Around 44% of IT leaders believe their organisations are fully set up to realise the benefits of AI but many organisations are not yet ready for effective and safe AI deployments, according to a research report commissioned by Hewlett-Packard Enterprise.
“We are seeing critical blind spots in their AI strategies, including overlooking ethics and compliance, that could lead to serious consequences on the business. As AI investments continue to soar, it’s important that organisations devise a holistic AI roadmap that addresses these blind spots to ensure AI success and optimise their ROI,” Joseph Yang, general manager, of HPC and AI, APAC, and India at HPE, said.
Low data maturity
The research revealed that only 7% of organisations can run real-time data pushes/pulls to enable innovation and external data monetisation. Over a fourth (26%) of organisations surveyed have set up data governance models and can run advanced analytics.
IT leaders said their organisation is capable of handling any of the stages of data preparation for use in AI models – from accessing (59%) and storing (57%) to processing (55%) and recovering (51%).
End-to-end AI lifecycle
Most IT leaders believe their network infrastructure can support AI traffic (93%), and their systems have enough flexibility in compute capacity to support the unique demands across different stages of the AI lifecycle (84%).
Connections, compliance, and ethics
IT leaders surveyed describe their organisation’s overall AI approach as “fragmented” (28%), created separate AI strategies for individual functions (35%), and created different sets of goals altogether (32%).
Around 22% of organisations exclude legal teams in their business’s AI strategy conversations while legal/compliance (13%) and ethics (11%) were considered the least critical for AI success.
