

AI Today Podcast
AI & Data Today
The top podcast for those wanting no-hype, practical, real-world insight into what enterprises, public sector agencies, thought leaders, leading technology companies, pundits, and experts are doing with AI today.
Episodes
Mentioned books

Nov 20, 2023 • 15min
AI Today Podcast: AI Glossary Series – Malicious AI, Adversarial Attack, DeepFake
The podcast discusses the importance of understanding ethical concepts in AI and explores terms like malicious AI, adversarial attacks, and deep fakes. It highlights various ways AI can be misused, including AI impersonation, adversarial attacks on machine learning systems, surveillance evasion, and deep fakes. The risks and consequences of malicious AI, particularly deepfakes, are explored, as well as the impact of deep fakes on trust and the challenge of differentiating real and fake news.

Nov 15, 2023 • 32min
AI Today Podcast: CPMAI in the Real World, Interview with Dr. Philipp Schlenkhoff, CPMAI
AI expert Dr. Philipp Schlenkhoff discusses the value of incorporating the CPMAI methodology into AI projects. They explore the evolving landscape of AI tools, the future of AI in reshaping work and interactions, and the concept of CPMI for running successful AI projects.

Nov 13, 2023 • 21min
AI Today Podcast: Generative AI Series: Implementing Generative AI in production
This episode of the podcast explores the implementation of generative AI in production, discussing the CPMA methodology, prompt engineering, monitoring challenges, and the declining effectiveness over time. It also covers the risks of adversarial prompts and emphasizes the importance of human oversight and resource management.

Nov 10, 2023 • 21min
AI Today Podcast: AI Glossary Series- methodology, waterfall, Agile, CRISP-DM, Cognitive Project Management for AI (CPMAI)
The hosts discuss the importance of methodology in AI projects, comparing Waterfall and agile methodologies. They explore the differences between CRISP DM and CPMI methodologies and highlight the benefits of getting certified in Cognitive Project Management for AI (CPMAI).

Nov 8, 2023 • 27min
AI Today Podcast: Discussing the AI-Native Future: Interview with Gi Jung Kim, CEO & Co-Founder, CoxWave
In this episode, the hosts interview Gi Jung Kim, CEO and co-founder of Coxwave. They discuss the applications of AI in an AI-native future, the importance of analytics for AI systems, the impact of generative AI on conversational data analysis, and the potential applications of AI in various fields. The speakers also emphasize the benefits of personalized experiences and user honesty, as well as the need for strong security measures for user data.

Oct 27, 2023 • 28min
AI Today Podcast: Generative AI Series: How to Avoid Getting Screwed with Generative AI
The podcast discusses the negative impacts and challenges of generative AI, the importance of verifying and validating its responses, changes in the quality of responses due to moderation features, the potential negative impact of relying too heavily on generative AI, and understanding the power and challenges of generative AI.

Oct 25, 2023 • 46min
AI Today Podcast: AI in Architecture, Engineering, and Construction (AEC): Interview with Sergio Villanueva-Meyer, CPMAI
In this podcast, Sergio Villanueva-Meyer, an AI in Architecture, Engineering, and Construction (AEC) expert, discusses the implementation of AI tools in the construction industry. The speakers highlight the importance of understanding business objectives, integrating design and construction methods, and the challenges faced in integrating software tools. They also explore the benefits of getting certified in the CPM AI methodology and emphasize the importance of collaboration and team effort in AI projects.

5 snips
Oct 20, 2023 • 19min
AI Today Podcast: Trustworthy AI Series: Explainable & Interpretable AI
The podcast explores the importance of explainable and interpretable AI, including the need for verifiable explanations, algorithmic transparency, and debugging AI systems. It discusses the significance of understanding root cause explanations and the challenges in achieving explainability. The chapter also highlights the difference between black box and white box algorithms and the importance of choosing the right algorithmic approach. It concludes by discussing trustworthy AI resources, upcoming interviews, and listener feedback.

Oct 18, 2023 • 14min
AI Today Podcast: AI Glossary Series – Black Box, Explainable AI (XAI), Interpretable AI
The hosts emphasize the significance of establishing a common vocabulary for effective communication within teams. They discuss the importance of understanding and explaining AI systems, introducing 'black box' technology and 'explainable AI'. They explore the concept of explainable AI (XAI) and the trade-off between explainability and accuracy. They also discuss interpretable AI, algorithmic transparency, and ethical AI.

Oct 14, 2023 • 30min
AI Today Podcast: Lessons Learned from AI Project Management: Interview with Jonelle Martinez
Jonelle Martinez, an expert in AI project management, shares insights on the challenges and consequences of AI projects, including the importance of skills, clean data, and resources. They discuss the future of AI and its application to organizations, highlighting potential benefits and expressing concerns about ethics and data privacy. They also talk about promoting feedback, project management resources, and more AI content on the podcast.


