Despite growing chatter about a future when much human work is automated by AI, one of the ironies of this current tech boom is how stubbornly reliant on human beings it remains, specifically the process of training AI models using reinforcement learning from human feedback (RLHF).
At its simplest, RLHF is a tutoring system: after an AI is trained on curated data, it still makes mistakes or sounds robotic. Human contractors are then hired en masse by AI labs to rate and rank a new model’s outputs while it trains, and the model learns from their ratings, adjusting its behavior to offer higher-rated outputs. This process is all the more important as AI expands to produce multimedia outputs like video, audio, and imagery which may have more nuanced and subjective measures of quality.
Historically, this tutoring process has been a massive logistical headache and PR nightmare for AI companies, relying on fragmented networks of foreign contractors and static labeling pools in specific, low-income geographic hubs, cast by the media as low wage — even exploitative. It’s also inefficient: requiring AI labs wait weeks or months for a single batch of feedback, delaying model progress.
Now a new startup has emerged to make the process far more efficient: Rapidata‘s platform effectively “gamifies” RLHF by pushing said review tasks around the globe to nearly 20 million users of popular apps, including Duolingo or Candy Crush, in the form of short, opt-in review tasks they can choose to complete in place of watching mobile ads, with data sent back to a commissioning AI lab instantly.
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As shared with VentureBeat in a press release, this platform allows AI labs to “iterate on models in near-real-time,” significantly shortening development timelines compared to traditional methods.
CEO and founder Jason Corkill stated in the same release that Rapidata makes “human judgment available at a global scale and near real time, unlocking a future where AI teams can run constant feedback loops and build systems that evolve every day instead of every release cycle.””
Rapidata founder and CEO Jason Corkill. Credit: Rapidata
Rapidata treats RLHF as high-speed infrastructure rather than a manual labor problem. Today, the company exclusively announced to us at VentureBeat its emergence with an $8.5 million seed round co-led by Canaan Partners and IA Ventures, with participation from Acequia Capital and BlueYard, to scale its unique approach to on-demand human data.
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The pub conversation that built a human cloud
The genesis of Rapidata was born not in a boardroom, but at a table over a few beers. When Corkill was a student at ETH Zurich, working in robotics and computer vision, when he hit the wall that every AI engineer eventually faces: the data annotation bottleneck.
“Specifically, I’ve been working in robotics, AI and computer vision for quite a few years now, studied at ETH here in Zurich, and just always was frustrated with data annotation,” Corkill recalled in a recent interview. “Always when you needed humans or human data annotation, that’s kind of when your project was stopped in its tracks, because up until then, you could move it forward by just pushing longer nights. But when you needed the large scale human annotation, you had to go to someone and then wait for a few weeks”.
Frustrated by this delay, Corkill and his co-founders realized that the existing labor model for AI was fundamentally broken for a world moving at the speed of modern compute. While compute scales exponentially, the traditional human workforce—bound by manual onboarding, regional hiring, and slow payment cycles—does not. Rapidata was born from the idea that human judgment could be delivered as a globally distributed, near-instantaneous service.
Technology: Turning digital footprints into training data
The core innovation of Rapidata lies in its distribution method. Rather than hiring full-time annotators in specific regions, Rapidata leverages the existing attention economy of the mobile app world. By partnering with third-party apps like Candy Crush or Duolingo, Rapidata offers users a choice: watch a traditional ad or spend a few seconds providing feedback for an AI model.
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“The users are asked, ‘Hey, would you rather instead of watching ads and having, you know, companies buy your eyeballs like that, would you rather like annotate some data, give feedback?’” Corkill explained. According to Corkill, between 50% and 60% of users opt for the feedback task over a traditional video advertisement.
This “crowd intelligence” approach allows AI teams to tap into a diverse, global demographic at an unprecedented scale.
The global network: Rapidata currently reaches between 15 and 20 million people.
Massive parallelism: The platform can process 1.5 million human annotations in a single hour.
Speed: Feedback cycles that previously took weeks or months are reduced to hours or even minutes.
Quality control: The platform builds trust and expertise profiles for respondents over time, ensuring that complex questions are matched with the most relevant human judges.
Anonymity: While users are tracked via anonymized IDs to ensure consistency and reliability, Rapidata does not collect personal identities, maintaining privacy while optimizing for data quality.
Online RLHF: Moving into the GPU
The most significant technological leap Rapidata is enabling is what Corkill describes as “online RLHF”. Traditionally, AI is trained in disconnected batches: you train the model, stop, send data to humans, wait weeks for labels, and then resume. This creates a “circle” of information that often lacks fresh human input.
Rapidata is moving this judgment directly into the training loop. Because their network is so fast, they can integrate via API directly with the GPUs running the model.
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“We’ve always had this idea of reinforcement learning for human feedback… so far, you always had to do it like in batches,” Corkill said. “Now, if you go all the way down, we have a few clients now where, because we’re so fast, we can be directly, basically in the process, like in in the processor on the GPU right, and the GPU calculate some output, and it can immediately request from us in a distributed fashion. ‘Oh, I need, I need, I need a human to look at this.’ I get the answer and then apply that loss, which has not been possible so far”.
Currently, the platform supports roughly 5,500 humans per minute providing live feedback to models running on thousands of GPUs. This prevents “reward model hacking,” where two AI models trick each other in a feedback loop, by grounding the training in actual human nuance.
Product: Solving for taste and global context
As AI moves beyond simple object recognition into generative media, the requirements for data labeling have evolved from objective tagging to subjective “taste-based” curation. It is no longer just about “is this a cat?” but rather “is this voice synthesis convincing?” or “which of these two summaries feels more professional?”.
Lily Clifford, CEO of the voice AI startup Rime, notes that Rapidata has been transformative for testing models in real-world contexts. “Previously, gathering meaningful feedback meant cobbling together vendors and surveys, segment by segment, or country by country, which didn’t scale,” Clifford said. Using Rapidata, Rime can reach the right audiences—whether in Sweden, Serbia, or the United States—and see how models perform in real customer workflows in days, not months.
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“Most models are factually correct, but I’m sure you’re you have received emails that feel, you know, not authentic, right?” Corkill noted. “You can smell an AI email, you can smell an AI image or a video, it’s immediately clear to you… these models still don’t feel human, and you need human feedback to do that”.
The economic and operational shift
From an operational standpoint, Rapidata positions itself as an infrastructure layer that eliminates the need for companies to manage their own custom annotation operations. By providing a scalable network, the company is lowering the barrier to entry for AI teams that previously struggled with the cost and complexity of traditional feedback loops.
Jared Newman of Canaan Partners, who led the investment, suggests that this infrastructure is essential for the next generation of AI. “Every serious AI deployment depends on human judgment somewhere in the lifecycle,” Newman said. “As models move from expertise-based tasks to taste-based curation, the demand for scalable human feedback will grow dramatically”.
A future of human use
While the current focus is on the model labs of the Bay Area, Corkill sees a future where the AI models themselves become the primary customers of human judgment. He calls this “human use”.
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In this vision, a car designer AI wouldn’t just generate a generic vehicle; it could programmatically call Rapidata to ask 25,000 people in the French market what they think of a specific aesthetic, iterate on that feedback, and refine its design within hours.
“Society is in constant flux,” Corkill noted, addressing the trend of using AI to simulate human behavior. “If they simulate a society now, the simulation will be stable for and maybe mirror ours for a few months, but then it completely changes, because society has changed and has developed completely differently”.
By creating a distributed, programmatic way to access human brain capacity worldwide, Rapidata is positioning itself as the vital interconnect between silicon and society. With $8.5 million in new funding, the company plans to move aggressively to ensure that as AI scales, the human element is no longer a bottleneck, but a real-time feature.
The sun shines a spotlight on the steep face of an unnamed crater. NASA’s Lunar Reconnaissance Orbiter (LRO) took this photo on August 30, 2023. This spacecraft has been orbiting the moon since 2009, continuously collecting photographs of its surface using its cameras. When the camera started rolling, the orbiter was floating about 100 kilometers above the moon’s surface, with the sun’s rays coming in at an angle of 82 degrees from the right.
This particular crater is 10 kilometers wide and dips off by more than 2 kilometers at 70 degrees south latitude and 302.46 degrees east longitude, and it is relatively close to the Bailly O crater. The sides of this crater are 36 degrees, which is roughly the angle at which debris falls on the moon, and the lines are rather clean, with the exception of a few small impact craters at the top. This shows that the crater is rather young, possibly no more than 2 million years old.
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The angle at which the light comes in allows you to see all of the tiny details that you would otherwise miss in a normal photo. So, in this view, which depicts a 12-kilometer stretch of lunar surface, you can see a lot of little differences in the landscape and minerals. There is a 3.5-kilometer length where the wall and floor have a distinct and dramatic contrast, with all sorts of small elements in the front and the backdrop fading into the shade.
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The LRO has done a great job of creating a complete map of the moon’s surface over the years as a result of all of the photos it has taken, and these can be used in the future to identify safe landing sites, locate ice in the polar regions, and calculate how much radiation you will be exposed to. And as new technology emerges, it becomes easier to prepare for long-term expeditions to the moon.
Apple’s cheapest laptop is also its most repairable. iFixit gave the new MacBook Neo a 6/10 repairability score. Although that number would only be mediocre for, say, a game review or final exam grade, it’s the MacBook line’s highest iFixit score in about 14 years.
As always, iFixit goes into great detail about the product’s repairability, but a few points stand out. First, the MacBook Neo’s battery is screwed down rather than glued — moving it from “this might burn the house down” to “routine repair” territory. The laptop also has a flat disassembly tree. That means its battery, speakers, ports and trackpad are all immediately accessible after opening the back case.
In other areas, a simplified antenna assembly helps the screen come away cleanly. Keyboard repair is still a bit tedious (41 screws and tape), but at least it isn’t riveted to the top case like on other models. (The screwed-not-glued battery helps here, too.) Apple’s decision to forego a Force Touch trackpad and return to a mechanical style improves repairability as well. And in a nice touch, all the machine’s Torx Plus screw sizes are clearly labeled inside the case.
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Several other encouraging signs carry over from recent MacBooks. iFixit found that Apple’s Repair Assistant accepted all replacement parts it tried without a fuss. And its USB-C ports and headphone jack are modular, so replacing either doesn’t “turn into logic board work.”
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Not everything is peachy. As expected, the Neo still has soldered RAM and storage, so there’s no upgrade path there. iFixit describes Apple’s pentalobe screws on the bottom case as an “annoying” choice. And while the device’s speakers are easy to remove, they, well, just aren’t very good. (Had to cut that cost somewhere.)
While iFixit describes the Neo’s repairability as “a real comeback,” it’s premature to assume higher-end MacBooks will follow suit. After all, with this $599 device ($499 for schools), Apple is targeting the educational sector, where repairability could mean more bulk orders. Until Apple is convinced that the MacBook Air or Pro would sell better with similar serviceability, this kind of score may be limited to the budget model.
In his latest Power On newsletter, Bloomberg’s Mark Gurman claimed that Apple will price its first foldable iPhone at “roughly $2,000,” much lower than previously rumored. If Gurman’s prediction holds, the iPhone Fold would match the pricing of the Samsung Galaxy Z Fold 7, which starts at $1,999 for the… Read Entire Article Source link
Chirp reinvented the wheel—or at least one type, the yoga wheel. Chirp Wheels are effective in relieving upper and lower back pain, sciatica, and tension headaches. WIRED contributor Hannah Singleton has said the Chirp Wheel XR-3 Pack has even helped undo her tech neck and alleviate her brain fog.
Recently, the wellness brand has expanded beyond its flagship wheels into recovery gear. The lineup now includes powered rolling massagers (which I’ve been using a lot lately for back pain relief), TENS units, and even a full massage table (Chirp Contour) that I’m currently testing (stay tuned for the full review). Where Chirp stands out from heavyweights like Hyperice and Therabody is in its simplicity and value. The products tend to focus on doing one thing well rather than piling on features you may never use. Chirp promos and discounts run frequently on the Chirp website, and we have Chirp discount codes, so you can get an even better deal on recovery gear that’s already reasonably priced.
Save up to 67% on Chirp Products With Daily Deals
I like checking Chirp’s Daily Deals page because the exclusive offers rotate frequently, and you can save as much as 67%. I’ve spotted the Chirp Wheel XR 3-Pack on there, but you’ll also find different versions of the wheel, along with storage accessories. Some wheels skip the pressure-point nodes, which can feel better if you’re focusing on improving spinal mobility and flexibility rather than digging into stubborn knots. If the Chirp RPM Mini pops up at a special discount, it’s worth considering for your first purchase. It’s essentially an electric roller that kneads muscles more gently than most percussive massage guns; it also comes with a carrying case, so you can toss it in a bag and take it with you.
Get up to 50% Off Refurbished Chirp Products
If you’re looking to save money, check out Chirp’s refurbished collection. These open-box units may show minor cosmetic wear from previous use, but they’re still fully functional. Inventory changes frequently, and the best deals tend to sell out fast, so it’s worth snagging as soon as it’s available. Keep in mind that refurbished items can’t be returned. Any other order you place sitewide is covered by a 30-day return policy.
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Get a Free Chirp Wheel+ Deep Tissue 2-Pack When You Spend $99 or More
Spend $99 or more, and Chirp will throw in a complimentary Chirp Wheel+ Deep Tissue 2-Pack, which retails for $75. The bundle includes two wheels: a 6-inch Deep Tissue Wheel designed for larger muscle groups and a 4-inch Focus Wheel meant to target trigger points in the neck and other small areas. You’ll need to sign up for the email newsletter to claim the freebie before adding it to your order.
Get Free Shipping on Chirp Orders Over $75
Chirp customers receive free shipping on U.S. orders over $75, and the perk stacks with the brand’s daily deals and most codes. If you time it right, you can shave a decent chunk off the final price. No promo code at checkout required.
Chirp Discount Code: Select Customers Can Get 15% Off
Chirp offers a 15% discount to certain groups through an online verification process. That includes: active-duty military personnel, veterans, and their dependents; first responders and law enforcement officers; medical professionals and healthcare workers; and teachers and academic administrators at any grade level.
Vivid Seats has been part of some of the highest of highs and lowest of lows of my concert-going experience. Because of Vivid Seats, I was able to get a last-minute ticket to Chance the Rapper’s sold-out Coloring Book show at the Oracle Arena in Oakland in 2017 (before he fell off; IYKYK). Vivid Seats helped me (and my sister) see our idol, Bad Bunny for the third time last year amidst the terror of trying to secure limited tickets to see a future Super Bowl performer and heartthrob.
While many concerts, sports events, and theater ticket resellers are shady—double-posting limited tickets and gouging prices—Vivid Seats has almost a 4 out of 5 stars on Trustpilot, keeping up with big dog ticket resellers like StubHub and SeatGeek. If you missed out on the initial release of tickets for your favorite artist’s tour, or just want to look for cheap tickets to a Broadway show while in the Big Apple, Vivid Seats has you covered. We have a Vivid Seats promo code and other deals to help you never miss the moment.
Unlock a Free Ticket: Buy 10 Tickets, Get the 11th Free
If you’re an avid concert-goer, signing up for a Vivid Seats Rewards account is a great way to save a whole lot more on tickets you were already planning to buy and events you were already planning on attending. To begin saving, you’ll need to join the Vivid Seats Rewards program (free sign-up) to start earning towards your next event. Plus, with a rewards account, you’ll get perks like a free birthday reward and surprise seat upgrades.
Then, you’ll begin earning rewards for every purchase, eventually earning a reward credit equal to the average price of your 10 previously purchased tickets (excluding taxes and fees). Once you buy 10 tickets, you’ll get the 11th ticket free via Vivid Seats Rewards.
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Verified Members Can Get 10% Off at Vivid Seats
Vivid Seats wants to reward the people who need to unwind and let loose with fun events the most, offering 10% off ticket orders of $25 or more for verified students, military, first responders, medical providers, nurses, and teachers. Just make sure to verify your ID and once confirmed, you’ll be able to start raking in Vivid Seats discount codes to sporting events, concerts, theatre, and more. This 10% off deal is good for up to $30 in total savings, meaning that you can get huge discounts on a more expensive major purchase. (Like that time I spent $1,200 on Bad Bunny tickets in an attempt to help cure my Pandemic depression … theoretically.)
Reveal App-Only Deals and Rewards for Maximum Savings
If you want even more Vivid Seats discount codes and promos, make sure you download the Vivid Seats app. There, you’ll be able to access exclusive mobile discounts and manage your rewards progress, like the “Buy 10, Get 11th Free” promo mentioned above. Plus, you’ll also find a Vivid Seats coupon specifically for mobile users, rewarding you with discounts for downloading a free app. Through the app, you can even sign up for push notifications on price drops on events you are tracking.
Grab Last-Minute Ticket Deals This March
One of the best skills I’ve learned living in New York City and attending Broadway shows, concerts, and arts events is how to scour last-minute deals on sought-after shows. Many times, venues will dramatically slash prices for day-of events to get butts in those seats. I recommend you check Vivid Seats (especially the convenient in-phone app) often, as prices most often fluctuate wildly as the event date approaches, dropping nearer the date of the event. Plus, with the Vivid Seats app, you can get your tickets instantly to your phone, and electronic delivery ensures you receive your tickets quickly, even if you buy them hours before the show. Plus, if you apply a Vivid Seats promo code to your first order, you can stack the savings on your initial last-minute purchase.
Although the Apple II range of computers were based around the 6502 processor, they could still run x86 software using expansion cards that were effectively self-contained computers. This way an Apple IIe owner, for example, could install an Intel 8088-based AD8088 co-processor card by ALF Products and run CP/M-86 as well as MS-DOS. Unfortunately, as [Seth Kushniryk] discovered while digging into this MS-DOS option, there don’t seem to be any remaining copies of the accompanying MS-DOS 2.0 software.
The obvious response to this is of course to try and port it once again, which [Seth] did. So far he got it to boot, though it’s not quite ready for prime-time yet. Although the AD8088 card is fairly self-contained, it still has to talk with the Apple IIe system, which poses some challenges. To help with the porting he’s using the MS-DOS 2.0 OEM Adaptation Kit that was released along with the sources a while back.
The Apple II has to first load the basic MS-DOS files into the 8088’s RAM before handing over control, which works now along with the basic functionality. Before [Seth] releases the port to the public he still wants to fix a number of issues, in particular the clock. ProDOS on the Apple IIe encodes the year differently than MS-DOS, so that the latter’s clock is off by a few years, and the console driver is still not quite as robust as [Seth] would like it to be.
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Beyond this there is also working with the other cards in the Apple II2 system, including the Super Serial Card, and working with the ProDOS filesystem.
Max Imagination, a DIY enthusiast, worked really hard to develop the ESP-BLAST from a rather simple concept. This tiny drone weighs only 136 grams (with the battery!) and can reach speeds of up to 108 kilometers per hour during outdoor runs. Here’s the amazing part: Max built this entire thing from scratch, using only common tools and spare components lying around, to show that you can achieve some truly incredible performance from a device that fits perfectly in your palm.
Max took inspiration from the larger high-speed drones being created by teams in South Africa and Australia. He was determined to test whether he could pack that same level of speed into a tiny little bullet that could shoot vertically like a rocket, and it appears that he was successful. The ESP-BLAST’s frame is a sleek bullet shape that was manufactured in durable PETG plastic using an Elegoo Neptune 4 Plus 3D printer. The entire frame weights 40 grams and it features separate nose as well as tail parts, along with small protective cones around each motor to keep things secure.
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Four small 1104 brushless motors are spinning 2.5-inch tri-blade propellers over here, and eight-amp micro electronic speed controllers ensure that power gets where it needs to go. All wiring is done with very thin 30-gauge silicone cable. Then there’s this custom-built circuit board with the ESP32 microcontroller, an accelerometer, gyroscope, magnetometer, barometer, and even a teeny tiny GPS unit for tracking speed, all designed by Max himself in Flux software and built for less than $8.
The device is powered by a 3S 450mAh lithium-polymer battery that slips neatly into the tail part. You can fly at maximum speed for two minutes or slow down for eight minutes. In terms of price, you’re looking at around 155 dollars for the entire package, but that can be reduced to 110 dollars if you skip a few sensors.
Up front, there’s a motorized camera that can automatically tilt its lens when the drone transitions from straight-up launch mode to level forward flight, ensuring you never lose sight of anything. The first-person footage feeds into a tiny 5.8-gigahertz camera, which is connected to a screen that displays live speed, battery voltage, and the number of satellites lined up.
The control signal is transmitted using the ESP32’s built-in wireless signal, which has a range of roughly 200 meters. If you need a greater range, you can easily add a longer-range receiver later on. Max fine-tuned the flight control software in Betaflight version 10.10 until everything was perfect, eliminating any wobbles and ensuring that the drone could withstand a large amount of power without losing its cool. Early tests got it up to about 60 kilometers per hour, but with a little additional tuning, he was able to increase the speed to 108.
First, Max tested the drone indoors to ensure that it could hover steadily. Then it headed out to the wide field for some serious speed runs. The drone requires at least eight GPS satellites before it will allow you to arm it, after which it will just lift off vertically and level out as it moves horizontally. Once it reaches speeds of up to 100 km/h, the bullet shape simply flies through the air with surprising stability. However, if you push it over that point, you will notice some drift, which Max was able to fix with a little adjusting. [Source]
In the mad dash many companies have made to incorporate AI features into their phones, Nothing arrived at one of the better ideas with Essential Space on the Nothing Phone 3a in 2025. The AI-powered app turns screenshots and voice recordings into actionable to-do lists and transcriptions, and now Nothing is rolling out an update to make the app easier to search and capable of recognizing new kinds of content.
As part of the update, Essential Space now recognizes “Events,” displaying them in their own card with fields for the date, time and location. That means, for example, if you add a photo of a flyer for pottery class to the app, Essential Space will be able to pull the details of when and where it’s happening, and track it in much the same way it does tasks or to-dos. Nothing foresees events being such a big part of how people will use Essential Space that it’s also changing the layout of the app’s interface and listing things like Events and Tasks in a new For You page you see when you open the app.
To make everything you’ve stored in Essential Space easier to find, the app now also supports semantic search, surfacing results that don’t just match the text you’ve entered, but try to match the meaning of what you’re looking for. Semantic search should be particularly useful when you’re looking for an image, because you can enter a description of what you’re looking for and Essential Space should still be able to surface it.
Sorting and indexing digital ephemera like voice notes and screenshots with AI is a popular use for the technology. Google offers Pixel Screenshots, and even Apple gave iOS and iPadOS the ability to automatically recognize events in images and add them to your calendar. Essential Space might be less unique now, but the fact that Nothing continues to update it bodes well for its future.
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Nothing’s new Essential Space update is available starting today on “all 2025–2026 Nothing and CMF phones that support Essential Key,” the company says. Essential Space should automatically update, but you also manually update the app in the Google Play Store.
TechEx North America will take place on May 18–19, 2026, at the San Jose McEnery Convention Center, bringing together seven co-located enterprise technology events under one roof to tackle the real questions enterprise leaders are asking right now.
This leading enterprise technology showcase will help CIOs, CTOs, IT Directors, enterprise architects, and IT leaders understand what’s changing, what matters and what to prioritise within the technology ecosystem.
TechEx North America Conference Agenda
TechEx North America will deliver a comprehensive agenda, with two days of technical discussion and industry collaboration across AI and Big Data, Cyber Security and Cloud, IoT, Digital Transformation, Intelligent Automation, Edge Computing, and Data Center.
View the agenda-at-a-glance, featuring all of the co-located stages from across TechEx:
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Commenting on the agenda, Michael Hughes, Head of Conference at TechEx Events, said:
“This year’s TechEx North America agenda reflects the conversations enterprise leaders urgently need to have. I am particularly excited about our new Physical AI track, which addresses the pivotal moment where AI moves beyond models and dashboards into operational environments”
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The new Physical AI track explores how AI integrates with robotics, edge devices, digital twins, industrial systems, and autonomous infrastructure. As AI moves beyond models and dashboards into operational environments, the challenge shifts from experimentation to orchestration.
Industry Leading Speakers
The conference program features C-suite and senior executives sharing proven approaches to delivering measurable impact in a digital-first world.
Secure your place today & hear from:
Franziska Bell, Chief Data, AI and Analytics Officer, Ford Motor Company
Kevin Shin, CISO, Samsung
Tina Tsou, Director of Global Tech Operations, TikTok
Mohit Goenka, Director of Engineering, Yahoo
Ricardo Lafosse, CISO, The Kraft Heinz Company
Peter Zhou, Director of AI & Data Science, Walgreens
Anthony Puleo, Director, Data Science & AI, AstraZeneca
Denny Scheider, Head of Global Strategy, Cure
Naresh Dulam, Senior VP of Software Engineering, JP Morgan
Sean Farney, Vice President, Data Center Strategy, JLL
Andy Dickey, Head of Americas & Asia – Pacific – HP Construction Services, BP
Abraham Jun Zou, Vice President & Sr. Principal Engineer, Mastercard
Claire Inan, P.E, Water Program Manager, Meta
Will Hankla CSCP, Vice President of Transformation, The Hershey Company
Tony Ambrozie, Chief Digital & Technology Officer, CVS Health
Kevin Clark, VP, Head of Industrial Strategy, Siemens
Shilen Jhaveri, Program Manager – AI & Infrastructure, Google
Technology Providers and Infrastructure Solutions on the Expo Floor
Alongside the conference program, the exhibition floor will feature 250+ companies developing technologies used across the enterprise technology spectrum.
Participating organizations include IBM, HP, Deloitte, SS&C Blue Prism, Quality Professionals, Lenovo, SAP, Mindsdb, Rhino Federated Computing, Red Hat and more.
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New for 2026: Meetup Program and Learning Hub
The 2026 event will introduce additional networking and learning formats alongside the core conference program.
The Meetup Program will offer structured peer-to-peer discussions focused on topics including AI, IoT, Cybersecurity, Data Center, Digital Transformation, and more.
The Learning Hub will host expert-led workshops and masterclasses covering technical and operational topics relevant to technology professionals.
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What makes this event different
7 co-located expos under one roof
Enterprise-first content
Strategic + technical tracks
Cross-industry networking
Free passes available + Gold upgrade for full access
The strength of TechEx lies in the depth of its program and the calibre of its audience. CIOs sit alongside Chief Architects. Heads of Data collaborate with Infrastructure Leads. Strategy conversations connect directly to engineering realities.
If you’re responsible for enterprise technology strategy, architecture, security, or operational delivery – this is where those conversations are happening.
TechEx Events produces global technology conferences and exhibitions covering artificial intelligence, big data, cybersecurity, IoT, digital transformation, and data center infrastructure. Events take place across North America and Europe, bringing together enterprise technology leaders, solution providers, and industry experts.
Known as Zombie ZIP, the method hides malware inside a deliberately malformed compressed archive. According to its creators, most antivirus engines currently fail to detect the threat, potentially giving attackers a new delivery mechanism. At the same time, some researchers argue the technique is less a vulnerability and more a… Read Entire Article Source link
