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Remaining curious about the future of Gen AI

Remaining curious about the future of Gen AI



Ask any business leader and they’ll say they’re ready to leverage generative AI to find efficiencies, gain a productive edge and drive innovation. But dig under the surface and many are realizing their underlying data is not ready. In fact, our annual survey of UK chief data officers (CDOs) shed some light on the challenges facing early generative AI adopters with the quality of domain-specific data for training and fine-tuning of large language models (LLMs) (40%) and quality of data (38%) emerging as issues.

Before businesses can even begin to harness generative AI to transform their business, they need the right data foundations underneath. However, it’s clear organizations face serious challenges accessing reliable, trusted data, with our study showing one-third of CDOs lacking a complete view and holistic understanding of their organization’s information. Without this view, it’s near impossible for a business to develop a fully formed generative AI strategy.

Siddharth Rajagopal

Chief Architect EMEA-LATAM at Informatica.

The technical bridge



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