Hey everyone! As we’re heading towards the final month of 2024, I’ve been reflecting on what a whirlwind the past few months have been. Q3 and Q4 have been incredibly busy — between running Datalumina, managing client projects, seeing amazing growth in Data Freelancer, shipping the GenAI launchpad, moving into a new office, and onboarding the first customers for our new SaaS product, it’s been a ride. 🚀 On top of that, keeping up with the YouTube channel has been both a challenge and a joy. Honestly, it’s one of my favorite parts of what I do — helping you all learn, grow, and tackle data challenges with confidence. Seeing your feedback and progress keeps me motivated to keep creating. Now, I’m starting to map out my content plans for 2025, and I’d love to hear from YOU. What are you currently learning? What topics would you like me to cover next year? 🎥 Would you like to see more LLM-based tutorials? Deeper dives into machine learning workflows? Maybe even some freelancing tips for data professionals? Or something else entirely? Let me know in the comments — what are you most excited to learn in 2025? This is your chance to shape the direction of the content we create together. Thanks for being part of this community! 🙏🏻 — Dave

Wondering if any of you guy's have experience with boosting product support capacity via AI? We are on Zendesk at the moment and I'm thinking how could we help our team do more? Like building a chatbot on top of our knowledge base, or building some system that pregenerates potential email answers that just need to be reviewed, not typed.

Does anyone here working in marketing?Id like to know how you guys are implementing AI in marketing beside genAI

The goal of this group is to help you navigate the complex and rapidly evolving world of data science and artificial intelligence. This is your hub to stay up-to-date on the latest trends, learn specialized skills to turn raw data into valuable insights, connect with a community of like-minded individuals, and ultimately, become a Data Alchemist. Together, let's decode the language of data and shape a future where knowledge and community illuminate our way. Rules - Don't sell anything here or use Data Alchemy as any kind of funnel - We delete low effort community posts, and posts with poor English. Proofread your post first. - Help us make the posts high quality. If you see a low quality post, then click on the 3 dots on the post and "Report To Admins". Start by checking out these links - Classroom - Introduction - Roadmap - Contribution Be Aware of Scammers - Please be aware that this is a public group. Unfortunately, some people abuse the Skool platform to send DMs or post comments to trick people. This is the internet, so always do your own due diligence. Never automatically trust someone here on the Skool platform other than @Dave Ebbelaar's official account. To kick things off, please comment below, introducing yourself. Let us know: 1. Your name and where you're from 2. What project(s) you're currently focused on See you in the comments!

Have you seen the new PydanticAI framework? In this week’s video, I break down everything you need to know about this early beta release. I walk you through: - Why PydanticAI stands out with its low-level abstractions and data validation focus. - How you can integrate dependency injection and structured outputs into LLM workflows with ease. Wondering if Pydantic AI can fit into your stack? By the end of this video, you’ll know how it compares to LangChain, LlamaIndex, and more—and whether it’s worth trying in production.