The impact of generative AI on data management

The data management and analytics landscape is undergoing a major transformation with advances in generative AI in data management and better leveraging unstructured data.

As businesses strive to unlock the full potential of their data, the focus is shifting to building a robust data foundation and integrating new AI-driven applications. According to Drew Clarke (pictured), general manager and executive vice president of the Data Business Unit at QlikTech International AB, this evolution is not only improving productivity, it's also changing how organizations perceive and leverage data.

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

“The same infrastructure and discipline required to ingest data into applications and analytics is the foundation for new use cases like what we're describing as generative AI,” Clark says. “It's a new means of consumption that requires a data pipeline. We've done it, we've worked on it, and we've integrated it all.”

Clark spoke with theCUBE's John Farrier and Shelley Kramer at Qlik Connect during an exclusive broadcast from SiliconANGLE Media's livestreaming studio, theCUBE. They discussed the importance of a solid data foundation, integrating AI with unstructured data, data privacy and trust responsibilities, and the future of data management with AI-driven applications. (*Disclosure details below.)

Leveraging generative AI in data management

One of the key takeaways from the event was the emphasis on the importance of a strong data foundation, such as QlikTech's Talend Cloud. This robust foundation is essential for managing the vast amounts of data generated from a variety of sources, from department store transactions to complex enterprise systems. Moving and managing this data efficiently is crucial to delivering timely, accurate insights, Clarke explained.

“When people think about unstructured data, a lot of people say, 'That's X or Twitter or email,'” he says. “But when you think about all the documents and everything that companies generate, structured data is underwhelming. Being able to leverage that and access it and provide it is a huge boost for us.”

Going forward, the data management landscape will become more integrated with AI, creating new opportunities and challenges. As organizations continue to experiment with generative AI, Clark says the focus will be on building trust in these new systems and ensuring they deliver accurate, valuable insights.

“There's a lot of experimentation going on, and like any other data science or machine learning cycle, there's budgets set aside for it,” Clark says. “So if you're going to run your own private generative AI, where do you run it? Qlik Cloud helps because once you've run the experiment, the next question is, do you have the right data that you can trust going in there? Our data supply chain fits right in there.”

Below is the full video interview, which is part of a story about Qlik Connect from SiliconANGLE and theCUBE Research.

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

Photo: SiliconANGLE