Hey folks, just wanted to check in. Is anyone here also making the jump from BI into AI/automations? I’m still pretty new to this space and figuring things out, so thought it’d be cool to connect with others on the same path. If you’ve got any tips or lessons from your own journey, would love to hear them!

Hey everyone, I just completed a new course for you: "Data Science Accelerator". This course will be unlocked, together with "Building Applications with LLMs" at level 3. How to level up? Just interact with the group, get likes and comments, and watch your level go up!

I just found out that OpenAI's o3 model climbed to #175 on the Codeforces leaderboard, outperforming 99.9% of human coders in competitive programming! 🤯 As someone new to programming and data science, I’m curious—how can we, as humans, stay ahead in this rapidly evolving AI-driven world? Is it about mastering AI tools, focusing on creativity, or something else entirely?

Tools like n8n, Make.com, Zapier, Workato, and Power Automate are expanding capabilities for automating business and engineering processes across platforms. https://www.synthesia.io/post/ai-tools -

Hi everyone! Long time no see! Today I wanted to share something that has got me thinking lately. In a machine learning group I’m part of, panic recently broke out over AI taking our jobs. My reaction? AI won’t take our jobs, but poor problem-solving might. Here’s why: - Problem Solvers vs. Button Pushers: If your role is limited to repetitive tasks or “pressing buttons” on existing tools, then yes, AI can replace that. But those who can frame problems, adapt to new contexts, and design solutions remain indispensable. - The Human Context: AI is powerful at pattern recognition, but it doesn’t create context. Humans connect messy, ambiguous real-world situations to the abstract logic that models need. Without that, AI often falls short. Take a recent project: I had to automate a 37-page PowerPoint in R for 80 companies. The tricky part came when slide ordering had to change dynamically depending on each company. AI tools I tried couldn’t solve the logic behind reordering; some even told me it was “impossible to do so in R.” But once I figured out the underlying sequence logic myself, AI became incredibly helpful. It executed my step-by-step plan flawlessly. The breakthrough wasn’t in the tool, but in the human ability to decompose the problem. This reminded me that AI is not a replacement for ingenuity. It’s an amplifier. Our roles aren’t disappearing. They are evolving, and the sharper our problem-solving skills, the more powerful AI becomes in our hands. What do you think? Have you faced situations where AI couldn’t solve the problem until you provided the logic?