Data & AIYour AI tools don't talk to each other
Ten AI experiments that never meet aren't a system—they're ten demos. The fix isn't another tool. It's one place they all read from and write to.
#AI#Automation#Workflows1 min read
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Data & AI
Analytics, BI, GenAI, and MCP — practical ways to make data trustworthy and AI actually useful.
Data & AI
Data & AIWhere GenAI actually saves your ops team time
Skip the moonshots. The durable wins are boring, repetitive, low-stakes tasks with a human check at the end.
#AI#Automation1 min read
Data & AIWhat is MCP? How to connect AI to your real systems
The Model Context Protocol lets an AI assistant safely use your systems — look up an order, update a record — instead of just talking about them. Here's what it is and how connecting one works, without the code.
#MCP#AI3 min read
Data & AICluster your data with K-Means before you over-engineer a model
Before you reach for a neural network, see what a simple clustering pass tells you. Often the structure was obvious and cheap all along.
#Data#Machine Learning#Analytics2 min read
Data & AIDefine the metric before you build the dashboard
Half of 'the numbers don't match' problems aren't data problems — they're two people using the same word for two different calculations.
#Data#Analytics#BI1 min read
Data & AI'AI-ready' means governed data, not a chatbot
Everyone wants to add AI. The teams that get value from it did the unglamorous work first: clean definitions, clean data, and guardrails.
#AI#Data#Governance1 min read