AI Today Podcast

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.

Exploring the evolving nature of AI project costs, the impact of data quality, and strategies for cost-effective initiation. Optimizing costs through leveraging existing models and efficient project management. Emphasizing the significance of strategic spending in AI projects.

The podcast discusses the importance of transparent AI concepts, including managing and running AI systems, addressing visibility into AI creation and application, exploring challenges in AI training data, and highlighting the role of transparency in building trust with users.

This podcast discusses the best practices for scoping AI projects, emphasizing the importance of thinking big, starting small, and iterating often. It covers topics such as aligning AI initiatives with business goals, avoiding haphazard implementation, and navigating challenges in AI projects.

Exploring the evolution of AI adoption, from historical setbacks to generative AI technologies. Discussing challenges of crossing the chasm between early adopters and mainstream users. Emphasizing the accessibility and usability of AI systems, and encouraging listener engagement.

Exploring the deceptive world of pseudo AI, where companies claim to use AI but tasks are actually performed by people. The podcast delves into examples like Tesla's humanoid robot unveiling and the importance of transparency in AI claims to maintain trust. It also highlights the significance of critical thinking in evaluating AI products and processes to avoid falling for pseudo AI tactics.

The podcast discusses the concept of data debt in organizations, highlighting how data-related problems accumulate over time. It explores the impact of big data on exacerbating the issue and emphasizes the importance of managing data effectively. The episode also touches on the importance of AI education and audience engagement for better understanding of AI concepts and project management.