AI Today Podcast

Exploring the significance of prompt engineering in generative AI, understanding prompt patterns, comparing RTF and CREATE prompt patterns, exploring extensive capabilities of prompt engineering with LLMs in AI systems, discussing transformative potential of AI in education

Interview with Bernadette Berger, Director of Innovation at Alaska Airlines, discussing AI's impact on air travel, including personalized experiences, challenges in AI adoption, and future modalities of AI interaction in aviation technology.

Dr. Jag Singh, a professor at Harvard Med School, discusses AI's impact on medicine. Topics include personalized medicine, virtual care, sensor integration, disease prediction, and hyper-personalized healthcare. The podcast also explores AI in education and resources for AI project management.

In this podcast, Wei Li, VP/GM of AI Software Engineering at Intel, discusses AI being integrated everywhere in hardware and software. Topics include AI evolution at Intel, collaboration with Microsoft for AI in collaboration tools, the role of open source in AI development, AI implementation strategies, and future trends in AI applications.

Nuri Cankaya, VP of AI Marketing at Intel, discusses lowering barriers to entry for AI adoption. Topics include challenges in integrating AI with real-world data, Intel's efforts to make AI more accessible, collaborations for sustainable AI solutions, importance of energy-efficient products, utilizing appropriate tools for AI projects, and AI's future impact on society.

The podcast discusses AI's impact on healthcare with Dr. Jesse Ehrenfeld, President of the AMA. Topics include ethical AI in healthcare, trust and transparency in AI-driven platforms, augmented intelligence in healthcare workflows, and the future of AI in healthcare.

Discover how AI is reshaping teamwork and creativity with generative AI, the importance of responsible AI, and the transformative impact on industries. Dive into discussions about societal perceptions, cultural influences, and the future of work in the age of AI.

The podcast delves into the Explainable AI Layer of the Cognilytica Trustworthy AI Framework, discussing the importance of AI algorithms being able to explain decisions. It explores the significance of transparent AI systems in building trust, highlighting pitfalls of black box technology. The contrast between explainable algorithms and less transparent machine learning approaches is also emphasized.

Explore the evolving AI teams in organizations, focusing on the impact of generative AI and the role of specialized roles. Learn about the importance of soft skills and an iterative approach in AI projects, and involving every member in the AI team. Embrace AI for organizational relevance and engage with the AI Today community for more insights and resources.

Delve into the importance of AI audit trails and traceability for accountability and compliance. Explore the need for governance and controls in AI systems, along with the significance of implementing controls to prevent negative outcomes. Learn about Trustworthy AI certification and upcoming AI Today podcast episodes and resources.