Artificial Intelligence is transforming the entire world of technology, but AI isn’t new. It has been around for decades, but AI technologies are only making headway now due to the proliferation of data and the investments being made in storage, compute and analytics technologies. Much of this progress is due to the ability of learning algorithms to spot patterns in larger and larger amounts of data. In this insideBIGDATA Guide to Artificial Intelligence, we provide an in depth look at AI and deep learning in terms of how it’s being used and what technological advances have made it possible.
Artificial Intelligence is an amazing tool set that is helping people create exciting applications and creating new ways to service customers, cure diseases, prevent security threats, and much more. Rapid progress continues to unlock more and more opportunities for enterprises and scientific research where AI can make a big impact. Many believe that the real world potential for AI is highly promising.
Speaking at a 2016 AI conference in London, Microsoft’s Chief Envisioning Officer, Dave Coplin observed “This technology will change how we relate to technology. It will change how we relate to each other. I would argue that it will even change how we perceive what it means to be human.” Apparently, the best is still to come.
This guide to artificial intelligence explains the difference between AI, machine learning and deep learning, and examine the intersection of AI and HPC. The guide includes a special section highlighting the results of a new insideBIGDATA audience survey to get readers thoughts about how they see AI, machine learning and deep learning for their own companies. The guide provides some of the survey results including numeric results, data visualization, and interpretation of the results. To learn more about AI and deep learning download this guide.