AI is a tool to get things done. To use it properly and generate value, organizations need the right capabilities — including a good understanding of data.
An MIT Sloan professor dispels three common misconceptions about the future of artificial intelligence.
Accenture tech leaders detail new executive roles and new responsibilities AI is creating.
AI-enriched KPIs, known as smart KPIs, can better guide organizations toward key business goals.
Successful and ethical artificial intelligence programs take into account behind-the-scenes ‘repair work’ and ‘ghost workers.’
Data leaders are focusing on customer experience analytics, external data, and using data to meet equity and inclusion goals.
Nobel laureate Simon Johnson says that AI can be an equalizing force, but warns that new technology does not automatically benefit everyone.
On February 20, some of the world’s greatest minds will gather at MIT’s world renowned Media Lab for the 2016 MIT Tech Conference: The Rise of Artificial Intelligence.
Four reasons stakeholders don’t trust AI systems, and how companies can overcome them.
An AI productivity boom is coming. Here’s what managers need to know to roll out intelligent technology that’s ethical and worker-centric.
