Publicly accessible Generative AI platforms have radically transformed the business landscape in the short time since their 2022 launch. Already, McKinsey data shows that 60% of all AI-enabled organizations are using Generative AI platforms. What’s more, businesses are investing more to catch up to firms with leading AI-based growth strategies.
McKinsey survey shows senior business leaders are struggling to fully capitalize on Generative AI capabilities. Despite calls from the rest of the C-suite to harness new tech investments and empower business users, CDOs face software with lax security controls and data governance measures as well as inaccurate outputs from low-quality or disconnected data sources within LLMs. As a result, CDOs are realizing that Generative AI on its own doesn’t work.
Rather, they need a comprehensive solution that doesn't compromise on data security while also delivering reliable business intelligence that enables productivity increases and fast ROI.
That’s why, in this whitepaper, we’re looking at how organizations can embrace AI solutions safely through active metadata management and data fabric architecture.
Read on to learn more and discover the future of enterprise Generative AI adoption.
