AI Today Podcast

In this podcast, Selvie Thevathasan, an AI and ML project management expert, discusses the Certified Project Management for AI (CPMAI) certification and the importance of growing key AI and data skills. The podcast covers topics such as challenges in AI and data projects, addressing gaps in AI project management, and the future of AI and its applications.

In this podcast, the hosts discuss the importance of trustworthy AI and the need for ethical guidelines. They delve into topics such as building AI for positive purposes, complying with regulations, and ensuring transparency and trustworthiness. The podcast also explores the different layers of trust in AI systems, including transparency, governed AI, contestability, and interpretable/explainable AI. Additionally, they emphasize the significance of addressing various AI layers and the availability of a trustworthy AI certification.

Learn about retrieval augmented generation (RAG) and its advantages. Discover how RAG systems combine relevant information with a user's query. Explore strategies for minimizing hallucinations in RAG systems. Expand your AI knowledge with the AI Today podcast and website.

This podcast episode discusses the concept of the comprehensive trustworthy AI framework and explores existing ethical AI frameworks. It outlines the five levels of the framework and emphasizes the importance of making AI systems more responsible and trustworthy. The episode also covers the significance of trustworthy AI training and certification, as well as emerging laws and regulations.

The hosts discuss the importance of the seven patterns of AI and how they bring clarity to different AI applications. They also delve into the conversation and human interaction pattern, the recognition pattern, and the autonomous systems pattern in AI. In addition, they provide an overview of the seven patterns of AI and share upcoming interviews and resources for listeners.

Christina Kucek, CPMAI certified AI professional, discusses challenges in implementing intelligent automation projects, importance of data management strategy, the future of actionable AI and its impact on employee engagement, AI applications in public and commercial sectors, and progress in autonomous business processes.

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.