FEATURE: SKILLS GAP and drive innovation, while 72 % say leveraging their organisation’ s proprietary data is key to unlocking the value of generative AI.
Many of the key challenges centre on handling data at scale while maintaining strict security. Delivering accurate answers depends on having consistent access to fresh, reliable and customer-specific information. At the same time, it is crucial to ensure that sensitive data never leaks to unauthorised users or LLMs, keeping security and privacy airtight.
Enterprises must also trust that the data powering their AI is always up to date, so responses remain relevant and grounded. Finally, as adoption grows, GenAI solutions need to easily scale to support high numbers of users and process large volumes of enterprise data – all without sacrificing speed or reliability.
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