Juhani Vanhatapio lives in Finland at the Arctic Circle and is studying data engineering and machine learning. Juhani shares stories about life in the Arctic, the challenges and fun of guiding tours to see the Northern Lights, his AI Assistant for Northern Lights tourism, and his journey into the tech field during the COVID pandemic. This is definitely a very interesting and left-field conversation you'll enjoy.

I'm heads down with some work right now, but here are some random rants on workshops, the tariff chaos, and more.

Vin Vashishta and I chat about the current state of AI in business, the challenges of implementation, the pervasive hype surrounding AI technologies, influencers, and more.

Vinoth Chandar (CEO at Onehouse and creator of Apache Hudi) and I chat about the creation of Apache Hudi, the future of open data lakehouses, and much more.

hudi #data #ai #datalakehouse #dataengineering

People often ask me what I'd change in Fundamentals of Data Engineering. Usually, I reply "not much", as the the Data Engineering Lifecycle still remains intact. However, I see the role of data engineers shifting both left and right. What does this mean? Have a listen.

Vaibhav Gupta and I chat about our shared love for tacos in Austin, the evolution of AI tools, and why new thinking and approaches are required for AI-first tools.

BAML: https://github.com/BoundaryML/baml

Mark Freeman joins me to chat about data contracts, the crazy life of being the first employee at a hot startup, writing books and creating content, and much more.

DataEngineering #Startups #AI #DataQuality #DataContracts

I get a ton of questions from people about what their next career move should be. Given the increased turbulence in the job market and how companies are giving the middle finger to their employees, I think people are going to need to question the traditional advice (college, job, "stick it out"). This advice is outdated. Instead, you're going to have to dig deep, embrace discomfort, and figure out your next move.

Nick Freund - Closing a Startup https://open.spotify.com/episode/2Iu1qbVklm7hVFniVkdCFQ?si=bcc24223758b48d3

Willis Nana and I chat about the challenges of data engineering leadership, foundational skills, and his journey to a content creator on YouTube.#dataengineering #data #ai #datateam #leadership

Salma Bakouk (CEO of Sifflet) and I discuss the evolving data and AI landscape, the rise of data observability in the age of AI, balancing personal and professional life as a founder, and much more.

Jordan Morrow and I have a lot of experience with public speaking. We get a lot of questions about tips for public speaking.

In this episode, we chat about how to get started with public speaking, tips for awesome presentations and talks, and much more.

Simon Späti and I discuss various aspects of writing, data engineering, and the impact of AI on the writing process. Simon shares his journey from business intelligence to data engineering and his current focus on writing. We also discuss the future of writing in the age of AI. Enjoy!

Todd Beauchene joins me to chat about being an early employee at a tiny startup called Snowflake, modern data platforms, and much more.

In this episode, I explain how I use (and don't use) AI for writing.

The Data Cynic, aka, Matthew Kelliher-Gibson, and I chat about all things cynical about the data field, working in Dilbert-land, negotiation for data professionals, and much more.

My semi-regular co-host and bestie Carly Taylor joins me once again. This time we chat about the true cost of replacing engineers with AI. We explore the implications of mass layoffs, the importance of company culture, and the potential for burnout among tech workers.

It seems like quite a few data practitioners I talk with are miserable. Forced to deliver things ever faster, there's not enough time to THINK. Instead, the pressure is to deliver "stuff" in two-week sprints. In this episode, I rant about why not everything needs to be a sprint, and why we need to treat Deep Work versus Delivery Work differently.

John Thompson joins me to chat about his upcoming book, The Path to AGI, his book writing process, and much more.

John Thompson LinkedIn: https://www.linkedin.com/in/johnkthompson/

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.

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?