For more than a decade, Silicon Valley’s technology investors and entrepreneurs obsessed over social media and mobile apps that helped people do things like find new friends, fetch a ride home or crowdsource a review of a product or a movie.
There has been a great deal of talk about the use of Artificial Intelligence chatbots in the last few weeks, especially given the news that Facebook are looking to implement AI into their Messenger and WhatsApp platforms, which are currently used by more than 1.8 billion people worldwide. However, does this bode well for the relationship between humans and Artificial Intelligence programs? Would you rather speak to an intelligent algorithm rather than a fellow human being?
So the UK has just given itself a national headache. Whether you think the Brexit was the right decision or a dangerous and unmitigated botched up excercise, the consequences of the referendum will be non-trivial and take years to complete.
Data’s impact on enterprise is gathering intense momentum. Key trends in enterprise data science for this year include a focus on the Internet-of-Things (IoT), highly improved cognitive solutions and the rise of insight-driven organizations. With such growth in potential uses, sources and types of data, enterprises of all sizes are now facing increasing complexity when it comes to collection, management and insight-analysis. Increased complexity, in turn, makes for new challenges for decision-makers and data scientists.