Things aren't great in the world of data practitioners. Lots of technical debt and lack of pride in one's craft. The pressure to do more with less only compounds this problem. And AI will make it far worse. If you think the amount of poorly made data architecture and models is bad now, I think we're in for another level very soon. With AI CoPilot on the rise, right as data skills and knowledge decline, I'm increasingly worried we'll offload our critical thinking and skills to AI. The outcome will be an ever expanding Great Pacific Garbage Patch of AI Data Slop.
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Joe Reis
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Joe Reis is a data professional with 20 years in the data industry, known as a "recovering data scientist" and a business-minded data nerd. His experience spans statistical modeling, forecasting, machine learning, data engineering, and data architecture. He is the co-author of Fundamentals of Data Engineering (O'Reilly, 2022).
Bio from: Small Data SF 2025
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Join Eric Broda and me for a fascinating discussion on the cutting edge of AI! We chat about the rapidly evolving world of AI agent ecosystems, exploring their potential to transform industries and reshape the future of work.Eric shares his hard won perspective on the challenges and opportunities facing consultancies in the age of AI, and why he believes AI agents could signal a significant shift in the consulting landscape. We also discuss the ins and outs of running a successful consultancy in today's dynamic market.Key topics covered:-The rise of AI agent ecosystems and their implications-How AI is disrupting the traditional consulting model-The future of consultancies in an AI-driven world-Insights into building and managing a successful consultancy-Whether you're an AI enthusiast, a consultant, or simply curious about the future of agents, this conversation with Eric Broda offers valuable insights and thought-provoking perspectives.#AIAgents#ArtificialIntelligence#Consulting#FutureOfWork#AI#Business#Innovation#Technology
Hugo Bowne-Anderson and I chat about the future of AI and automation, agents, and much more.
Ghalib Suleiman, Kevin Connolly, and I have all run data teams. In this episode, we chat about a bunch of data team "what ifs" - running a data team, hiring and firing, and executive commitments
With AI becoming engrained in nearly every product, there's still a BIG problem - AI and product teams have trouble working together. Whether it's different communication and working styles, or lack of a common language, AI teams stall because they can't align with Product. Anne-Claire Baschet & Yoann Benoit join me to chat about unifying AI and Product Development.
Article: AI & Product: Two Development Cycles to Unifyhttps://craftingdataproducts.substack.com/p/ai-and-product-two-development-cycles
David Jayatillake joins me to chat about semantic layers, assessing value in data work, AI, and much more.
David's LinkedIn: https://www.linkedin.com/in/david-jayatillake/
In data modeling - and pretty much anything else - do you choose "old school" or "new school"? In other words, do you move slow and methodically or fast?
Evan Wimpey joins me to chat about working as a professional comedian, some Bayesian jokes, and other stuff that happened before ;)
Tony Baer, Matt Housley, and Juan Sequeda and I recap our thoughts on Data Day Texas 2025.
My "twin" Carly Taylor joins me to chat about careers, why Big Tech and Ivy League schools are overrated, and much more.
Carly's Substack: https://carlytaylor.substack.com/
LinkedIn: https://www.linkedin.com/in/carly-taylor-data/
Remco Broekmans and I chat about data modeling and the business, Data Vault, and using AI to accelerate data modeling.
It's Friday and Eevamaija Virtanen and I are hanging out at Data Day Texas in Austin.
In this episode, we chat about her upcoming talk, "Bridge Skills."
Chip Huyen joins me to chat about AI Engineering, AI Agents, and much more.
Jamie Davidson (Chief Product Officer at Omni, Former VP of Product at Looker) joins me to chat about "modern" data modeling, going from a startup to Google and back to a startup, and much more.
Omni: https://omni.co/
Burnout is a big topic right now. Carly Taylor and Ghalib Suleiman join me to chat about burnout and ways to deal with it.
Sarah Levy (CEO of Euno) joins me to chat about modern data governance for analytics.
Euno - https://euno.ai/
Carsten Bange (Founder & CEO of BARC) joins me to chat about trends in data, analytics, and AI.
BARC website: www.barc.com
Carsten on LinkedIn: https://www.linkedin.com/in/carsten-bange/
BARC Data Culture Summit: https://barc.com/events/data-culture-summit%20/
BARC DATAfestival: https://barc.com/events/data-festival/
Dave Colls and David Tan join me to chat about building effective machine learning teams, the challenges they face, the 7 deadly wastes in data and ML, writing a book, and much more.
Get their book here: https://amzn.to/3DS2OMp
It's 2025! We made it! ;)
In this podcast, I rant about why data modeling matters more than ever, AI, and why humans will seek out "human" things in 2025 and beyond.
❤️ Your support means a lot. Please like and rate this podcast on your favorite podcast platform.
🤓 My works:
📕Fundamentals of Data Engineering: https://www.oreilly.com/library/view/fundamentals-of-data/9781098108298/
🎥 Deeplearning.ai Data Engineering Certificate: https://www.coursera.org/professional-certificates/data-engineering
🔥Practical Data Modeling: https://practicaldatamodeling.substack.com/
🤓 My SubStack: https://joereis.substack.com/
Simba Khadder (CEO of FeatureForm) joins me to chat about feature stores, reinforcement learning, surfing, and much more.
It's December 31, 2024. Gordon Wong and I wrap up 2024 and chat about what we're excited about in 2025 in data and otherwise.
❤️ If you like my podcasts, please like and rate it on your favorite podcast platform.
🤓 My works:
📕Fundamentals of Data Engineering: https://www.oreilly.com/library/view/fundamentals-of-data/9781098108298/
🎥 Deeplearning.ai Data Engineering Certificate: https://www.coursera.org/professional-certificates/data-engineering
🔥Practical Data Modeling: https://practicaldatamodeling.substack.com/
🤓 My SubStack: https://joereis.substack.com/
Matt Housley and I have a LONG chat about working in consulting, leaving your job, AI, the job market, our thoughts on what's coming in 2025, and much more.
❤️ If you like my podcasts, please like and rate it on your favorite podcast platform.
🤓 My works:
📕Fundamentals of Data Engineering: https://www.oreilly.com/library/view/fundamentals-of-data/9781098108298/
🎥 Deeplearning.ai Data Engineering Certificate: https://www.coursera.org/professional-certificates/data-engineering
🔥Practical Data Modeling: https://practicaldatamodeling.substack.com/
🤓 My SubStack: https://joereis.substack.com/
The first time I met Amr Awadallah, he struck me as a rare person genuinely curious about the world and how technology and AI impact it.
We discuss his early roots as an entrepreneur, the founding of Cloudera and Vectara, the challenges of AI in enterprises, what makes humans unique, and much more.
I had an interesting conversation yesterday with a young gentleman upgrading my Google Fiber. While he was originally pursuing a career as a software developer, he and his friends decided against it after seeing the progress of ChatGPT over the last couple of years.
As a father of two teenage boys, I often think about the nature of work, including whether writing code will be relevant for future generations. Here, I rant at least part (not all) of what's on my mind. This is a big topic, and you'll see me ranting more about it.
Tiankai Feng joins me to chat about the people side of data, aligning on the value of data strategy, and much more.