Global report finds organizations overlook huge blind spots in their AI overconfidence
HPE News, Tuesday, April 30th, 2024
Despite belief in plans, businesses' AI strategies, execution for end-to-end lifecycles will not deliver successful outcomes
Organizations are failing to understand the compute and networking demands across end-to-end AI life cycle; fewer than half of IT leaders have full understanding of what the demands of the various AI workloads might be
Data management was labelled as one of the most critical elements for AI success, only 7% of organizations can run real-time data pushes/pulls; just 26% have set up data governance models and can run advanced analytics
Many businesses are adopting siloed approaches, with only 57% setting one single consolidated strategy
Despite the integral role of legal and compliance functions, 22% of IT leaders aren't involving legal teams in their business's AI strategy conversations at all