Andrea Haskell and Val Srinivas from Deloitte discuss the impact of generative AI on investment banking, including automating tasks like news analysis and M&A. They explore the implications on talent, risk management, and technology adoption, emphasizing the importance of control points for reliable output and the potential for augmented technologies to elevate workers' focus on higher-value work.

Jason Wells, CTO at Pattern, talks about integrating data science into dev team workflows, the importance of collaboration and continual development, data scientists' access and freedom in AI-enhanced development, and hiring passionate problem solvers.

Srihari Govindarajan, Senior Director of Finance Transformation at PayPal, discusses how PayPal approaches fraud and policy abuse using generative AI. The episode explores the end-to-end process of a transaction in eCommerce, challenges of international fraud prevention, and the practical impact of leveraging generative AI. It also emphasizes the significance of data quality, governance, bias, fairness, trust, and transparency in AI initiatives.

Dan Buckland, Medical Director of Duke University Health System and assistant professor at Duke University, discusses Duke University's unique approach to AI in healthcare, using tested and proven models. He emphasizes the importance of virtual care as a last resort and the role of technology in the patient experience. The podcast also explores generative AI for interoperability in healthcare IT systems and advancements in AI for patient communication.

Ramesh Durvasula, Senior VP of R&D IT at Lilly, discusses AI's impact on drug targeting. AI predicts potential drugs, drives clinical trials as alternative healthcare, and enhances the work of researchers. Generative AI invents new drugs and evaluates chemists' solutions. AI analyzes scientific journals, provides deeper insights, and prompts experimentation for uncertain futures. Caution is advised in enterprise-level AI adoption.

Marco Argenti, CIO at Goldman Sachs, discusses the importance of safe experimentation and caution in adopting AI in financial services. They explore the emerging abilities of AI in reasoning and workflow and highlight the potential of generative AI to solve complex problems in the industry.

In this episode, Tsavo Knott, Co-founder and CEO of Pieces, discusses how AI tools can streamline software developer workflows. Topics include making work histories accessible, bridging gaps between developers and stakeholders, the impact of design software on collaboration, and the benefits of resource capturing. The future of software development and AI-enhanced workflows is also explored.

Leonardo Lambert of Corti discusses the challenges caretakers face in decreasing friction in the patient experience, including administrative costs and best practices. He emphasizes the importance of the patient's initial contact with healthcare services. Additionally, topics covered include AI's role in addressing caregiver burnout, challenges and solutions in healthcare technology, fragmentation and virtual consultations, and enhancing efficiency and patient experience with AI.

DLA Piper Chief Data Scientist Bennett Borden and AI Practice Chair Danny Tobey discuss the use cases of large language models in the legal realm. They explore the benefits and drawbacks, the future of lawyers in an augmented AI world, and the impact on the legal profession in terms of democratizing the law.

Michael Tambe, Head of Data Science for Amazon Advertising Field Sales, discusses the challenges and possibilities of building a data-driven go-to-market engine in retail. They cover topics such as aligning sales and marketing, optimizing the sales force, creating a data-driven sales strategy, and the challenges and opportunities of building data-driven go-to-market systems.