The report also found that organizations are failing to understand the computing and networking demands across the end-to-end AI lifecycle.
Ashutosh Mishra New Delhi
A recent study commissioned by Hewlett Packard Enterprise (HPE) found that even though organizations around the world recognize the importance of data management for successful AI performance, data maturity remains low. reported to be low.
According to the report, only 7 percent of organizations can perform real-time data push and pull to enable AI innovation and monetization of external data, and only 7 percent of organizations can set up data governance models and perform advanced analytics. Only 26 percent.
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Even more concerning, only 1 in 10 respondents say their organization can fully handle any of the critical stages of preparing data for use in AI models: access, storage, processing, and recovery. There were less than 6 people.
“Not only does this mismatch risk slowing down the process of creating an AI model, it also increases the likelihood that the model will provide inaccurate insights and result in a negative return on investment (ROI),” it said in a statement on Wednesday. This is stated in the report.
The report also found that organizations fail to understand the compute and networking demands across the end-to-end AI lifecycle, and only acknowledge that they understand the demands of different AI workloads across training. Less than half of IT leaders are Tuning and reasoning may.
Building on the Benefits of AI, a report that surveyed more than 2,000 IT leaders across 14 countries, found that while global efforts in AI show increased investment, companies are slowing down on AI outcomes. We found that we were overlooking important areas that affected our ability to succeed. These include low data maturity levels, potential flaws in networking and compute provisioning, and important ethics and compliance considerations.
Despite legal and compliance departments playing an essential role in artificial intelligence-related activities, the report found that 22% of IT leaders do not involve legal teams at all in discussions about their business's AI strategy.
“While these findings clearly demonstrate an appetite for AI, they also highlight very real blind spots that could stall progress if a more holistic approach is not followed.” said Sylvia Fuchs, vice president of HPE Aruba Networking.
“For example, mismatches around strategy and departmental engagement can help organizations leverage key areas of expertise, make effective and efficient decisions, and provide integrated solutions that harmoniously benefit all areas of the business. It can hinder securing an AI roadmap,” she added.
