Data Analytics for AI: Recent Acquisitions and Announcements from Qlik

The artificial intelligence boom is driving a cultural shift in solutions companies. For QlikTech International AB, this shift has spawned strategic startup acquisitions, industry partnerships, and feature announcements in the area of ​​data analytics for AI.

Data Analytics for AI: Qlik Connect Event Recap with theCUBE Analyst Panel.

“When we talk about how to accelerate AI adoption, it’s not possible to look for a simple button,” said Shelley Kramer (photo, in the middle), senior analyst at theCUBE. “There are five key steps you need to take, namely bringing together all your data from any source, any target. Data integration is therefore essential. The ability to trust your data is fundamental. You must be able to provide access to this reliable data to everyone in the organization who needs it.

Kramer spoke with fellow analysts John Furrier (right) and Savannah Peterson (left to Qlik Connect, during a news segment on theCUBE, SiliconANGLE Media’s live streaming studio. They recapped key announcements from the event and discussed the company’s focus on AI and broader data analytics. (*Disclosure below.)

Data Analytics for AI: Strategic Announcements and Acquisitions

The data industry is witnessing immense changes due to the current popularity of the AI ​​generation. To anticipate this radical change, Qlik has taken a few steps strategic stepsincluding the acquisition of generational AI-based response-as-a-service solutions company Kyndi Inc.

“The other notable thing about Qlik is the acquisition of Kyndi,” Furrier said. “They were part of that class of ChatGPT, but they did it with data where ChatGPT was both more chatbot and user experience. Kyndi was a nice little addition to the Qlik wallet. They already had Attunity, which we talked about. They analyzed the movement of data and everything they had. So Qlik assembled the spare parts.

Another hot topic area is governance, a crucial element in ensuring data quality and usability. With the AI ​​generation, data governance has become even more critical, ensuring that data is managed and used responsibly, according to Furrier.

“Data governance is the hottest thing because it’s the most important data requirement,” he said. “If you want data to be freely available, whether it’s vertically integrated or horizontally scalable, you need governance. You have to know what it is and be able to explain it. My takeaway is that the data business is a lot like the early days of cloud native – some of the same conversations.

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