Enterprise AI does not have an intelligence problem. It has an understanding problem. Artificial intelligence is getting smarter at an astonishing pace. Every few months, we see more capable models, stronger reasoning, and increasingly autonomous AI agents. Companies are investing billions into AI infrastructure, models and data, with global corporate AI investment reaching $252.3 billion and showing no signs of slowing down. Yet despite this progress, enterprises are still struggling to turn… [...]
AI portfolios are expanding far faster than the ability to govern them across enterprises. Most organizations run a contested field of platforms, each claiming to be the “primary” AI layer; few co [...]
A single fake error report hijacked Claude Code in controlled testing — the agent ran the attacker's code with the developer's full privileges, and not one alert fired. EDR, WAF, IAM, and [...]
Presented by Apptio, an IBM companyWhen a technology with revolutionary potential comes on the scene, it’s easy for companies to let enthusiasm outpace fiscal discipline. Bean counting can seem shor [...]
Semantic intelligence is a critical element of actually understanding what data means and how it can be used.Microsoft is now deeply integrating semantics and ontologies into its Fabric data platfor [...]
The tools are available to everyone. The subscription is company-wide. The training sessions have been held. And yet, in offices from Wall Street to Silicon Valley, a stark divide is opening between w [...]
For decades, procurement has been the back office that enterprise software forgot. Billions of dollars flow through vendor negotiations, purchase orders, and supplier communications every year at the [...]
Presented by SAPEnterprise AI has moved from experiment to execution, and that shift is beginning to show real returns. The SAP Value of AI Report 2026, produced with Oxford Economics and based on a s [...]