed into the billions.

Google tried to purchase Groupon for nearly $6 billion in 2010, but Mason and his investors said no deal. By 2011, Groupon was valued at $25 billion, and the company went public, raising $700 million in the largest tech initial public offering since Google.

From an investor standpoint, it has been mostly downhill from there.

Operating losses, management missteps—including a disastrous 2011 Super Bowl ad— and a rapid post-IPO decline in valuation led to the 2013 ouster of Mason as CEO.

In August 2013, Lefkofsky was named CEO of Groupon. But one year into his new role, Lefkofsky’s life changed when his wife, Liz, was diagnosed with breast cancer. By 2015, he stepped down as CEO at Groupon and started Tempus.

Ten years later, Lefkofsky said his wife is “doing well” and Tempus is thriving at the intersection of technology and medicine.

In this case, necessity was both the mother of invention—and their three children.

“The work we did to try to figure out how to treat her was actually personalized using data, and so it ended up producing a good outcome,” Lefkofsky said. “So in many ways, she was Patient One of Tempus.”

From the outset, Tempus employed artificial intelligence to analyze medical data—long before the term, and the technology, came into widespread use.

As the ability to use AI in health care at scale gains momentum, the opportunity for Tempus to become a standard diagnostic tool and an integral part of mainstream medicine continues to ramp up, Lefkofsky said.

“We’re helping tens of thousands of patients around the country manage their cancer care, and we’ve expanded it to other disease areas such as cardiology and neurology,” Lefkofsky said. “It’s just good to see a lot of the roots we planted take hold.”

Living up to his company’s name—tempus means time in Latin—Lefkofsky somehow manages to find enough time for a number of the city’s civic and cultural organizations.

Longtime Glencoe residents, Lefkofsky and his wife are actively engaged in philanthropic pursuits, establishing an eponymous family foundation in 2006. He has also served on a number of boards, including Steppenwolf Theater Company, Lurie Children’s Hospital and World Business Chicago.

“I think he’s been a tremendous entrepreneurial influence, and I think that he’s also been maybe even more impressive, frankly, on the philanthropic side,” Tullman said.

In November, the Art Institute named Lefkofsky as its new board chairman, putting the tech billionaire in charge of overseeing the museum, the school and an ambitious plan to usher in an era of new development at the historic South Michigan Avenue campus.

His new role came with some unexpected drama when the museum’s director, James Rondeau, returned from a voluntary leave in June following a board investigation into an incident where he removed his clothes and disrupted a United Airlines flight to Germany.

“As a board, we were thrilled to have him back and thrilled just to be moving forward,” Lefkofsky said.

Meanwhile, his day job may be entering a new phase as fledgling companies leave the nest and head off on their own—faster than new ones launch.

InnerWorkings, Echo and Mediaocean have all been acquired by private equity firms. Czech investor Dusan Senkypl, now the largest stakeholder in Groupon, took the helm of the struggling daily deals site and last year moved the company to a smaller space in the Leo Burnett Building on Wacker Drive as part of a larger cost-cutting initiative.

Pathos AI, a Chicago-based biotech startup Lefkofsky co-founded with Tempus COO Ryan Fukushima in 2020, gained unicorn status in March with a $365 million round of funding that brought its valuation to $1.6 billion. Its day-to-day management is vested in other hands.

Pathos, Echo and Tempus still call 600 W. Chicago Ave. home.

Lefkofsky continues to focus on building Tempus, which in late August announced the acquisition of Paige, an AI company specializing in digital pathology. The $81 million deal is mostly being paid with Tempus common stock.

With six unicorns under his belt, Lefkofsky is not ready to give up the CEO’s role at Tempus anytime soon.

“I think my focus over the next several years is just running Tempus and making sure that it delivers on its mission,” Lefkofsky said.

As to the prospects of starting unicorn No. 7 down the road, Lefkofsky didn’t rule it out.

“I don’t have any plans to start another company,” he said. “But every once in a while, you know, things come up and you get excited.”

2025 Chicago Tribune. Distributed by Tribune Content Agency, LLC.

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UK sets out plans for AI assurance leadership | Computer Weekly

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UK sets out plans for AI assurance leadership | Computer Weekly


The government has unveiled its Trusted third parties AI assurance roadmap as it attempts to encourage investment in UK artificial intelligence (AI), covering professional certification and verification of AI quality processes.

Labour wants AI investors and regulators to go further and faster to deliver growth for the UK’s AI sector as part of the government’s modern industrial strategy.

In a speech at Mansion House, technology secretary Peter Kyle called on industry to step up and match the UK government’s ambition when it comes to AI. “Countries can only prosper if they get the big calls right, if they decide to go beyond the expected and embrace the future, to innovate not imitate – refusing to be constrained by the problems of today by taking up the challenges of tomorrow,” he said. “In these uncertain times, I am certain that’s what it takes to get a global competitive edge.

“We want you to keep investing here, keep building here – list here, scale here. If you invest in Britain, you’ll share in that competitive edge.”

In the policy paper, Feryal Clark, parliamentary under-secretary of state for AI and digital government, discussed the UK’s opportunity to become a leader in AI assurance.

To capitalise on the opportunities that AI presents and drive adoption, she said: “We must ensure it is developed and deployed responsibly, working as intended. As a means of demonstrating the trustworthiness of AI systems, AI assurance has a vital role to play in building confidence in AI systems, ensuring firms can confidently invest in new products and services, and helping to drive innovation and economic growth.

“We believe the UK has a unique opportunity to be a world leader in AI assurance services, building on its strengths in both the professional services and technology sectors.”

The roadmap lays out plans to set up an AI assurance consortium, which will be tasked with developing the building blocks to support future professionalisation, including developing a voluntary professional code of ethics for AI assurance.

It discusses some of the responsibilities of the consortium, including the development of a comprehensive skills and competencies framework for AI assurance.

The roadmap also recognises that new types of testing and evaluation methods, tools, and services will be required to assure AI systems, which will involve feedback from diverse experts, including AI developers.

In terms of professionalism and quality control, the policy document discusses the opportunity to offer government-backed professionalisation, which could give aspiring professionals confidence that associated qualifications and training programmes are high-quality and offer a meaningful path into the assurance profession.

Chancellor Rachel Reeves said: “This country has huge potential, but our economy has been stuck on pause for too long. By giving companies the right environment to innovate, grow and create jobs we are changing that, delivering economic growth to put more money in working people’s pockets.”



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Some 87% of enterprises see private wireless, edge ROI in a year | Computer Weekly

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Some 87% of enterprises see private wireless, edge ROI in a year | Computer Weekly


Artificial intelligence (AI) and private networks have helped elevate industrial networking, yet research from Nokia has found that AI’s potential in industrial settings hinges on access to high-quality, real-time data, while on-premise edge and private wireless are key to unlocking AI’s potential in complex industrial environments.

Nokia’s 2025 Industrial digitalisation report drew on insights from 115 industrial enterprises in manufacturing, energy, logistics, mining and transportation in Australia, Germany, Japan, the UK and the US.

Among the key findings of the study was that as many as 87% of on-premise edge and private network adopters are seeing a return on investment in just one year while enabling AI-driven use cases. In addition, 81% of industrial enterprises found setup costs lower, with over half saving at least 11%. Ongoing costs also dropped for 86% of companies, with 60% reporting savings of at least 11%.

Virtually all industrial enterprises were found to have deployed on-premise edge technology alongside private wireless. This combination said Nokia was enabling secure, low-latency connectivity in complex environments and pervasive sensor coverage, even in hard-to-reach areas, supporting AI-driven use cases such as predictive maintenance, real-time monitoring and digital twins in 70% of surveyed enterprises.

The study also highlighted how operational performance improvements driven by private wireless networks are supporting sustainability goals. Some 94% of the surveyed industrial enterprises reported a reduction in carbon emissions, with 41% achieving decreases of more than 20%, and 89% seeing energy savings. These gains were being amplified by predictive maintenance, connected devices and drones that cut fuel-intensive travel and enable more accurate, real-time emissions tracking.

Beyond environmental impact, 71% of surveyed companies were found to be actively deploying connected worker tools such as automated alarms, AI-assisted monitoring and geofencing solutions to reduce accidents and strengthen worker safety.

Nokia suggested that connected devices streamline tasks by reducing the need to move for signal and simplifying access to information. They also cut paperwork and minimise human error, boosting efficiency on-site, and automation.

Not surprisingly, security remained a top priority, with 57% of respondents identifying cyber security as a driver to deploy an industrial edge platform powered by a private wireless network. Nokia noted that its private wireless solutions offer built-in encryption, physical network separation and compatibility with zero-trust frameworks, making them ideal for mission-critical infrastructure while maintaining business continuity and compliance.

The study was conducted by GlobalData. Assessing the trends revealed in the study, the company’s research director Gary Barton said: “Industrial enterprises are turning to private wireless and on-premise edge to drive innovation and industrial transformation.

“These deployments are delivering a clear return on investment and enabling use cases that would not otherwise have been possible. Private wireless and edge have helped enterprises to improve worker safety, support sustainability and create a delivery platform for AI-powered solutions such as process automation and predictive maintenance.”

David de Lancellotti, vice-president of enterprise campus edge sales at Nokia, added: “[Research] forecasts the global private wireless network market will nearly double to US$8bn by 2027. This reflects the growing demand as industries face mounting pressure to modernise in line with global sustainability and efficiency goals.

“[This] research helps leaders build strong business cases for digitalisation by showing how private wireless and on-premise edge not only reduce costs but also accelerate scalable transformation with measurable improvements in worker safety, productivity, security and environmental impact.”

The study also showed that how leading chemical company BASF has deployed Nokia private wireless at its Antwerp facility to advance its digitisation strategy and enable reliable, high-performance connectivity across its six km2 premises. The private network supports AI- and sensor-driven use cases such as real-time monitoring and predictive maintenance, enhances automation and efficiency, improves worker safety, and reduces environmental impact.

“Private 5G has been a game changer for BASF Antwerp. We’re unlocking automation, strengthening occupational safety, accelerating innovation and meeting ROI targets in just two years,” said Steven Werbrouck, expert network connectivity at BASF. “We have become a front-runner for the wider group with learnings that will deliver value at multiple BASF group locations.”



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