Data access and integration: SAP realigns its AI strategy - E3-Magazin

Even the biggest AI companies in the world are still figuring out their data problem. SAP just spent billions acquiring three companies — all to solve one issue: getting their AI to actually connect

Even the biggest AI companies in the world are still figuring out their data problem.

SAP just spent billions acquiring three companies — all to solve one issue: getting their AI to actually connect to the right information at the right time.

Let that sink in.

If SAP needs to rebuild their data foundation before their AI works properly, it explains why that $200/month tool your team never touches isn't delivering either. It's not that you picked wrong. It's that nobody told you AI is only as useful as the data you feed it.

Most AI failures aren't tool failures. They're data access failures. The tool works fine — it just can't reach the information it needs to be useful to your specific business.

Here's the one thing you can act on this week: before you evaluate any AI tool, ask one question — "Where does this connect to the data we already have?" If the vendor can't answer that clearly in plain English, walk away.

That single filter will save you from the next shelfware subscription and move you toward a first win that actually sticks.

What's the biggest gap between what you were promised an AI tool would do — and what it actually did for your business?

#AIStrategy #BusinessOwners #AIImplementation #SmallBusiness

Original Source

SAP is sharpening up its AI strategy: With acquisitions such as Reltio, Dremio and Prior Labs, the Group is focusing on better data integration, ...