Vin Vashishta and Tiffany Perkins-Munn delve into monetizing data and AI, emphasizing aligning initiatives with core business objectives, quick wins, and balancing short-term fixes with long-term vision. They discuss strategies for selling data sets, subscription services, and empowering employees at all levels, highlighting the importance of transparent AI models for trust and seamless integration into various fields.

Vin Vashishta, author of 'From Data To Profit' and founder of V-Squared, discusses the AI hype, the impact of AI on job roles, the importance of intuition in coding, potential dangers of AI models in marketplaces, and the need for continuous education in data science and AI.

Vin Vashishta, an expert in data science and AI, shares insights on collaboration, strategy, and maximizing data potential. They discuss the importance of technical strategists, deep understanding of data by product managers, and the opportunities in the generative AI era. They also explore mindset shifts to become multipliers, monetization of data and AI products, and the significance of leadership and strategy.

Dr. Barb Wixom, Vin Vashishta, and Asha Saxena discuss their must-read data and analytics books. Topics include organizational leaders, creating value from data, value-based approach, driving culture change, Women Leaders in Data and AI, deploying AI, ethical use of AI, and a case study on leveraging AI in an animal shelter.

Vin Vashishta discusses AI strategy for monetization, low-code/no-code in data science, top gap skills, socially beneficial ML apps, challenging data science problems, and data sets for consumer insights.