At CES 2026, Everything Is AI. Integrated chatbots and built-in machine intelligence are no longer standout features in consumer tech. If companies want to win in the AI era, they've got to hone the user experience. The New Year's Eve champagne isn't even warm yet, and CES week is already upon us. The giant annual celebration of consumer tech kicks off the first full week of January as companies across the world convene in Las Vegas to hawk their latest innovations.

From the adversity of almost two years of pedal-to-the-metal crisis-response, rose immense investment in business transformation and technologies across all industries. After such rapid transformation, enterprise leaders might be forgiven for wanting to take a pit stop. But this is no time to slow down. With soaring employee expectations, and competition to digitally innovate, transformation in 2022 will continue apace. Trend 1 – Enterprise technology will be forced to'level-up' and meet consumer tech standards Increasingly, workplace technology seems to be playing a losing game of catchup with the consumer devices and apps we use in our everyday lives.

"Alexa" was just another female name. Uber hadn't taken anyone for a ride yet. And the buzz around Facebook had more to do with the fact that seemingly everyone you once knew was turning up on "The Social Network," and less about the numerous data and privacy scandals that would tarnish the company's reputation later on. The year was 2010, the dawn of a new decade. And while 10 years is a long time for most every industry, in consumer tech it might as well be a lifetime.

It's been over a month since our last major artificial intelligence consensus (which covered 33 AI researcher perspectives on the 20-year risks of AI), and we decided that this time around, we'd speak with AI executives directly about the future of artificial intelligence and machine learning in consumer tech. The media is awash with buzz-stories about autonomous vehicles, speech recognition, robotics, and more, but it seems difficult to glean a perspective on which consumer AI tech trends are likely to make the biggest impact in the coming 5 years. While there's certainly no crystal ball, our preference as a market research firm is to combine research and news analysis with a strong consensus from dozens of experts in the field. When it comes to AI for consumer tech, we decided to ask executives and founders of artificial intelligence companies what they believe to be the most important AI consumer tech trends in the next half decade. You can see a full list of the answers to our "AI Consumer Tech Trends" below in our large infographic.

The world's biggest tech manufacturers are currently taking the stage at IFA 2019 in Berlin, Germany. The event is billed as Europe's largest consumer tech show where consumer tech meets innovation. But in a digital world where the lines between B2B and B2C are becoming increasingly blurry, there are a few critical lessons for businesses from all industries too. On the surface, IFA is simply a platform for 1,939 of the world's leading tech brands and manufacturers to showcase their latest innovations, products, or services across 163,900 square meters. Sure, many of these products will appear on wish lists and dominate headlines around Black Friday, Cyber Monday and the impending holiday season. But, if you zoom out from that, there is a message for every CEO.

The piece describes an A.I. research program whose accuracy matched or slightly surpassed human physicians in diagnosing common childhood diseases like influenza. The software was trained on the medical histories, lab tests and other clinical data in more than 600,000 electronic health records of children in southern China. It was an encouraging demonstration. But the experimental system relied on the easy access to personal data in China, where privacy regulations are less restrictive, and was confined to diagnosing common ailments. That step-by-step approach is the counsel for business in a new book by Thomas Davenport, "The AI Advantage: How to Put the Artificial Intelligence Revolution to Work" (MIT Press).

It's been over a month since our last major artificial intelligence consensus (which covered 33 AI researcher perspectives on the 20-year risks of AI), and we decided that this time around, we'd speak with AI executives directly about the future of artificial intelligence and machine learning in consumer tech. The media is awash with buzz-stories about autonomous vehicles, speech recognition, robotics, and more, but it seems difficult to glean a perspective on which consumer AI tech trends are likely to make the biggest impact in the coming 5 years. While there's certainly no crystal ball, our preference as a market research firm is to combine research and news analysis with a strong consensus from dozens of experts in the field. When it comes to AI for consumer tech, we decided to ask executives and founders of artificial intelligence companies what they believe to be the most important AI consumer tech trends in the next half decade. You can see a full list of the answers to our "AI Consumer Tech Trends" below in our large infographic.

A scarf designed to filter out harmful elements in city air. A breast pump that fits into a bra and keeps track of pumping volume. A drone that can dive into water and help anglers catch a big one. CES 2017, the consumer tech event held in Las Vegas this week, featured vendors with automated baubles, humanoid robots and "smart" everything -- a dishwasher, hairbrush and lawnmower, to name a few. But it's not so much the gadgets as their underlying technology that will make CIOs -- who seek out new tools for business, not the home or yard -- stop, look and listen.

Imagine if you had a rare, undiagnosed disease that's stumped doctor after doctor. What if there were a single, secure database that could read your symptoms then run through thousands of clinical studies, similar patient records, and medical textbooks to present a risk-matched list of potential diseases? Just one year after its launch, IBM Watson Health is already starting to make this seemingly impossible task a reality, thanks to its powerful cognitive computing platform and a wide-reaching partnership strategy. Watson's vision is to enable better care by surfacing insights from the massive amounts of personal and academic health data that's being generated every day, but IBM ibm needs partners within the medical, pharmaceutical, and hospital fields to make that relevant to on-the-ground practitioners. It's institutions and companies like the Mayo Clinic, CVS Health cvs, and Memorial Sloan Kettering Cancer Center that are adapting the innovative new technology to real-life applications.