Three industry experts, including Barr Moses, CEO of Monte Carlo Data, discuss scaling data quality for generative AI. They explore challenges, best practices, and governance in the age of AI. Topics include AI roles, organizational transformation, evolving AI skills, storytelling in AI, prompt engineering, and navigating the AI job market.

Experts from Lockheed Martin, Dropbox, and the US Department of State discuss the importance of AI training for workforce empowerment and democratizing learning. They also explore the success of AI programs in embassies, internal training for data-related job codes, and building successful AI training programs within organizations. The conversation highlights the significance of engaging employees through various learning modalities.

Guest Shuang Li, Group Product Manager at Box, discusses challenges of building a data platform like ingestion pipelines, data quality, and democratization. They explore career transitions, data observability, developer experience, and future trends in data engineering.

Robb Wilson, Co-Founder & CEO at Onereach.ai, discusses designing AI applications beyond chat interfaces, the importance of human oversight in workflow automation, and strategies for scaling chatbots and architectural planning. The podcast explores continuous learning post-launch, cognitive architectures in AI, and the impact of AI on business strategies and decision-making.

Explore how Tesco leverages data and AI in their loyalty program with Director of Analytics and Science, Venkat Raghavan. Learn about personalized services, enhancing customer experience, and improving retail pricing strategies through data science. Discover the importance of collaboration between data teams and the challenges of conducting data science at scale in a large organization like Tesco.

Guest Denis Yarats discusses Perplexity AI's AI-powered search engine, competition in the AI space, building genAI products, the future of AI and search, open-source vs closed-source AI, and the role of UI/UX in AI product development.

Spatial computing experts Cathy Hackl and Irena Cronin discuss the practicality and ROI of adopting this technology. They cover its benefits for productivity, data visualization, and streamlining operations. Topics include integrating spatial computing into current systems, enhancing efficiency, and delivering measurable benefits. The conversation explores real-world applications in industries like manufacturing, education, and FinTech, emphasizing the overlay of a data layer on the physical world for improved efficiency.

Kim Stachenfeld, Senior Research Scientist at Google DeepMind, discusses the intersection of AI and memory, the importance of flexibility in AI models, retrieval databases, AI-driven science, and augmenting human capabilities with AI. They explore how AI can help crack the code on memory, the parallels between episodic memory in the brain and AI, the evolution of cognition in humans and large neural networks, and the overlap between brain research and AI in tackling common computational problems.

Prukalpa Sankar, Co-Founder of Atlan, discusses building trust through data, revolutionizing data discovery with data catalogs, understanding data lineage complexity, balancing value and complexity in data analysis projects, reimagining data governance as data enablement, and advancing data governance in compliance-driven industries.

Cristina Alaimo, Assistant Professor at Luiss Guido Carli University, explores the history of data, its impact on organizations, paradigm shifts, and societal structures. The discussion covers the evolution of data from ancient times to the digital era, dataification, online advertising, data ecosystems, and economic institutions in the age of AI.