I'd never really considered the myriad applications of artificial intelligence (AI) until I took my seat at the OLAY panel at Mobile World Congress in Barcelona. The subtle ways that AI is disrupting our lives are many and varied - and often in places you'd least expect. OLAY - and the broader beauty space - is one of these places. Do we all really understand what our skin needs? Here's where AI is really changing the game.

For robots to do what we want, they need to understand us. Too often, this means having to meet them halfway: teaching them the intricacies of human language, for example, or giving them explicit commands for very specific tasks. But what if we could develop robots that were a more natural extension of us and that could actually do whatever we are thinking? A team from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and Boston University is working on this problem, creating a feedback system that lets people correct robot mistakes instantly with nothing more than their brains. Using data from an electroencephalography (EEG) monitor that records brain activity, the system can detect if a person notices an error as a robot performs an object-sorting task.

Artificial Intelligence (AI) has been a hot topic in recently is shaping up to be a breakout year for AI. The 2017 Devfest DC {AI} is a must-attend event for people who are interested in the real-world applications of AI, whether you want to learn about AI's effects on businesses or are simply interested in how AI will reshape our day-to-day life. The event is focused on practical applications AI and its subsets Machine Learning and Deep Learning across industries such as Transportation & Logistics, Internet of Things (IoT), Future of Work (FoW), Financial Technologies (FinTech), CyberSecurity, and Healthcare Technologies (HealthTech). It also explores how Machine Learning is impacting society, the enterprise and you! The 2017 conference agenda will provide insights into the present and future impact of AI on your organization, as well as in your daily life.

Machine learning is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed. The science behind machine learning is interesting and application-oriented. Many startups have disrupted the FinTech ecosystem with machine learning as their key technology. There are various applications of machine learning used by the FinTech companies falling under different subcategories. Let us look at some of the applications of machine learning and companies using such applications.

All who have tried to get something like a conference off the ground knows how extremely difficult it can be. Getting everything right from the speakers to the venue is an extremely demanding process, not to mention attracting the right people. But here the day before Nordic.ai As a small teaser I took it upon myself to write a short teaser about a couple of the talks I am looking especially forward too. My favourite will of course be my very own brilliant colleague Lars Maaløe, who'll speak at 15.20, but to keep if from becoming to much of an advertisement I've focused on some of the many other gems you can look forward to tomorrow.

Is AI the shot in the arm that today's transformation efforts need? Mobile World Congress is like heaven for a tech enthusiast like myself. Every February, many of the world's most innovative companies gather to launch their latest and greatest gadgets -- tablets with 4K displays, futuristic wearable tech, and sleek smartphones thinner than a few quarters stacked together. But this year, the most important technology at the show won't be in a single stand at Barcelona's Fira Gran Via. It'll be in virtually all of them. Artificial intelligence (AI) has already become a common thread running through the mobile tech world.

See it in action--and saving money--in field service. Artificial intelligence (AI) has never felt like a human-friendly term. The very notion of intelligence that is artificial is a little, well … unsettling. Will machines ultimately replace us? As we gather at Mobile World Congress, in part to explore the ultimate reach of AI in an increasingly mobile business world, one thing is clear: AI and machine learning technologies won't replace humans in the enterprise, but they're going to change the game considerably.

It seems like every organization today is betting on artificial intelligence (AI). But what does that really mean? We asked those gathered at a recent AI conference to share their definition. Hear how--and why--they see things so differently.

Signpost is a service that lets brick-and-mortar store owners publish incentives and promotions on its website. Last summer, the New York City-based company's founder and CEO, Stuart Wall, created a new app: the A.I.-centric Mia. Through its natural language generation capability, Mia crafts messages and sends them to prospects at opportune times. It tracks and analyzes a store's calls, emails, and credit card swipes, and then makes what it decides is the right pitch. "New customers often tell me they show up because of our five-star reviews, which I hear about through Mia," says Randy Jewart, owner of Resolution Gardens, a landscaping company in Austin, and a Mia subscriber.

Astronomer Kevin Schawinski has spent much of his career studying how massive black holes shape galaxies. But he isn't into dirty work--dealing with messy data--so he decided to figure out how neural networks could do it for him. Problem is, he and his cosmic colleagues suck at that sophisticated kind of coding. That changed when another professor at Schawinski's institution, ETH Zurich, sent him an email and CCed Ce Zhang, who actually is a computer scientist. "You guys should talk," the email said.