CXOTalk: Data, AI, and Algorithms
Decision elasticity ... dispositive threshold … pangalactic data … ad hoc clouds.
While these are not likely part of your everyday vocabulary, they are some of the phrases bandied about by Dr. David Bray, Visiting Executive In-Residence at Harvard University, and Dr. Anthony Scriffignano, Chief Data Scientist for Dun & Bradstreet – which made perfect sense in the context of CXOTalk: Data, AI, and Algorithms.
These two gentlemen, leading experts in their fields (each with a knack for straightforward layman’s explanations), spend this session busting myths that surround AI and data, such as:
- The more data you accumulate, the better your business is going to be.
- The best thing to do is aggregate all your data together into a data lake so that it’s useful to everybody.
- Since cloud computing is going to take over, strongly driven by AI, it makes sense to store all of your data in the cloud.
- AI is fundamentally changing how you relate to the world and understand data.
- Machine learning, artificial intelligence, big data, and predictive analytics are basically all the same thing.
Always with informed suppositions, and at times twinkles in their eyes, Bray @chief_ventures and Scriffignano @Scriffignano1 dispel one myth after the next, shedding light on what’s real, likely, and possible. While the true value comes from taking in the full conversation, here are two quotes that stand out:
