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Ai Adoption
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AI expert and insitro CEO Daphne Koller shares her insights about developing the vision and strategy needed to optimize your enterprise AI deployments.
AI “eval” outfit Mercor is one of the fastest growing companies in history. But will their rocket run out of fuel? Big Think investigates.
AI has brought a reckoning to the consulting industry — and the death knell will quickly sound for those who fail to adapt.
8mins
“I've started to think about three puzzles we need to solve for as we bring these technologies into our organizations.”
Welcome to The Nightcrawler — a weekly newsletter from Eric Markowitz covering tech, innovation, and long-term thinking.
Jotform CEO Aytekin Tank highlights an AI-powered pathway towards more productive and more creative teams.
Welcome to The Nightcrawler — a weekly newsletter from Eric Markowitz covering tech, innovation, and long-term thinking.
A National Center for Data and Evidence could supplement our archaic and expensive system and more accurately measure AI's impact on jobs.
The Wharton School professor — and author of Co-Intelligence — outlines ways we can tap into the AI advantage safely and effectively.
Airbnb’s CBO, Dave Stephenson, joins Big Think for a chat about elite-team leadership, "founder mode," the Taylor Swift effect, and more.
In new business use cases where AI is the default, the potential results are phenomenal — but humans should play a key strategic role.
Nestor Maslej, research manager at the Stanford Institute for Human-Centered AI (HAI), talks us through key findings in the 2024 AI Index Report.
AI projects reveal both heroes and villains in your workforce — success depends on maximizing the number of heroes.
Generative AI is arriving fast — both overtly and covertly — and without solid L&D guidance leaders and teams will be hobbled, argues Matt Beane.
The mindless implementation of AI tools can come at a cost for our teams. Here are some red flags and solutions.
The technology is not a replacement for human labor — it's a way to complement existing human tasks.
Ethan Mollick, associate professor at the Wharton School, explains why we have to crack the machine-buddy problem.
It could lead to earlier diagnoses, better treatment, and fewer deaths from pancreatic cancer, which kills 88% of patients within five years.