Magic beats magic, AI data requires AI solutions

According to the "State of Unstructured Data Management" survey commissioned by Kompprise, artificial intelligence has become the main data management challenge facing IT and business leaders

According to the research results, most companies Employees are allowed to use generative AI technology, but two-thirds of companies (66%) are concerned about the data governance risks it may pose, including privacy, security and lack of data source transparency in vendor solutions

The “State of Unstructured Data Management” survey, commissioned by data management vendor Kompprise, gathered 300 responses from companies with more than 1,000 employees in the US and UK. Responses from IT and business decision-makers.

Although only 10% of organizations ban employees from using generative AI, most are concerned about the ethics, bias, or inaccuracy of the output, as well as the leakage of company data into the vendor's AI system

To address these challenges while also finding competitive advantage from AI, the study found that 40% of leaders are taking a multi-pronged approach to reduce the risk of unstructured data in AI, including storage, data management and security tools, and the use of internal working groups to oversee the use of AI.

The biggest unstructured data management challenge leaders face is “Moving data without disrupting users and applications” (47%), but this is closely followed by “Moving data for AI and cloud service” (46%).

“Generative AI raises new questions about data governance and protection,” said Steve McDowell, principal analyst at NAND Research. “Research shows that IT leaders are struggling to rapidly roll out generative AI solutions. It is a difficult challenge that requires the adoption of smart tools." Rewritten content: Steve McDowell, principal analyst at NAND Research, points out that generative artificial intelligence raises new questions about data governance and protection. IT leaders are struggling to balance the responsibility to protect enterprise data while rapidly rolling out generative AI solutions, research shows, but this is a difficult challenge that requires the adoption of intelligent tools

"IT leaders are struggling to Shifting focus to leveraging generative AI solutions, but they want to be restrained in doing so," Kumar Goswami, CEO, Kompprise, added, "Data governance for AI requires the right data management strategies, including across data Visibility into storage silos, transparency into data provenance, high-performance data mobility and secure data access.”

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