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Inhalt bereitgestellt von Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
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Generative AI Analytics: Hype vs. Reality

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Manage episode 431885272 series 3366322
Inhalt bereitgestellt von Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Welcome to The Dashboard Effect Podcast! In this episode, Brick and Caleb discuss the world of generative AI analytics, reflecting on the initial excitement and the current state of the technology. They share their insights and personal experiences, examining the progress made since the Microsoft Build Conference 2023 and evaluating whether generative AI tools are living up to their expectations.
Visit our website https://BlueMargin.com for more insights and resources.
Episode Highlights:
- Initial Excitement and High Expectations: Brick and Caleb reminisce about the excitement surrounding the Microsoft Build Conference 2023 and the potential they saw in tools like ChatGPT and Microsoft's Power BI Copilot.
- Current State of Generative AI: Despite the initial hype, Brick shares his observations on the current limitations of generative AI tools, particularly in producing reliable and accurate results.
- Data Quality and Reliability: Caleb highlights the ongoing challenge of ensuring high-quality data input to achieve meaningful outputs, emphasizing the old adage, "garbage in, garbage out."
-Machine Learning vs. LLMs: The conversation differentiates between traditional machine learning techniques and the newer large language models, exploring their respective strengths and weaknesses.
- User Interface and Semantic Layer: The importance of building effective data models and semantic layers is discussed, with real-world examples of the complexities involved.
- Future of AI: Brick and Caleb speculate on the future developments in AI, including the possibility of re-architecting LLMs and the timeline for achieving truly reliable generative AI tools.
If you enjoyed this video and found it helpful, please give it a thumbs up and subscribe to our channel. Your support helps us continue to provide valuable insights and updates on the latest in data analytics and AI technology.
Watch the episode here: https://youtu.be/D5_WqaI_LNo
Thanks for watching, and we'll see you in the next episode of The Dashboard Effect Podcast!

  continue reading

140 Episoden

Artwork
iconTeilen
 
Manage episode 431885272 series 3366322
Inhalt bereitgestellt von Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Welcome to The Dashboard Effect Podcast! In this episode, Brick and Caleb discuss the world of generative AI analytics, reflecting on the initial excitement and the current state of the technology. They share their insights and personal experiences, examining the progress made since the Microsoft Build Conference 2023 and evaluating whether generative AI tools are living up to their expectations.
Visit our website https://BlueMargin.com for more insights and resources.
Episode Highlights:
- Initial Excitement and High Expectations: Brick and Caleb reminisce about the excitement surrounding the Microsoft Build Conference 2023 and the potential they saw in tools like ChatGPT and Microsoft's Power BI Copilot.
- Current State of Generative AI: Despite the initial hype, Brick shares his observations on the current limitations of generative AI tools, particularly in producing reliable and accurate results.
- Data Quality and Reliability: Caleb highlights the ongoing challenge of ensuring high-quality data input to achieve meaningful outputs, emphasizing the old adage, "garbage in, garbage out."
-Machine Learning vs. LLMs: The conversation differentiates between traditional machine learning techniques and the newer large language models, exploring their respective strengths and weaknesses.
- User Interface and Semantic Layer: The importance of building effective data models and semantic layers is discussed, with real-world examples of the complexities involved.
- Future of AI: Brick and Caleb speculate on the future developments in AI, including the possibility of re-architecting LLMs and the timeline for achieving truly reliable generative AI tools.
If you enjoyed this video and found it helpful, please give it a thumbs up and subscribe to our channel. Your support helps us continue to provide valuable insights and updates on the latest in data analytics and AI technology.
Watch the episode here: https://youtu.be/D5_WqaI_LNo
Thanks for watching, and we'll see you in the next episode of The Dashboard Effect Podcast!

  continue reading

140 Episoden

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