Generative AI Analytics: Hype vs. Reality

The Dashboard Effect

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.
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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.
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Watch the episode here: https://youtu.be/D5_WqaI_LNo
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