Harvard Business Review
JANUARY 15, 2024
Given that the 2023 survey was fielded just before ChatGPT was announced, generative AI seems the likely cause of the leap in positive responses around culture. To take advantage of this, companies need to invest in experimentation, production deployment, and education.
Jeffrey Phillips
MAY 23, 2023
First is artificial intelligence, ML and ChatGPT and all of the new technology that will make people obsolete. We are gaining exponential benefits from previous investments in innovation, going up a learning curve. There are some other factors to consider that make this time period different, however.
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Christensen Institute
JANUARY 11, 2024
2023 was a landmark year for AI, with tools like ChatGPT, Midjourney, and Character.AI Or SchoolJoy helping teachers and students curate highly personalized learning journeys. Then watch as lockstep learning and lectures become obsolete. offering radical new ways to interact with technology.
Christensen Institute
JANUARY 4, 2024
Innovations making career-connected learning more student- (versus employer-) centric. With that in mind, I’ll be watching innovations that put students at the center of career-connected learning. Most career-connected learning models are over-indexed on employer demand and under-indexed on students’ needs.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. January 18th, 2023 at 9:30am PST, 12:30pm EST, 5:30pm GMT
Thinkers360 - Thought Leader Interviews
MARCH 18, 2023
Tom is featured in Thinkers360’s annual Leaderboards Top 50 Global Thought Leaders and Influencers on Internet of Things 2023 , Top 50 Global Thought Leaders and Influencers on Supply Chain 2023 , and Top 50 Global Thought Leaders and Influencers on Climate Change 2022 , among others.
Linda Bernardi
MAY 16, 2023
Clearly, this can be a bit alarming, if one assumes there will be an immediate replacement of human-music-talent with computers, algorithms, and machine learning.
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