We hear the term “machine learning” a lot these days (usually in the context of predictive analysis and artificial intelligence), but machine learning has actually been a field of its own for several decades. Only recently have we been able to really take advantage of machine learning on a broad

From Jeopardy winners and Go masters to infamous advertising-related racial profiling, it would seem we have entered an era in which artificial intelligence developments are rapidly accelerating. But a fully sentient being whose electronic “brain” can fully engage in complex cognitive tasks using fair moral judgement remains, for now, beyond

Ajit Jaokar is a leading expert working at the intersection of Data Science, IoT, AI, Machine Learning, Big Data, Mobile, and Smart Cities. He teaches IoT and Data Science at Oxford and also is a director of Smart Cities Lab in Madrid. Ajit’s work involves applying machine learning techniques to

From Decentralized Model Exchanges to Model Audit Trails [This is based on a talk I first gave on Nov 7, 2016. Here are the slides.] In recent years, AI (artificial intelligence) researchers have finally cracked problems that they’ve worked on for decades, from Go to human-level speech recognition. A key

You may not see it, but it’s there. Artificial intelligence, that is. It’s beating us at our most complicated games, helping curate the news we read every day, ever improving our search results, driving our cars, and on and on and on. We’ve entered into what some experts are calling

  Nicolas Boudot is the EMEA Director at Softbank Robotics, where he has been responsible for partnerships and for promoting the use of humanoid robots in the B2B, educational and consumer markets, since 2001, when Aldebaran Robotics, the makers of Nao humanoid robots, was acquired by Softbank Mobile. He has

There is general agreement that language is the key to AI, but who holds the key to language – algorithms or people? According to the hype, the key to automated natural language understanding lies in vast data collections containing millions of words coupled with machine learning algorithms. If you believe

Last chance to buy tickets! Go to datanatives.io and register, and get instant access to speaker and schedule information on Data Natives Berlin 2016. 5 days away from the conference, we have arrived at the fifth and last of the Reasons to Attend Data Natives – After Building A Strong

The professional service industry—any third-party consultancy or support service that helps businesses operate better–is massive. The professional services industry makes up about 2 percent of the global economy. However this market is changing rapidly. The rise of Artificial Intelligence (AI) and automation mean that professional service businesses don’t only have

Artificial intelligence (AI) has been around for decades, but only recently has it begun to emerge as a viable field with massive commercial opportunity. Why now? The proliferation of data. Data is the fuel that feeds AI and is opening opportunities that we can only have imagined until now. And,