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Micro Graph Transformer Powering Small Language Models // Jon Cooke // #208

Jan 30, 2024
57:10
Snipd AI
Jon Cooke, founder of Dataception and creator of the Data Product Pyramid, discusses using specialist small language models and graphs to accelerate data product ecosystems. Topics include deconstructed Encoder/Decoder Transformers, data product management, tech to eliminate data grunt work, and building sophisticated analytics in real-time.
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Podcast summary created with Snipd AI

Quick takeaways

  • Accelerating data analytics by bridging the gap between business requirements and technical implementation.
  • Streamlining data analytics by accessing and analyzing data without complete onboarding and transformation.

Deep dives

Accelerating Delivery and Reducing Friction

The podcast episode discusses the importance of accelerating the delivery of data analytics and reducing friction in the process. It emphasizes the need to bridge the gap between business requirements and technical implementation. The episode highlights the challenges of complex data estates, organizational decision-making, and the importance of clearly defining the desired end state. The speaker shares insights about a data product framework that aims to streamline the process by using natural language interaction and employing agents to facilitate communication and rapid prototyping. The focus is on achieving agility, speed, and low cost in delivering data-driven insights.

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