We are pleased to share the insights of Thomas Schneider, Senior ECM/AI Consultant, on the challenges organizations will face regarding artificial intelligence by 2026.
In this article, he discusses what organizations need to do to integrate AI into the core of their processes: maturity, governance, and data quality.
On the need to move beyond mere individual experimentation, he explains:
“Today, artificial intelligence is a tool for improving individual productivity. Language models make it easier for all of us to find information, produce content, or perform analyses. The challenge is to move beyond this individual use. At the organizational level, we must move beyond the experimentation stage by defining strategies that enable artificial intelligence to become a driver of operational transformation.”
He then explains what truly “AI-ready” data management involves:
“This requires significant upfront work, with governance rules that ensure the production of high-quality data. The goal is to avoid ‘garbage in, garbage out’ scenarios, where poor-quality data leads to erroneous results.”
The article paints a picture of AI in business by 2026: moving from individual experimentation to operational transformation, relying on autonomous agents, robust governance, and reliable data. It also addresses the challenges of data sovereignty and cost control, with different approaches depending on the size of the organization—large corporations capable of end-to-end implementation, and SMEs focusing on targeted use cases and SaaS solutions like watsonx.
To learn more, read the full article on ITnation: https://itnation.lu/news/en-2026-lia-sintegrera-davantage-au-coeur-des-processus-des-entreprises/