Ask The Expert: Is Your Data GenAI-Ready?

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Presented by

Jean-Luc Chatelain Senior Managing Director, Verax Capital Advisors & Simon McVeigh Global VP, Sales Engineering, K2view

About this talk

GenAI models deliver the most value when combined with organizational data. Many organizations prefer to extend GenAI with Retrieval-Augmented Generation (RAG) frameworks because it allows them to ground LLMs with enterprise data in a simple and cheaper way. However, 95% of GenAI pilot project that utilize RAG are not utilizing operational data, for example customer data, because their data is not “GenAI ready”. Join our experts as they address critical considerations like real-time data accessibility at scale, security and governance of the data, and cost considerations. Join 2 industry leaders as they discuss: • Why enterprises prefer RAG • The challenges around making your data GenAI-ready • Poor data quality • Lack of change management • Trustworthy data • How to complete your RAG with structured data
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At K2View, we believe that every company should be able to liberate and elevate its data to deliver the most personalized and profitable customer experience in its industry, while being innovative and radically agile. With K2View, companies manage data in a whole new way, using a business lens: they create data products that continually sync, transform, and serve data from siloed source systems – delivering a real-time, holistic view of any business entity to any data consumer. Our Data Product Platform fuels operational and analytical workloads, at enterprise scale. It deploys as a data fabric, data mesh, or data hub - in an on-premises, cloud, or a hybrid architecture - in a matter of weeks, and adapts to change on the fly. The most data-intensive companies in the world, including AT&T, Verizon, American Express, Vodafone, and Hertz trust K2View Data Product Platform for their operational use cases - spanning Customer 360, cloud migration, test data management, data tokenization, and legacy application modernization.