We've seen continued focus on cognitive, or artificial intelligence (AI) technologies from some of the larger tech companies in the world. This wave of technology is truly revolutionary, but it can be a bit confusing. With new definitions popping up like a frenetic game of buzzword bingo, I prefer this simple explanation used by New York Times reporter Quentin Hardy:
"Cloaked inside terms like deep learning and machine intelligence, AI is essentially a series of advanced statistics-based exercises that review the past to indicate the likely future."
As I've said before, I think everyone should be taking on an AI project. As you're working on your plans, here are six tips for understanding this space and narrowing your priorities.
These six tips can help guide you toward focusing on data that reveals a likely future. But to start showing both artificial and practical intelligence, you'll want to involve the right people.
Learn how we automate data processes with artificial intelligence.