The impact of generative AI in data management

The data management and analytics landscape is changing significant transformationdriven by advances in generative AI in data management and the effective use of unstructured data.

As businesses strive to harness the full potential of their data, the focus is now on building robust databases and integrating new AI-driven applications. This development not only improves productivity, but also reshapes the way organizations perceive and use data, according to Drew Clarke (photo), Managing Director and Executive Vice President of the Data Business Unit at QlikTech International AB.

Qlik’s Drew Clarke talks to theCUBE about generative AI in data management.

“The same infrastructure and discipline that you have to apply to feeding data into an application or an analysis, that’s the same foundation for the new use cases that you describe as generative AI,” Clarke said. “This is a new consumer vehicle that requires this data pipeline. We did it, worked on it and… put it all together.

Clarke spoke with the CUBEs John Furrier And Shelley Kramer has Qlik Connect, in an exclusive broadcast on theCUBE, SiliconANGLE Media’s live streaming studio. They discussed the importance of strong databases, the integration of AI and unstructured data, responsibilities around data privacy and trust, and the future of data management with AI-based applications. (*Disclosure below.)

Harnessing Generative AI in Data Management

One of the key lessons from the event highlighted the crucial importance of a solid database, as illustrated by Talend Cloud from QlikTech. This solid foundation is essential for managing the large amounts of data generated by various sources, from department store transactions to complex enterprise systems. Effectively moving and managing this data is essential to providing accurate and timely information, Clarke explained.

“When you think about unstructured data, a lot of people say, ‘It’s X, Twitter or email,'” he said. “But when you think about all the documents and everything that’s generated by a business, it dwarfs structured data. Being able to exploit it, access it and deliver it is a big tailwind for us.

Going forward, the data management landscape is expected to become even more integrated with AI, creating new opportunities and challenges. As organizations continue to experiment with generative AI, the focus will be on developing trust in these new systems and ensuring they provide accurate and valuable insights, according to Clarke.

“What we are seeing is that there is a lot of experimentation going on. It’s very similar to other data science or machine learning cycles…you have budgets that have been set aside,” Clarke said. “That’s why, if you’re thinking about running your own private generative AI… where do you do it? When Qlik Cloud comes into play, once you have experimented, the next question is do you have the right and reliable data? This is where our data supply chain fits perfectly.

Here’s the full video interview, part of SiliconANGLE and theCUBE Research’s coverage on Qlik Connect:

(*Disclosure: TheCUBE is a paid media partner for Qlik Connect. Neither QlikTech International AB, the sponsor of theCUBE event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE