Transforming the Business with Generative AI: The Qlik CSO’s Perspective

The data and artificial intelligence sector is going through a phase of transformation, driven by the integration of generative AI and advances in data analysis.

This transformation is characterized by the ability to measure and analyze large amounts of data in real time, creating opportunities for businesses to optimize their processes and drive innovation. The focus is now on leveraging diverse, high-quality data to inform decisions and generate actionable insights. As these technologies evolve, organizations must adapt by ensuring data quality, trust and accessibility to fully leverage their data. harness the power of AI.

TheCUBE on the Qlik Connect set.

“It’s a moment that we’ve really been waiting for for 30 years,” said James Fisher (photo), Strategy Director of QlikTech International AB. “We need to optimize our processes, optimize our data, establish a good foundation and then we can achieve great things.”

Fisher spoke with CUBE Research John Furrier And Shelley Kramer has Qlik Connect, in an exclusive broadcast on theCUBE, SiliconANGLE Media’s live streaming studio. They discussed how the integration of AI generation and advances in data analytics are revolutionizing the industry, providing unprecedented opportunities for organizations that manage their data effectively. They also discussed Qlik’s forward-thinking strategy. (*Disclosure below.)

The evolution and impact of generative AI

Generative AI is not just a technological advancement; this represents a paradigm shift in how organizations approach data and analytics. This shift is important because today’s landscape offers unprecedented opportunities for those who can effectively manage and leverage their data.

“We’ve taken this wave of big data to the cloud, and now everything that’s happening around AI and generative AI is a huge opportunity,” Fisher said.

With this opportunity comes the challenge of going beyond simple data collection to ensure the data is accurate, reliable and actionable. Organizations must prioritize data quality and integration to realize the full potential of generative AI, according to Fisher.

“We realized as an industry that we had been through this wave of big data, that we had moved large volumes of data, but now the goals have changed,” he said.

The focus is now on data quality and the integration of structured and unstructured data to enrich decision-making processes. This shift requires a focus on practical applications and outcomes, rather than treating data projects as isolated scientific experiments, Fisher emphasized.

Qlik’s strategy and vision for the future

Qlik’s strategy aims to enable organizations to effectively leverage their data, regardless of its location. This approach ensures that businesses can address real-world challenges with data-driven solutions.

“At its core, it’s about helping customers work with data, wherever it is, to solve real-world problems,” Fisher said. ” It’s easy to say. The question is what should we do to enable this?

This approach is based on a platform that offers best-in-class capabilities, designed to be both independent and integrated, providing flexibility and overcoming technical debt, Fisher added. An important aspect of Qlik’s strategy is its commitment to open, agnostic data support, which Fisher describes as a “huge ecosystem benefit for Qlik.”

By supporting data across various cloud platforms, Qlik ensures its customers can confidently navigate the changing landscape of AI and data analytics. This adaptability is crucial as AI strategies and technologies continue to rapidly evolve, Fisher explained. The importance of data diversity and its impact on generating high-quality insights is also critical.

“The more you can look at that wide variety of sources, put them together, ask questions of that whole broad base, then I think the more quality information you’re going to get and the more confidence you’re going to have,” Fisher said. said.

This perspective highlights the value of incorporating diverse data sources to improve decision-making and drive innovation. By integrating diverse data sets, organizations can gain more comprehensive insights and uncover new growth opportunities.

Looking ahead, Qlik intends to continue to respond to industry changes and anticipate future developments. The company’s proactive approach ensures it will remain at the forefront of technological advancements, according to Fisher.

“We have an incredible vision of where we want to go,” he said. “Platforms are evolving, technology is evolving, and AI is evolving very quickly. We must remain on our guard. »

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