Global report finds organisations overlook huge blind spots in their AI overconfidence
Despite firm belief in AI plans, businesses’ fragmented AI strategies and execution that overlook end-to-end lifecycles will not deliver successful outcomes Organisations are failing to understand the compute and networking demands across the end-to-end AI life cycle, with fewer than half of IT leaders admitted to having a full understanding of what the demands of the various AI workloads across training, tuning and inferencing might be. While data management was labelled as one of the most critical elements for AI success, only 7% of organisations can run real-time data pushes/pulls and 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. In a research report commissioned by Hewlett Packard Enter...