Ari Kaplan and Robin Sutara from Databricks discuss the evolution of the platform from Spark to data intelligence, emphasizing the importance of diverse backgrounds in data roles and the integration of data with AI for meaningful insights. They explore generative AI, internal tool building, risk management, fine-grained access control in data sharing, and evolving roles in the data field.

Sports analytics expert Ari Kaplan joins Tim and Juan to discuss the emergence of data lakehouses, the evolution of data in sports, multi-touch attribution challenges, and the potential impact of generative AI on code generation. They also touch on the power of the data lakehouse in integrating structured and unstructured data for better predictions and insights.

Ari Kaplan, Head of Evangelism at Databricks, shares insights on the future of AI and data. Topics covered include analytics in Major League Baseball, Databricks' Lakehouse technology, the importance of continuous learning in AI and data science, and misconceptions about Gen AI.

Ari Kaplan, Head Evangelist of Databricks, discusses AI regulation, industry perspectives, transparency, ethical concerns, automation impact on employment, generative AI risks, and importance of diverse viewpoints in shaping effective legislation.

Caroline Hill, Editor of Legal IT Insider, and Ari Kaplan, Industry Analyst, discuss generative AI adoption in legal departments, challenges in demonstrating ROI, technology's impact on legal efficiency, competitiveness, and billable hours. They touch on CLOC, legal administrators, law firm tech labs, and aligning client expectations.