Want to identify the best BI influencers out there? Given the explosion in ecommerce and digital transformation that we've seen over the last decade, it's no surprise that companies are now scrambling to make sense of the tsunami of data flowing in and out of their servers. Intelligent businesses need business intelligence (BI). BI, simply put, is the art of making value from that data for the business. The task of translating all of these data streams into actionable insights can be daunting for business leaders who are coming to terms with the scale of the task.

The world of data can be chaos! New technologies, tools, products and the ever-changing industry dynamics--there sure is a lot to keep up with. So, what do you do to cut through the noise? Well… one way is to follow the greatest in the world of data science and simply hang on to their every word. We created a list of people who are followed by the humans of data around the world, share their experiences and insights regularly on social media and are well connected to the community.

Editor's Note: This blog was originally posted on LinkedIn on July 3, 2017 I recently sat down with Bob Rogers. Bob is Intel's Chief Data Scientist for Analytics and AI. I sought out answers to the some of the most popular questions related to artificial and augmented intelligence. The entire interview was illuminating, and shed some light on aspects that many people wouldn't know about. So what is AI? Artificial intelligence is human-like intelligence that works in a similar way to our brains--though not quite, of course.

I recently sat down with Bob Rogers. Bob is Intel's Chief Data Scientist for Analytics and AI. I sought out answers to the some of the most popular questions related to artificial and augmented intelligence. The entire interview was illuminating, and shed some light on aspects that many people wouldn't know about. So what is AI? Artificial intelligence is human-like intelligence that works in a similar way to our brains--though not quite, of course.

You already know that machine learning is essentially a form of data analytics, but where did it come from and how has it evolved to become what it is today? In the past couple of decades, we have seen a rapid expansion and evolution of information technology. In 1995, data storage cost around 1000/GB; by 2014 that cost had plummeted to 0.03/GB (2). With access to larger and larger data sets, data scientists have made major advances in neural networks, which have led to better accuracy in modeling and analytics. As we mentioned earlier, the combination of data and analytics opens up unique opportunities for businesses.