Artificial intelligence success is tied to ability to augment, not just automate
Stanford's latest release of its ongoing 'One-Hundred-Year Study on Artificial Intelligence' urges a greater blending of human and machine skills.
Stanford's latest release of its ongoing 'One-Hundred-Year Study on Artificial Intelligence' urges a greater blending of human and machine skills.
IT pros, please take 10-15 minutes to add your voice to this important project.
Smart AI doesn't happen in a vacuum. It requires smart people with access to computing power.
'We as humans were not built to go and look through 1.5 million lines of code and understand what business functions are buried in there.'
Is there a way for IT leaders to be proactive about AI and machine learning without ruffling and rattling an organization of people who want the miracles of AI and ML delivered tomorrow morning? The answer is yes.
Stanford releases its latest AI statistics compilation, showing how the technology and associated opportunities fared through the turmoil of the past year.
"It's unlikely that you'd trust a 'citizen architect' to build your home in the same way that you wouldn't visit a 'citizen doctor' when you get sick."
AI teams not only need to have cutting-edge skillsets to build, test and refine AI models and applications, but they also need to step up as transformational leaders, a new study finds.
Two in five companies see lack of technical expertise as a roadblock to AI. It couldn't come at a worse time.