#212 The History of Data and AI, and Where It...

As agents take over more of the actual coding, the nature of technical work is shifting from producing software to judging it. Engineers increasingly spend their time specifying what should be built and then checking whether an agent's output actually solved the problem, rather t ...  Show more

Hypergrowth companies rarely scale on strategy alone — they scale on how fast decisions get made and how much risk employees feel safe taking. A recurring idea in high-growth environments is treating decisions differently depending on whether they're reversible, and rewarding peo ...  Show more

Welcome to an interview with the coauthor of Data Rules: Reinventing the Market Economy (Acting with Technology), Cristina Alaimo. In Data Rules, Cristina Alaimo and Jannis Kallinikos establish a social science framework for analyzing the unprecedented social and economic restruc ...  Show more

Welcome to Strategy Skills episode 449, featuring an interview with the coauthor of Data Rules: Reinventing the Market Economy (Acting with Technology), Cristina Alaimo. In Data Rules, Cristina Alaimo and Jannis Kallinikos establish a social science ...

At Columbia University, data scientist Chris Wiggins and historian Matthew Jones teach a course called Data: Past, Present and Future. Out of this collaboration has come a book, How Data Happened: A History from the Age of Reason to the Age of Algorithms, to be published on Tuesd ...  Show more

Rama Akkiraju joins us to discuss the past, present, and future of AI services and how companies and data scientists can best prepare themselves to become AI consumers. In this episode you will learn: 23 years at IBM, before and after data science [6:11] IBM Watson and AI serv ...  Show more