Tech Talks with Kimberly and AIJoe

Kimberly L. Tripp (SQLskills) and Joe Sack (Independent / resume includes Elastic, Microsoft, PostGres, and SQLskills) like to talk tech and always have fun doing it. We're mostly focused on topics for data professionals. SQL Server is our preferred database for prototyping and testing but many concepts apply to other databases (especially around AI and Vector Search). We, like many tech types, also like to branch out (squirrel) to all things Tech - especially animals, photography, gadgets, and who else knows what?!

Tech Talks with Kimberly and AIJoe is a technology podcast hosted by Kimberly L. Tripp, with 11 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Kimberly L. Tripp hosts Tech Talks with Kimberly and AIJoe, a technology show with 11 episodes published.

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  Episode #11

  011: Designing for Embeddings with Partitioning

  Mar 26, 202618 minS0

  <p>The conversation delves into the design considerations for embedding models, storage and management of embedding models, model versioning, separate tables for embedding models, switching data and model cut-over, strategic partitioning for data analysis, handling chunking and provenance tracking, recency and legal requirements, read, write, and data structure considerations, and policy-based management for agents.</p><p></p><p>Takeaways</p>Embedding models require careful design and considerationThe use of separate tables for embedding models allows for flexibility and better management<p></p><p>Chapters</p><p>00:00 Exploring Vector Use Cases</p><p>02:44 Embedding Storage Strategies</p><p>05:29 Managing Embedding Models<...

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  Tech Talks with Kimberly and AIJoe

  010: Reconciling Database Sprawl and Hybrid Queries

  Mar 25, 202611 minS0

  <p>The conversation delves into the use of vector search for identifying schema and table structure similarities, highlighting its benefits and limitations. It explores the challenges of using vector search to identify redundancy and foreign key relationships within databases.</p><p></p><p>Takeaways</p>Vector search for schema and table structure similaritiesLimitations of vector search in identifying redundancy and foreign key relationships<p></p><p>Chapters</p>00:00 Schema and Table Structure Similarities

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  Episode #9

  009: Navigating Vector Search and Staying Relevant

  Mar 11, 202611 minS0

  <p>The conversation explores the power of AI and vector search, focusing on code exploration and analysis. It delves into the challenges of code sprawl, semantic similarity, and the potential of vector search to identify and address inconsistencies in code. The use of vector search as a tool for code analysis and refactoring is highlighted, along with its potential to enhance the role of DBAs and developers. The conversation also touches on the future role of AI agents in code search and the practical applications of vector search in database management.</p><p></p><p>Takeaways</p>Code sprawl and...

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  Episode #8

  008: Unlocking the Power of Vector Search

  Mar 10, 202620 minS0

  <p>Why isn't Vector Search taking off as fast as we expected? We both agree that the power and complexity of vector search are both pros and cons - setting its adoption rate at a slower pace. However, we both feel that those who embrace this technology -- and especially those that master it -- will be able to move forward much faster than those who do not. Agentic coding, prototyping, and AI integration are really ramping up; those who leverage this technology quickly, effectively, and most importantly, correctly will see incredible benefits in productivity and ability to adopt exciting...

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  Tech Talks with Kimberly and AIJoe

  007: Productivity with Claude Code

  Mar 9, 202658 minS0

  <p>Kimberly and Joe dive into the capabilities of Claude Code, demonstrating its use for automation, natural language interaction, and custom skill development. It explores the integration, extensibility, and learning potential of Claude Code, emphasizing optimization, efficiency, and the challenges associated with its use. The conversation explores the potential of AI in various aspects of database management, business exploration, and creative endeavors. They also discuss the challenges and opportunities presented by AI-generated content and the role of consultants and researchers in leveraging AI effectively. The discussion highlights the need for understanding and utilizing AI tools to make day-to-day tasks more...

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