Autonomy is quickly becoming the driving force of the automobile industry. Leading autonomous car makers – GM, Waymo, Tesla, Ford, etc. – are all aggressively improving the infrastructure necessary for autonomy. As there are multiple autonomous vehicle technologies at play, a hot discussion is going on in the market about which one is better – vision based (camera) or sensors based (LiDAR, radar, and ultrasonic).Currently, pretty much all active players in the market, with the exception of Tesla, are moving forth with LiDAR. Tesla, on the other hand, is bettingSEE DETAILS
Moneyball was an eye-opener.Today, it is a widely popular theory. But unfortunately, widely misunderstood too.Most people watch the movie or read the book and say, “Wow, we should use more of this analytics to solve our business problems”. And that’s where they are wrong.Moneyball theory isn’t about the importance of using analytics. It is about how you use it.Analytics was being used in baseball for decades. What Billy Beane’s Oakland Athletics did differently in the 2002 season was that they went against the collective wisdom of baseball scouts and analytics,SEE DETAILS
At this point, most of us tech people know we need some data science & machine learning skills in order to survive and thrive. But with so much buzz around these technologies, it is easy to lose track of what’s really important.I see a lot of people running after the hype, trying to acquire lots of me-too skills without due diligence. As a result, the mismatch between acquired and required skills continues to grow.Amid this overwhelming mess, knowing what trends are currently shaping the data science and machine learning landscapeSEE DETAILS
Around the world, across the industries, C-suite executives are concerned about the widening digital talent gap in their organization.AI, big data, cryptocurrency, cyber-security – with so many technologies creating buzz at once, it is becoming increasingly difficult for organizations to determine which skill set they need to invest in.Here are top 10 essential digital skills that you must have on-board to succeed in 2019, whether you are an organization aiming at transformation or a service provider delivering next-gen services to clients.Data AnalysisWith today’s advanced analytics tools, companies now have theSEE DETAILS <span class="mo...
Recent advances in computer vision are rapidly taking us towards a future we have long imagined.A future where you don’t have to feed in or tell computers anything for a range of simple tasks – domestic and industrial. Computers have a vision of their own and can automatically initiate the task you want them to do. [Ex: FaceID by Apple]Thanks to the advances in deep learning and abundance of visual data available today, computer vision market is one of the fastest growing innovative tech markets today – with a multitudeSEE DETAILS