In this insightful discussion at Qlik Connect 2025, Kristen Martin of SiliconANGLE and theCUBE engages with Adam Nunn, who leads digital strategy for the Q36.5 Pro Cycling Team. They explore the innovative ways Qlik's data solutions revolutionize professional cycling, emphasizing the synergy between technology and athletic performance.
Adam Nunn, with their expertise in digital strategy, provides an insider's view of how the Q36.5 Pro Cycling Team partners with Qlik to transform data into actionable insights. The conversation, hosted by theCUBE Research, reveals how cutting-edge analytics enhance team performance using strategies reminiscent of the "Moneyball" approach.
Key insights from the discussion include how Qlik acts as a pivotal partner, dubbed the "26th rider" of the cycling team, aiding in data-driven decision-making processes. According to Nunn, this partnership allows the team to excel beyond traditional budget constraints, showcasing the powerful intersection of technology and sports.
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Dan Potter & Dr Michael Bronstein
In this insightful discussion at Qlik Connect 2025, Kristen Martin of SiliconANGLE and theCUBE engages with Adam Nunn, who leads digital strategy for the Q36.5 Pro Cycling Team. They explore the innovative ways Qlik's data solutions revolutionize professional cycling, emphasizing the synergy between technology and athletic performance.
Adam Nunn, with their expertise in digital strategy, provides an insider's view of how the Q36.5 Pro Cycling Team partners with Qlik to transform data into actionable insights. The conversation, hosted by theCUBE Research, reveals how cutting-edge analytics enhance team performance using strategies reminiscent of the "Moneyball" approach.
Key insights from the discussion include how Qlik acts as a pivotal partner, dubbed the "26th rider" of the cycling team, aiding in data-driven decision-making processes. According to Nunn, this partnership allows the team to excel beyond traditional budget constraints, showcasing the powerful intersection of technology and sports.
DeppMind Professor of AI & Qlik AI Council MemberUniversity of Oxford
At Qlik Connect 2025, theCUBE’s Kristen Nicole Martin talks with Dan Potter, VP of product marketing at QlikTech International, and Michael Bronstein, DeepMind professor of AI at the University of Oxford and Qlik AI Council Member, about the future of data and AI. Potter brings the enterprise lens, while Bronstein shares dual insights from DeepMind and academia. Together, they map out what’s next for trusted, scalable innovation.
Bronstein reflects on his role with the Qlik AI Council, offering a unique bridge between academic research and applied AI s...Read more
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What is the purpose of the AI Council and what role do its members play in shaping the future of the company?add
What advancements in data management and AI technologies is the speaker discussing and how do they align with organizations' goals of becoming more productive?add
>> Hello, data fans. We are back on the show floor at Qlik Connect. We've got two very special people here. We're going to hear from Michael Bronstein, who is not only a professor at Oxford, teaching machine learning, but he is also on the AI Council with Qlik. And over here we have Dan Potter. He's the VP of Product Marketing, and they're going to be talking to us about not only the amazing things happening here today at the conference, but what's on the horizon for Qlik and the world of data. So Michael, we're going to start with you. How have things been? I believe this is your second year on the council and your second time here at the conference.
Dr. Michael Bronstein
>> That's right.
Kristen Martin
>> It's buzzing. The community is amazing. How have things been going today?
Dr. Michael Bronstein
>> It's very interesting. So I like very much the keynote, and it's interesting to see the progression, so the milestones and the roadmap that was announced last year by the CEO. Now we can see that it's taking flesh and bones and also happening very fast.
Kristen Martin
>> It's very fast indeed. And I'm sure you can speak a little bit about the rapidity of what's happening in data.
Dr. Michael Bronstein
>> Oh, yeah. So I'm part of the data team, and we're very excited. Today, we launched the Open Lakehouse, and one of the drivers has been AI and the use of AI and trying to build more responsible AI by building data products and trust on top of that. So it's been a great event. Great keynote this morning.
Kristen Martin
>> So trust is a big topic here.>> Trust is, yes.
Kristen Martin
>> Yes, absolutely. And we're talking a lot about the importance of trust in AI and data. Do you want to lead a little bit about that?>> Sure. Well, what I'll do is I'll defer first to you, Michael. Tell us a little bit about how you're helping us, and then I'll talk about the trust score.
Dr. Michael Bronstein
>> So the AI Council, it's basically a strategic advisory board. So we have multiple experts. So myself, I am a scientist, so I develop new AI algorithms in my job at the university, but also in collaboration with different companies. So I also spend some time in the industry. We also have other experts that come from the legal background, ethics, responsible AI. So it's a mixture of expertise that together contribute to setting the course and outlining how this field is going to evolve and what the company should be looking into in the future.>> The council has been very helpful for us, giving us direction. And from a product perspective, one of the things that we've done is we've launched the trust score for AI, which helps to ensure that customers' data is ready for AI. So we look at different parameters of the data, obviously data quality, but we look at things like the diversity of data, the accessibility of that data, and is it ready to be used in AI in a responsible manner.
Kristen Martin
>> And I'm certain that helps with encouraging more adoption.>> Without a doubt, because that trust is one of the big barriers. So if people are confident with the data that they're using for AI, that removes one of those important barriers.
Kristen Martin
>> And maybe something you can also speak to is that's a big challenge. We're trying to encourage more adoption, particularly with enterprise organizations, but oftentimes we see that even when enterprises get interested in adopting AI, they run into plenty of challenges for a variety of reasons. And maybe you could speak a little bit to why there might be still so much interest, still a lot of struggle.
Dr. Michael Bronstein
>> Well, so AI is a transformational technology. So it potentially can change dramatically the way that we do certain processes that have been unchallenged for decades, if not centuries, in some cases. The question, of course, is it requires a shift in the mindset of the organizations. It can potentially enable completely new business models that are currently maybe nobody's even thinking about. So we are probably at the very beginning of the road that can move very fast and move with huge magnitude with huge impact. And some of the challenges are the organizations are not necessarily ready for AI. So the way that, for example, data is produced is not necessarily amenable to machine learning. Some of the problems are not necessarily amenable to machine learning. So there is always this necessity to find the right tools and the right problems. And I think the way that Qlik operates, it makes this process significantly easier and much more intuitive. And if in the past you need to hire, for example, software engineers that would be able to code, nowadays, it's almost frictionless, so there is almost no need to do coding. So this kind of technology democratizes access for people that do not necessarily have these right skills.
Kristen Martin
>> And being on the role of academia, I'm sure being here at Qlik Connect is a great opportunity for you to pick up on some of those trends. What are some of the things that you've been hearing, maybe on the show floor, hallway chatter, some things of interest?
Dr. Michael Bronstein
>> So a lot of cool applications. Well, there is probably one of the highlights on the show floor here is the application in bicycle racing, with a very cool exhibit where you can actually try it. And it's, well, one of the examples where, maybe not very intuitive, but actually there is a lot of data that can be used to help the cyclists to win competitions. I know that one of my colleagues at DeepMind, for example, they are working with football clubs, so they try to use machine learning to improve the strategy. It has been used in some probably least expected fields of application. So I think it's really transformative technology that can be applied across the board.
Kristen Martin
>> And I hope you got a chance to go-
Dr. Michael Bronstein
>> Not yet, but I would like to.
Kristen Martin
>> There's a line->> I know....
Kristen Martin
>> of people to get on those bikes over there.>> I know. It's a great application.
Kristen Martin
>> We had a chance to go over there and do an interview at that booth as well. But what are maybe some of the trends and things of interest that you're seeing today?
Dr. Michael Bronstein
>> Well, I definitely need to do the bicycle. For me, again, the move to AI and the shift to people trying to understand how to manage data and make it accessible. So our launch today around an Iceberg-based Open Lakehouse, I think, is really going to help organizations move all kinds of data, make it accessible. Adding the quality and trust on top of that dataset, that's going to be great. And the other thing, the response this morning to our announcement around the agentic experience and how it applies both to the data side rapidly building out pipelines. You talked about democratization of data. It's the democratization of the creation of data and the consumption of the data. So I think we're really moving in a great direction, and it aligns well with organizations trying to use AI to become much more productive and make much better decisions through AI.
Kristen Martin
>> And what do you think may be some of the coolest things we can expect to see into 2025, maybe even next year?
Dr. Michael Bronstein
>> So for us, there's this whole move to agentic on the data side. Expect to see a wide range of different data agents starting to appear. So Qlik Answers really becomes that single interface across the Qlik Cloud platform. And then we expose different agents, both on the analytics side and the action side, but also on the data side. How to unlock data, how to ensure data quality, transformation agents, so really doing that full end-to-end pipeline in a more autonomous way.
Kristen Martin
>> Well, Dan, Michael, thank you so much for your time today. Be sure to keep it locked to thecube.net for more coverage and also check out our news coverage on siliconangle com.
Kristen Martin