What it takes to build an AI-ready data foundation: Insights from Think 2026 | IBM
PushButton AI Team ·
What it takes to build an AI-ready data foundation: Insights from Think 2026 | IBM
The biggest AI lie nobody tells you: you don't have a tool problem. You have a data problem.
If you bought an AI subscription that nobody uses, you're not alone. Most business owners hit the same wal
The biggest AI lie nobody tells you: you don't have a tool problem. You have a data problem.
If you bought an AI subscription that nobody uses, you're not alone. Most business owners hit the same wall — the tool looks great in the demo, then collects dust because it doesn't connect to how your business actually runs. That's not on you. That's on how AI gets sold.
Here's what IBM's latest research confirmed: AI only performs as well as the information you feed it. Garbage in, garbage out. The companies seeing real results aren't buying fancier tools — they're getting clear on what data they already have and what decisions they actually need AI to make.
This matters for you right now. Before you spend another dollar on AI software, spend 30 minutes answering one question: what is one repetitive decision my team makes every week using information we already track?
That answer is your starting point. One use case. One data source. One measurable outcome. That's how you get your first real AI win without touching what's already working.
Start there. Prove it works. Then build from it.
What's one decision in your business that still takes way more time than it should?
