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Pinned
Jul '23 •
Welcome to Data Alchemy - Start Here
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!
Pinned
Nov '23 •
Unlock New Courses at Level 3
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!
2d •
One thing most teams misunderstand about “data-driven”
Being data-driven isn’t about reacting to numbers. It’s about deciding in advance: • which signals matter • which decisions they inform • and which ones you’ll ignore Most dashboards fail because they show everything. The strongest teams I’ve worked with do the opposite: They reduce data until only decision-critical signals remain. AI makes it easier to compute. It doesn’t make it easier to choose. That part is still human. Good data systems don’t answer more questions. They answer the right ones, consistently. Something I’ve been thinking about recently.
7h •
Data Pipelines Are Evolving Into Ecosystems — And Most Teams Haven’t Caught Up
Traditional data pipelines looked like this: collect → clean → store → analyze Linear. Rigid. Slow. But AI changed the game. Modern data systems work like ecosystems, not pipelines. Here’s what they look like now 👇 1️⃣ Continuous Ingestion (Real-Time Data Flow) Streaming signals, events, logs, feedback, user behavior —not batch pulls every Friday. 2️⃣ Context Layer (The Missing Piece)Raw data is almost useless today. Models need context: – user identity – previous interactions – business rules – time relevance Context = accuracy. 3️⃣ Model Loop (Prediction + Validation)Models generate predictions. Then pipelines validate those predictions against outcomes. This closes the loop. 4️⃣ Self-Healing Mechanisms Modern ecosystems can: – fix broken schemas – detect drift – adjust weights – refactor transformations This reduces human intervention significantly. 5️⃣ Decision Outputs, Not Dashboards Data systems no longer exist just to visualize. They exist to drive action. Alerts, automations, pricing changes, risk detection — all triggered automatically. The shift is clear: Old world: What happened? ”New world: “What must we do next?” Teams that adopt ecosystem thinking will outpace those still turning knobs on dashboards.
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11d •
“The real value of AI isn’t prediction — it’s perception.”
Everyone’s obsessed with making AI predict outcomes — revenue, churn, demand, sentiment. But the true leap forward isn’t in prediction…it’s in perception. AI is learning to see reality as it shifts. It notices when your customers’ tone changes, when your product’s positioning starts slipping, when data stops behaving normally. That’s not forecasting —that’s awareness. The next generation of systems won’t just answer questions —they’ll sense when the right question needs asking. That’s the moment when AI becomes more than analytics becomes adaptive intuition. And the data leaders who design for perception — not just prediction —will build the most resilient companies of the decade.
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