Rite Aid, a company banned from using facial recognition technology for 5 years, is discussed on the podcast. The episode explores the flawed system and the implications of the ban. The importance of trustworthy AI frameworks and human oversight in implementing facial recognition is emphasized. The speakers also discuss addressing data bias and the need for human supervision in AI projects. Key takeaways include having a framework, managing systems, and prioritizing trustworthiness through training and certification programs.

In this podcast, Nick Owen, a marketer at Diageo, discusses hyperpersonalization, utilizing AI for whiskey recommendations, centralizing consumer data, staying ahead in AI adoption, team structures, and insights on practical AI implementation in various industries.

AI project managers need specific AI and data skills, such as project integration, data-driven decision making, continuous iteration, and trustworthiness. They also discuss the CPMAI methodology and best practices for managing AI projects.

The podcast discusses the growing presence of Generative AI, its integration into everyday objects, and the importance of predictability in AI models and fully autonomous vehicles. It also emphasizes the significance of project management in AI projects, explores the differences between RPA and Generative AI, and highlights the impact of Generative AI on the industry in 2024.

The podcast discusses the highlights of AI in 2023, including generative AI and Trustworthy AI. Venture Capital investment in AI remains strong. Topics covered include recent investments, protein folding breakthrough, advancements in large language models, trends and developments in AI, and upcoming topics.

The podcast discusses the groundbreaking EU AI Act, the world's first comprehensive AI law, which aims to regulate AI use in the EU. It explores the different levels of AI systems regulation and the implications of the Act for businesses, including compliance requirements and regulation of image manipulation tools. The episode also emphasizes the importance of a trustworthy AI framework and provides resources for further learning.

Nandini Nandakumar, a marketing expert at Diageo, discusses the role of AI in marketing and product innovation. They explore predictive modeling, consumer segmentation, and content creation. The podcast highlights the importance of collaboration, starting small, and addressing challenges in AI adoption. It also discusses the future of AI in the Consumer Packaged Goods industry.

The hosts discuss the different lengths of time to see ROI for various AI projects, including augmented intelligence and assisted intelligence. They explore the concept of using augmented, assisted, and autonomous systems in AI projects to achieve a faster ROI. The varying timeframes to achieve ROI for different types of AI projects are highlighted, such as conversational systems having a shorter time to ROI compared to predictive analytics and autonomous activities.

The AI Today podcast explores when to use automation versus AI, including examples of automating repetitive tasks and the suitability of AI for complex tasks. It also discusses scenarios where automation falls short, such as image recognition and customer service. Additionally, the podcast highlights the strengths and weaknesses of both approaches and introduces the CPMAI methodology and certification.

Xiong (Sean) Liu, Director at Novartis, discusses the impact of AI in pharma including streamlining processes, optimizing drug discovery, and enhancing patient care. He shares real-world examples of AI applications in biology discovery, molecule design, and clinical trials. The chapter also emphasizes the transformative impact of AI and the importance of ethical AI in the pharmaceutical industry.