Bringing AI back to earth New Money Review podcast

Excitement over the prospects for artificial intelligence (AI) has driven US stock market valuations to a historic high. Can AI technologies deliver on their promise? Or is this yet another case of irrational exuberance?In the latest New Money Review podcast I am joined by Eric Siegel, a former Columbia University professor who has taught computer science courses in machine learning and AI. Siegel, now a consultant, has just published a new book called “The AI Playbook—Mastering the Rare Art of Machine Learning Deployment”.In the podcast, we explore some of the paradoxes surrounding AI: why this tech tool with apparently unlimited greatest promise may be the hardest to use, and why computers promising us greater autonomy may in fact require more supervision.We cover:* What is artificial intelligence (AI) and what is machine learning (ML)?* What is generative AI?* What explains the current AI hype?* How predictive analytics can improve organisations’ performance* Examples of successful machine learning in practice: UPS and credit scoring* Why do so many ML projects fail to reach deployment?* Why artificial general intelligence (AGI) is “the most compelling ghost story ever”* Why computers that seem more human-like may give us less autonomy* What goals can ChatGPT reach and where does it fall short?* Why AI hype may be costly