

The AI in Business Podcast
Daniel Faggella
The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI.
Each week, Emerj AI Research CEO Daniel Faggella and team interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption.
Visit our advertising page to learn more about reaching our executive audience of Fortune 2000 AI adopters: https://emerj.com/advertise
Each week, Emerj AI Research CEO Daniel Faggella and team interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption.
Visit our advertising page to learn more about reaching our executive audience of Fortune 2000 AI adopters: https://emerj.com/advertise
Episodes
Mentioned books

4 snips
Feb 5, 2024 • 38min
Creativity and Constraints: A Framework for Responsible Generative AI - with Sreekanth Menon of Genpact
Sreekanth Menon, VP and Global Leader of AI/ML Services at Genpact, discusses responsible AI practices and data governance policies. He emphasizes the importance of reliability, security, autonomy, accountability, and traceability in AI models. The podcast explores the use of prompts and structured approaches in generating AI models, and highlights the significance of responsible AI in highly regulated industries like finance and healthcare.

4 snips
Jan 30, 2024 • 19min
Driving Infrastructure Transformations for New Generative AI Use Cases - with Steve Astorino of IBM
Steve Astorino, Director of the Canada Lab and VP of Development in Data and AI at IBM, discusses the challenges and misconceptions in generative AI, addressing the skills gap in utilizing emerging technologies in enterprises, challenges and governance in enterprise data and models, and the intersection of data governance and AI ethics.

12 snips
Jan 23, 2024 • 23min
From Prescriptive to Conversational GenAI in Retail - with Michael Tambe of Amazon
Michael Tambe, Head of Data Science for Amazon Advertising Field Sales, discusses the limitations of prescriptive analytics in sales and the importance of generative AI in retail. He emphasizes the establishment of infrastructure for generative AI and the integration of physical and digital elements in the retail industry. The podcast also explores the challenges and uncertainties of conversational AI.

Jan 16, 2024 • 22min
The Short-Term and Long-Term Changes to the Insurance Industry with AI - with Haden Kirkpatrick of State Farm
Haden Kirkpatrick, VP of Innovation and VC at State Farm, discusses the use of AI in the insurance industry, gathering data from devices such as smart homes and wearables, the future impact of AI technology on insurance, providing transparency and customer satisfaction, and understanding short-term and long-term changes in technology

5 snips
Jan 15, 2024 • 31min
Scaling Generative AI in the Enterprise - with Harsh Kar of Genpact
Harsh Kar, an enterprise leader in data and AI at Genpact, discusses the challenges and opportunities of generative AI in organizations. He explains how previously siloed enterprise functions will work in concert and offers criteria for developing data governance practices for leveraging generative AI. The podcast also explores AI's impact on the insurance industry, partnerships in gathering data, upsell opportunities, large language models, and the changing customer-business relationship.

Jan 10, 2024 • 19min
Evolving Approaches to Competitor and Policy Fraud with AI - with Caitlin Hodges of Amazon
Caitlin Hodges, Risk Manager at Amazon, discusses reducing policy fraud in eCommerce. She shares insights on tools to fight competitor fraud, detecting AI-manufactured negative reviews, and the impact of abusive behaviors on sellers and platforms. The podcast also covers fraud during peak shopping events and the use of AI in addressing fraudulent behavior in online marketplaces.

Jan 9, 2024 • 13min
The Hard ROI in Autonomous Logistics - with Tomas Ohlson of Einride
Tomas Ohlson, Founding Engineer at Einride, discusses how electric and autonomous vehicles are streamlining logistics workflows and providing cost reductions. They explore the best places for human judgment in supervising supply chains and the role of data optimization and machine learning. The chapter on the autonomy spectrum in freight workflows highlights the need for human supervision and problem-solving for efficient operation.

Jan 3, 2024 • 20min
Leveling-Up Field Service Operations with AI - with Easwaran Krishnamurthy of Johnson Controls
Easwaran Krishnamurthy, VP & CIO of Building Solutions at Johnson Controls, discusses implementing AI in field service operations, improving data infrastructure, challenges in field service operations, enhancing service delivery with AI, leveraging the entire product lifecycle for revenue generation, and translating physical workflows into data.

Jan 2, 2024 • 17min
Driving Patient Access and Decreasing Tech Debt in Healthcare with AI - with Aaron Chamberlain of Intermountain Health
Aaron Chamberlain, Senior Medical Director of the Musculoskeletal Clinical Program at Intermountain Health, discusses the challenges facing healthcare leaders and the role of AI in reducing administrative tasks. They explore patient access and navigation with AI, addressing tech debt, and strategies for implementing innovative technologies while adhering to regulatory compliance.

Dec 26, 2023 • 23min
Building Trust in Data Science in Life Sciences - with Bikalpa Neupane of Takeda
Bikalpa Neupane, Head of AI and NLP at Takeda, discusses the challenges of siloed data and trust in data science processes in life sciences. Topics include enabling data science in healthcare, centralizing and integrating healthcare data, the importance of trust in drug discovery, and exploring generative AI models in research.