The landscape of data management and analytics is undergoing a significant transformation, driven by advancements in generative AI in data management and the effective utilization of unstructured data.

As businesses strive to harness the full potential of their data, the focus has shifted to creating robust data foundations and integrating new AI-driven applications. This evolution is not only enhancing productivity, but also reshaping how organizations perceive and utilize data, according to Drew Clarke (pictured), general manager 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 you have to do about feeding data into an application or analytics, it’s that same foundation for the new use cases like you’re describing as generative AI,” Clarke said. “That’s a new consumption vehicle for needing that data pipeline. We’ve been doing it, working on it and … bringing it all together.”

Clarke spoke with theCUBE’s John Furrier and Shelly Kramer at Qlik Connect, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the importance of robust data foundations, the integration of AI and unstructured data, the responsibilities of data privacy and trust, and the future of data management with AI-driven applications. (* Disclosure below.)

Harnessing generative AI in data management

One of the key insights from the event highlighted the critical importance of a strong data foundation, as exemplified by QlikTech’s Talend Cloud. This robust foundation is essential for managing the vast amounts of data generated by various sources, from department store transactions to complex enterprise systems. Efficiently moving and managing this data is crucial for delivering timely and accurate insights, Clarke explained.

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

Looking ahead, the landscape of data management is set 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 that they deliver accurate and valuable insights, according to Clarke.

“What we see is a lot of experimenting going on. So similar to other data science or machine learning cycles … you’ve got budgets that have been put aside,” Clarke said. “This is why if you’re going to run your own private generative AI … where do you do it? Where Qlik Cloud comes in is once you experiment, then the next question is, do you have the trusted right data going into it? That’s where our data supply chain fits right into that.”

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

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

Photo: SiliconANGLE