The AI in Business Podcast

Pablo Vargas, Risk and Compliance Manager at FanDuel, discusses fraud risk management in the gaming industry, the balance between consumer privacy and data tracking, and the importance of analyzing fraud behavior from different perspectives. They also explore the challenges of data analysis within the gaming industry and its parallels with other sectors like insurance and e-commerce.

Fabrizio Burlando, Global Head of Advisors Consulting and Digital Labs at Mastercard, discusses the impact of generative AI in the financial services sector, exploring the differences between traditional and probabilistic AI systems. The use of aggregate data in fraud protection and unauthorized device access is also covered. The podcast highlights the opportunities and challenges of democratizing AI in the financial services industry, as well as the distinctions between first and second generation AI technologies.

John LeBaron, Chief Revenue Officer at Pattern, discusses challenges for brand and consumer product executives in the eCommerce sector. They explore AI adoption challenges, the impact of generative AI on advertising and content optimization, including pricing, assortment rationalization, content creation, and cross-functional integration.

Sean Moriarty, CEO of Primer, discusses the importance of trust and utility in AI systems for defense. He emphasizes involving end users and designing systems with the user in mind. They explore the challenges in achieving 100% accuracy and discuss potential capabilities of an AI system for defense.

Tom Pettit, Chief Operations and Supply Chain Officer at Xylem, discusses the challenges faced by B2B leaders in providing high-quality customer experiences. He explores data analysis to improve equipment uptime, revenue opportunities, and address industry skills crunch. Tom also talks about leveraging AI, machine learning, and augmented reality to assist technicians and optimize asset utilization.

Legal expert Anna Gressel discusses the impact of AI on legal workflows, including document processing and the skills law professionals should focus on. They explore the role of generative AI, ethical considerations in the legal profession, automation of legal processes, and the potential implications of AI on copyright issues and court decisions in the industry.

Ted Kwartler, Field CTO of Generative AI at DataRobot, discusses challenges in software development teams, including collaboration, cross-functionality, and retention strategies for data professionals. The podcast highlights the need for training non-technical executives, addressing tooling challenges in AI development, and creating a culture of integration. Overall, it offers actionable insights on handling pushback, assigning team members based on skills, and planning future initiatives

Matt Madrigal, VP and GM of Merchant Shopping at Google, discusses the challenges retail SMBs face in AI adoption. He highlights the need to address product imagery issues, create engaging digital experiences, and provide free insights. The importance of responsible AI and countering biases is emphasized, along with the workflow and flexibility of Google's product studio tool. Trends in generative AI, bespoke models, and commodification of capabilities are also discussed.

Edosa Odaro, Chief of Data Analytics and Privacy Officer at Tawuniya, discusses the concept of Value Driven Data and the challenges of digital transformations. He emphasizes the importance of aligning organizational objectives, finding the balance between speed and sustainability in business processes, embracing frustration and failure, and connecting silos for transformation.

Shahar Chen, CEO and Co-founder of Aquant, discusses the role of generative AI-enhanced co-pilot platforms in improving B2B customer experiences in field service across various industrial sectors. They explore the talent shortage in manufacturing and the potential of AI adoption for driving innovation. They also highlight the challenges in B2B customer experiences, the impact of increasing customer expectations on AI adoption, and the importance of AI fluency in the manufacturing sector.