How Companies Like Amazon and Google Turn Data into a Competitive Advantage - and How You Can Too


Everyone knows the answer: Data. All of these companies have managed to leverage the vast amounts of information they get from their multitude of users - whether it be their search habits, the posts they share, the products they buy, or the music they listen to - into major revenue streams. It's not just the fact that these companies have been able to gather data on millions (or billions, in the case of some of these companies); it's that those companies have managed to effectively utilize that data to better understand and market to their users. All of these companies are using artificial intelligence (or, more accurately, deep learning) to do this. Of course, it's important to note that you don't have to be a dominating enterprise like Amazon or Google to turn data into a competitive advantage.

How IBM Plans to Help Users Out-Learn the Competition


LAS VEGAS – IBM's Think 2018 conference, the first-of-its-kind rollup of five older conferences--IBM World of Watson, InterConnect, Edge, Amplify and Connect--has attracted more than 35,000 people representing most of the countries in the world to the Mandalay Bay Conference Center this week. "This is officially the largest event in IBM's history!" Ginny Rometty (pictured, with Dave McKay of Royal Canadian Bank), who holds the gold trifecta titles of CEO, chairman and president of the most venerable IT company on the globe, said March 20 in her opening remarks. While it's true that all the other topics that bring people together at a major show like this include security, networking, servers, processors, cloud services, automation, software development and many more, at the core of it all remains one simple entity: Watson, the IBM stake in the ground of artificial intelligence, machine learning and deep learning. Make no mistake about it: IBM is into a lot of business use cases, but it's now made Watson its beating heart, impacting virtually all parts of its business. 'Be the Disruptor, Rather than the Disrupted' Rometty captured well the theme of the conference in her first few sentences on stage.

European Robotics League winners revealed at #ERF2018


Award winners in robot competitions held by the were named on 14 March 2018, during this year's European Robotics Forum (ERF), held in Tampere, Finland on 13–15 March. Awards for the ERL's 2017-18 season were presented at a Gala Dinner to winning teams that took part in all ERL competitions: Service Robots (ERL-SR), Industry Robots (ERL-IR) and Emergency Robots (ERL-ER). ERL-SR is for robots that could provide assistance in homes, particularly for people with reduced mobility. ERL-ER is for robots in simulated emergency situations and ERL-IR tackles automation in industry. Dozens of teams from around Europe took part in the 2017–18 ERL competitions, which stimulate innovation by and collaboration among robotics researchers by setting tasks in simulated real-life conditions, for completion against the clock.

AI Behind the Scenes Hero for FinTech Vinod Sharma's Blog


Financial payments and banking started in a very inefficient and traditional way, which was slow but still acceptable to the customers due to the stage in the information age. FinTech is now changing the whole game. In my personal opinion and hand on experience FinTech was, is and will remain Blue Ocean player where its all about collaboration, partnership and synergies. Competition is red ocean game. So I say FinTech is the Blue Ocean Strategy player.

XPRIZE's $10 Million Telepresence Robot Challenge Is Not Challenging Enough

IEEE Spectrum Robotics Channel

At the South by Southwest festival last week, XPRIZE announced the launch of the $10 million ANA Avatar XPRIZE, "a four-year global competition to develop real-life avatars." The idea is to bring together many different kinds of remote robotic technologies to create an easy to use, effective, and immersive remote experience. Challenges like these have proved very effective in the past--DARPA in particular has sponsored massive advances in both self-driving cars and humanoid robots. Part of the reason that DARPA was able to do this is by carefully asking for what is almost, but not quite, impossible. Or what former DARPA program manager Gill Pratt used to call "DARPA hard."

Machines are coming for your March Madness office pool


March Madness--the NCAA college basketball championship playoffs--is among the most popular sporting events in the US, thanks in part to the wide-ranging contest that has evolved around predicting which teams will progress through the tournament. This year, almost $10.4 million is on the line in office pools or more organized competitions, and more than 40 million Americans will fill out their own versions of the playoff brackets to take part, according to the American Gaming Association. The chances of predicting a perfect bracket, which no one has ever done, are at least 1 in 128 billion and could be as remote as 1 in 9.2 quintillion. Now machine learning is taking a shot. Kaggle, the online platform for predictive modeling and analytics competitions that was acquired by Google parent company Alphabet last year, is hosting a competition for both the NCAA men's and women's tournaments.

Is Your Company Ready For AI? Ask Yourself These Nine Questions


With more and more artificial intelligence (AI) solutions emerging each year, it's safe to say that this technology is here to stay. Statista predicts that the global AI market will be worth more than $10.5 billion by 2020, and forward-thinking businesses continue to incorporate AI into their everyday operations in the form of automation and customer service chatbots. If your business hasn't yet jumped on the AI bandwagon, you might be wondering what you're missing -- and whether you really need to find out. While it's true that many businesses have found worthwhile use cases for this technology, it may not necessarily be the right time for your company to explore AI. According to Forbes Technology Council members, here are nine questions to determine if artificial intelligence is a smart investment for your business right now.

Machine Learning Madness: Predicting Every NCAA Tournament Matchup


March Madness is here, that means it's time to fill out your brackets and promptly be disappointed when it's inevitably busted for all your friends and family to see. The NCAA Division I Men's Basketball Tournament is one of the most exciting sporting events of the year thanks to the upsets, cinderellas, and unpredictability that come with it. Millions of basketball fans and non-basketball fans alike grab their virtual sharpies every March to participate in this phenomenon with hopes of achieving an improbable perfect bracket. Given you know a little about basketball, professors put your odds conservatively at 1 in 128 billion. Thanks to my upbringing and an excess of Sportscenter growing up, I've been an avid college basketball fan for as long as I can remember.

5 Ways AI Makes Hiring Easier - TalentCulture


As an HR tech analyst, author and brand strategist, Meghan is sought after for her ideas about the future of work, is a regularly featured speaker at global business conferences, and serves on boards for leading HR and technology brands.