IBM is also offering private previews of Context in watsonx.data that adds an open, federated context layer to help enterprise AI reason over business data, watsonx.data GPU-accelerated Presto that, the company said, “showed the potential to significantly reduce the cost of running certain workloads and processing time on large enterprise datasets in internal benchmark testing with Nvidia.” In addition, an IBM Z Database Assistant provides an AI-powered workspace to monitor performance, provide automation, and optimize configurations for Db2 and IMS databases across IBM Z environments.
In public preview, IBM announced HCP Terraform powered by Infragraph to offer unified infrastructure visibility.
The IBM Concert platform, also available in public preview, will serve the automation arm of the strategy. It provides a single view across applications, infrastructure, and networks without forcing companies to replace existing tools.
Finally, on the hybrid front, the company announced the general availability of its Sovereign Core.
Sanchit Vir Gogia, chief analyst at Greyhound Research, sees the new focus not so much as a group of products but as an “accountability architecture”.
“IBM’s AI Operating Model should be read less as another AI product bundle and more as IBM naming the problem now sitting at the centre of enterprise AI: accountability,” he said. “Large organizations are not short of AI tools. They are short of ways to govern what those tools do once they begin acting across data, workflows, applications, infrastructure and regulated environments. That is the real shift here. The market has spent two years proving that AI can be useful. The next test is whether AI can be made auditable, costed, secured, reversible and trusted inside the messy estates where enterprise technology actually lives.”
