Generative AI is more connected to the world of business intelligence and data analytics than any other area of enterprise IT technology. This episode of the Tech Field Day podcast, recorded prior to Qlik Connect 2026, features Brendan Grady of Qlik joining Brian Booden and Gina Rosenthal to consider how this market is advancing. Although we started talking about agentic AI over a year ago, it is still quite rare to see impactful agents deployed in business processes and we expect to hear more about this at the event. We are also talking about data quality again, especially in light of AI applications, which are both users and producers of data. The goal of many is to use AI to help extract value from various data sources, structured and unstructured, and Qlik is well-positioned to achieve this. Join Qlik and Tech Field Day at Qlik Connect in Orlando, Florida in April!
Qlik Answers and the Unstructured Frontier: What a Printer Assistant Taught Me About AI in Practice
In this article, Brian Booden explores how a simple printer assistant leveraging AI technology illuminated the broader applications of unstructured data handling in the enterprise environment. Booden discusses Qlik Answers’ capabilities in harnessing unstructured data, pushing forward the boundaries of what businesses can achieve with AI-driven analytics. This was part of a sponsored series of articles for Qlik at Techstrong AI.
There’s a Gulf Between Storage and AI
There is a significant gap between storage companies and their ability to effectively support AI infrastructure. In this episode of the Tech Field Day podcast, recorded during the AI Data Infrastructure Field Day 1 in Santa Clara, host Stephen Foskett and guests Kurtis Kemple, Brian Booden, and Rohan Puri explore the evolving relationship between storage and AI. The discussion highlights a significant gap between storage companies’ current capabilities and the demands of AI applications. While storage vendors are pivoting to support AI, many lack deep AI expertise, often focusing on cost and efficiency rather than offering integrated, AI-specific solutions. The panel emphasizes the need for storage companies to move beyond being mere data repositories and instead develop end-to-end solutions that address AI workflows, data preparation, and metadata management. They also stress the importance of education, partnerships, and hiring AI specialists to bridge the knowledge gap and drive innovation. The conversation underscores the early stage of this convergence, with a call for clearer strategies, open standards, and more cohesive integration between storage and AI to meet the growing demands of data-driven applications.
Data Infrastructure Al Value Creation: Enhancing AI Outcomes
In this LinkedIn Pulse article, Brian Booden explores the critical interdependence between data infrastructure and AI value creation. He discusses how robust data management systems and strategies significantly enhance the efficacy of AI outcomes. Booden also provides insights on optimizing data environments to maximize AI-driven innovations and performance. Read more in this article, inspired by the Solidigm presentation at AI Data Infrastructure Field Day 1.
Brian Booden
Brian is owner of DataGlow IT, and is a globally renowned Qlik expert, with over 20 years experience in the data industry.