In 2025, preventing risks from both cyber criminals and AI use will be top mandates for most CIOs. Ransomware in particular continues to vex enterprises, and unstructured data is a vast, largely unprotected asset. AI solutions have moved from experimental to mainstream, with all the major tech companies and cloud providers making significant investments in building turnkey GenAI and AI solutions for enterprise customers. Chief experience officers want to leverage AI, yet not at the cost of damaging customer relationships, reputation, and market share with irresponsible use. IT professionals responsible for data and infrastructure need to be prepared as employees start sending company data to AI. The following predictions focus on the urgency to get AI data governance right – from systems and policies to IT skills.
Systematic data ingestion for AI will be the first data storage mandate
AI mania is overwhelming, but so far, enterprise taiwan rcs data participation has been largely led by employees who use GenAI tools to assist with daily tasks such as writing, research, and basic analysis.
AI model training has been primarily the responsibility of specialists, and storage IT has not been involved with AI. But this will change swiftly in the coming year. Business leaders know that if they get left behind in the AI Gold Rush, they may lose market share, customers, and relevance. Corporate data will be used with AI for RAG and inferencing, which will constitute 90% of AI investment over time. Everyone touching data and infrastructure will need to step up to the plate as everyday employees start sending company data to AI. Storage IT will need to create systems for users to search across corporate data stores, curate the right data, check for sensitive data, and move data to AI with audit reporting. Storage managers will need to get clear on the requirements to support their business and IT counterparts.