The AI Use Cases Podcast

Steve Metcalf
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Join us on the AI Use Cases Podcast, where we unveil the transformative power of AI through riveting success stories. Discover how trailblazing businesses are revolutionizing their industries with cutting-edge AI innovations that you can't afford to miss.

  1. Exploring AGI's Impact, Economic Insights, and the Future of AI-Augmented Work

    2월 12일

    Exploring AGI's Impact, Economic Insights, and the Future of AI-Augmented Work

    In episode 64, we kick off with a welcome and introduction before diving into Sam Altman's "Three Observations" and the potential impact of AGI. The discussion covers AI intelligence growth and the reduction in associated costs. We examine the socio-economic implications, considering AI as future co-workers, and draw historical parallels for equitable AGI distribution. The episode introduces Anthropic's "The Anthropic Economic Index," providing insights into AI's focus areas and effects on job tasks. We explore AI's influence on salaries and task categorization, emphasizing the significance of the automation to augmentation ratio. The episode wraps up with a conclusion and sign-off.

    8분
  2. Introducing ambient agents

    1월 16일

    Introducing ambient agents

    In episode 63, we begin with an introduction to ambient agents and the current AI landscape. The episode then explores LangChain's recent work, highlighting the introduction of LangGraph. We dive into the definition and functioning of human-in-the-loop processes in ambient agents, discussing their significance. The conversation moves to strategies for building user trust and enhancing agent learning, including the introduction of the Agent Inbox. We also discuss the launch of a new email assistant and consider the future outlook for ambient agents, wrapping up with insights into their potential developments.

    4분
  3. OpenAI's o1 Model: Capabilities, Design Trade-offs, and AI Alignment Challenges

    2024. 12. 19.

    OpenAI's o1 Model: Capabilities, Design Trade-offs, and AI Alignment Challenges

    In episode 62, we start with an introduction to OpenAI's o1 model, discussing its capabilities and the concept of "test-time compute." The episode delves into the o1 model's use of chain-of-thought reasoning and reinforcement learning, exploring its applications and the trade-offs in its system design. We also touch on educational initiatives and the broader implications of the o1 model. The conversation shifts to Anthropic's study on "alignment faking" in AI models, analyzing the behavior and the concerns related to model scale and alignment. We conclude by discussing the future of AI safety and the implications of these findings, wrapping up with final thoughts and a farewell.

    9분
  4. AI in Idea Generation, Management of Risks, and Practical Wisdom in Application

    2024. 12. 10.

    AI in Idea Generation, Management of Risks, and Practical Wisdom in Application

    In episode 61, we begin with a welcome to the AI Use Cases Podcast. The discussion opens with AI's role in idea generation and translation, highlighting its capabilities in creative processes. We then explore the limits of AI, focusing on its learning and synthesis abilities. The conversation shifts to managing risks associated with AI, particularly errors and hallucinations, and how these can impact outcomes. We emphasize the importance of practical wisdom in applying AI effectively. The episode concludes with closing remarks and a reminder for listeners to subscribe for future episodes.

    4분
  5. AI and Digital Assets: Exponential Growth, Investment Shifts, and Rapid Development Insights

    2024. 12. 03.

    AI and Digital Assets: Exponential Growth, Investment Shifts, and Rapid Development Insights

    In episode 60, we kick off with a welcome and an introduction to the episode's themes. We share insights from a recent AI dinner in Austin, focusing on the intersection of AI and digital assets. The discussion highlights companies poised for exponential growth and how this transforms investment theses. The "AI Baby Paradigm" analogy is introduced, offering a perspective on the rapid development of AI. We delve into the concepts of inferential learning and the speed of AI development, emphasizing the importance of understanding exponential growth. The episode concludes with a wrap-up and final thoughts on the discussed topics.

    6분
  6. Unstructured Data in Finance: Investment Support, Compliance, and Risk Management

    2024. 11. 25.

    Unstructured Data in Finance: Investment Support, Compliance, and Risk Management

    In episode 59, we begin with an introduction to the challenges and opportunities of unstructured data in financial services. The discussion highlights how AI can support investment decisions and automate compliance processes, enhancing efficiency and accuracy. We explore AI's role in improving customer service and risk management, providing a competitive edge. The episode delves into how Gradient's platform streamlines financial analysis, offering transformative insights. We conclude with a wrap-up, summarizing the key points and reflecting on the potential future developments in the financial sector.

    5분
  7. Enterprise AI: Spending Trends, Generative Use Cases, and Market Disruption

    2024. 11. 21.

    Enterprise AI: Spending Trends, Generative Use Cases, and Market Disruption

    In episode 58, we start with a welcome and an introduction to the episode's themes. We explore AI spending trends and the transformative effect on enterprises, followed by a discussion on generative AI use cases and the build vs. buy debate. The conversation shifts to AI implementation, focusing on prioritizing value and overcoming challenges. We analyze market disruption by startups and incumbents, and vertical AI applications. The impact of AI on knowledge work and the future of enterprise AI are examined, including advancements in cognitive tasks and the exodus of senior engineers. A case study on marketing automation from Imagine AI Live is presented, and we discuss human creativity in the AI era. The episode concludes with a wrap-up.

    9분
  8. Healthcare AI: Gradient's Impact on Population Health and Member Satisfaction

    2024. 11. 20.

    Healthcare AI: Gradient's Impact on Population Health and Member Satisfaction

    In episode 57, we open with a welcome and an introduction to a healthcare AI success story. The episode explores the intricacies of population health management and the challenges faced by payors in the healthcare industry. We introduce Gradient's AI data reasoning platform and discuss its transformative impact on healthcare practices. The conversation highlights key takeaways, focusing on how the platform has contributed to improved member satisfaction. The episode wraps up with closing remarks and a teaser for what to expect in the next installment.

    4분
모두 보기(64개)

소개

Join us on the AI Use Cases Podcast, where we unveil the transformative power of AI through riveting success stories. Discover how trailblazing businesses are revolutionizing their industries with cutting-edge AI innovations that you can't afford to miss.

정보

  • 제작진
    Steve Metcalf
  • 방송 연도
    2024년 - 2025년
  • 에피소드
    64
  • 등급
    전체 연령 사용가
  • 저작권
    © Copyright 2025 The AI Use Cases Podcast
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    The AI Use Cases Podcast

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