The Joe Reis Show

Egor Gryaznov, data industry expert, chats about the 'Non-Modern Data Stack' and the importance of getting out of our data bubble. They discuss building data warehouses at Uber, contrasting big tech companies in Silicon Valley, selling non-modern data solutions, and the significance of observability for the non-modern data stack.

Vendors are an integral part of conferences (they pay for them, for one). But what happens when vendors face a tough market? Between higher interest rates, a tough funding environment, and a lukewarm market for what vendors are selling, what happens? I unpack some thoughts on what I think 2024 will look like for vendors at conferences.

Data expert Jason Taylor and host Joe chat about low-key data happy hours, the impact of social media filter bubbles, data reliability engineering and observability, the modern data stack, and the idea of hosting a conference to bridge the gaps in the data space. They also discuss challenges in the funding environment and the importance of efficient communication.

Michel Tricot (CEO of Airbyte) joins me to chat about the impact of AI on the modern data stack, ETL for AI, the challenges of moving from open source to a paid product, and much more. Airbyte & Pinecone - https://airbyte.com/tutorials/chat-with-your-data-using-openai-pinecone-airbyte-and-langchain Note from Joe - I had audio issues cuz he got a new computer and didn't use the correct mic :(

Juan Sequeda, expert in knowledge graphs and pioneer in the field, discusses the potential of LLMs on structured datasets, the transition to a knowledge-first world, the role of knowledge graphs in enterprise structured data, the power of knowledge graphs in understanding RDF data, and the benefits of utilizing large language models for small to medium businesses.

Nowadays, it seems like lots of people want to become data influencers and content creators. Ravit Jain and I chat about how to build an audience, the power of LinkedIn, and much more. The Ravit Show: https://theravitshow.com/ LinkedIn: https://www.linkedin.com/in/ravitjain/

Boring is back. As technology makes the lives of data engineers easier with respect to solving classical data problems, data engineers can now move to tackle "boring" problems like data contracts, semantics, and higher-level and value-add tasks. This also sets us up to tackle the next generation of data problems, namely integrating ML and AI into every business workflow. Boring is good.

Aaron Neiderhiser and Coco Zuloaga discuss the challenges of working with healthcare data, the importance of open source projects, their experience in Y Combinator, building good products, constructing semantic layers in data analysis, and the future of healthcare.

In this podcast, the speaker discusses the common challenges faced by data teams and the need for them to play offense instead of defense. They emphasize the importance of integrating data into business and society, and invite listeners to attend upcoming events.

David Foster just published the 2nd edition of his amazing book, Generative Deep Learning (O'Reilly 2023). We chat about a lot - running a consultancy, all things writing, the impact of AI on kids, why in-person events matter more than ever, and much more. David's LinkedIn: https://www.linkedin.com/in/davidtfoster/ Book (Amazon): https://www.amazon.com/Generative-Deep-Learning-Teaching-Machines/dp/1492041947 Applied Data Science Partners: https://adsp.ai/