SQream and Hitachi Vantara: Breaking Boundaries - GenAI Takes on Structured Data

The data analysis landscape is on the precipice of a paradigm shift. Generative AI (GenAI) promises revolutionary insights, but traditional systems struggle to feed its insatiable appetite for well-structured data. Imagine GenAI as a high-powered engine – it needs meticulously organised fuel to reach its full potential.In this episode of the EM360 Podcast, Analyst Christina Stathopoulos guides Deborah Leff (CRO at SQream) and Jason Hardy (CTO, AI at Hitachi Vantara) as they dissect:The Bottlenecks of Traditional SystemsUnlocking GPU PotentialFueling Insights with Structured DataFaster Time to InsightsThis episode goes beyond theory, exploring real-world examples (like a company querying a staggering 64 quadrillion rows) It showcases the potential for SQream and Hitachi Vantara to empower organisations to make data-driven decisions with unprecedented speed and accuracy.

Om Podcasten

In today’s rapidly-changing technological environment, data offers new ways for business to improve or even completely transform business models. But with this rapid change, it’s difficult to separate hype from reality and determine what practical steps can show value in real-world implementations. In this podcast series, we set out to ask, how is Data transforming business? Expect to hear opinions from leading tech vendors and the people who rely on data for day-to-day business such as Barclays Bank, Mastercard and DS Virgin Racing Formula E Team.