9:40 Webinar
Fiserv on Building at Enterprise Scale
Hear how Fiserv is thinking about scale, modernization, and the future of data infrastructure.
This webinar first aired on June 17, 2026
Click to View Transcript
We are living in interesting times. The playbooks are being rewritten, and I'm thrilled, by leaders who are focusing on infrastructure, AI, and data. And I'm thrilled to have one of those leaders here with us today. Please welcome Chief Technology Officer of Fiserv, Pete Kavikya.
Pete leads the global technology infrastructure organization for Fiserv, which powers billions of financial trac- transactions worldwide. Pete, thanks for being here. I know we're missing the, Knicks parade in New York City. So I appreciate it. That's how passionate I am about intelligent
data management. You know? But, but thanks, Pat. It's, it's great to be here in, Vegas with you and of course the, Everpure community. So Pete, it's a privilege to have you, and I know that you've played both a significant role in our government, in both cyber and now in financial services.
Before your twenty-two-year career in financial services, you sta- you served in the United States Secret Service leading complex cyber crimes, investigating and earning the Medal of Valu- Valor for your courageous actions during the events of nine eleven. Thank you for your service. Thank you. Thanks.
At Fiserv, your role as CTO spans across AI, data, and infrastructure, powering everything from digital banking to the Clover point-of-sales platform. Pete, as you look at the landscape for the rest of twenty twenty-six, what's the primary business and technology pri- pr- priorities and challenges you're navigating? I mean, think about what we do, right?
We serve this massive client base, millions of merchants, thousands of banks, credit unions, and of course the public sector, and it's really our priority to innovate for them. And historically, it's been about the transactions, right? Capacity, speed. But now it's about the real-time intelligence that comes from those transactions,
monetizable behavioral patterns, the ability to predict fraud, and of course, AI-driven use cases and embedded finance. But really, data is no longer the cost-driving byproduct. It's the revenue-driving product. And that's where things like Enterprise Data Cloud align for us.
Eliminating those silos into a single intelligent data platform builds us the foundation to support AI, analytics. It's resilient and, of course, secure and, and much more efficient. So really when you think about it, the future of payments won't just be determined by who moves money the fastest.
It's turning data into monetizable intelligence faster and with accuracy. And really, with our, you know, at, at Fiserv, our priority is to build that full stack modernization, starting with data center and infrastructure, which is being built to unlock the power of data and AI. And as Charlie mentioned, the hurdle has always been fragmentation.
You know, Pete, it's really interesting because it is about thinking differently about data fragmentation and how to build the right foundation. And you said it, going from expense to revenue is critical. What's been the core to our partnership between Fiserv and Everpure? Well, I mean, I, I think Everpure was a game changer for us.
we s- first started working together in twenty twenty really to begin the modernization of our storage estate, and at that time, we were in the old legacy cycle. Everybody knows, right? data locked in isolated silos, and it presented a tremendous challenge for us to unlock any of these use cases.
Today, we're working together to build the foundation for efficient data management across our diverse product set, and then in turn, laying the foundation for AI. We're really in a transformation moment, aren't we, Pete? Absolutely. It's amazing. Yeah, Everpure gives us that unified, resilient, high-performance data environment.
You know, we can now ingest, process, and feed massive amounts of data into AI models in real time without the extreme cost and, of course, migration delays that usually stall innovation. You know, the key is simplicity. The uptime is unbelievable and the non-disruptive upgrades. So when you match extreme performance and no migrations, that's a big deal for us.
You know, Pete, no more migrations for people in this audience is music to their ears- I know for sure. So let's talk about AI data, AI factories, inference outcomes. So Pete, how do you and Fiserv think about all of this? Well, if you look all around us, AI is becoming embedded throughout
financial services. Things like fraud scoring, risk analysis, and even client service and experience use cases. Also, developer productivity is a huge focus for our company. And then of course, the use of agentic technology to automate various operations through technology and even in the business areas.
So the real challenge is operationalizing data workflows, not building models. The conversation has shifted from algorithms to data gravity, and the winners won't necessarily have the best models. They'll have the best foundational data sets to ensure accuracy. So wait- Accuracy is the key.
Wait a minute, Pete. That, that's really, really important. So we're all thinking about AI models, and you just said it. It really is about the data. So talk to us a little bit about that.
Well, it's all about the accuracy of the data. I mean, this is an era where every financial interaction becomes intelligent. Think about that. Across payments, banking, lending, fraud, loyalty, and all that commerce converging into an AI-enabled ecosystem. And the companies that succeed won't simply have the best applications.
They'll have the most resilient and trusted data foundations beneath those applications. And Everpure has positioned itself around this AI-ready infrastructure. Thinking about FlashBlades, Exa, Enterprise Data Cloud, and high-performance data pipelines so you can train in, for training inference workloads. And Fiserv is actively moving towards that unified data platform on Everpure.
We can improve our data accessibility and ensure it's secure, governed, and AI-ready. And if you can unlock all of this, it creates a massive potential for business growth. You can deliver those real-time insights and build new AI ana-analytics use cases, and then unleash a whole new value stream for our clients. Our clients want access to more data to succeed.
Everpure helps us give it to them. So Pete, what you're saying is that you're expecting Everpure to deliver the innovation in flash and storage, but it really is about the unified data layer. Hundred percent. So our move to Enterprise Data Cloud is something that we've worked on together, and we've been through that journey.
So as you think through being in a global organization, clearly data centers and infrastructure is taking top of mind. How do you think about sustainabilig- susti-sustainability, energy, and simplicity as you think about incorporating all of this? Well, sustainability is super critical.
I mean, we're always trying to ensure we're taking up smaller data center footprints, fitting more into the space and then our power usage. And then simplification is a big part of that. It, it helps you to be cleaner and more efficient when you're trying to accomplish these things. I mean, complexity is one of the biggest
obstacles to innovation. If you look at any company like ours or anywhere else, these large enterprises have multiple clouds, multiple platforms, multiple data stores, and operating models. Sounds messy, Pete. So as you look into the, to the horizon, how are you solving this?
Well, there's a huge focus on cloud-native architectures. More with containers because they're lightweight, flexible, and portable. And to fuel that, we're leveraging the power of Portworx and Portworx backup across multiple clouds in our on-prem environments. We're also expanding our OpenShift footprint.
And when it comes to simplicity, we're super excited about the automation potential of Everpure Fusion. 'Cause at Fiserv, we're focused on helping financial institutions and merchants move money, create value, and build trust. None of that happens without a modern data foundation, and that's what we're focused on. Pete, impressive to hear how Fiserv's AI-ready data foundation and the blueprint for modern
financial services infrastructure, but as you said, you're touching lots of verticals. We're incredibly grateful to Fiserv for the partnership that we enjoy, and we're committed to keeping the foot on the gas to deliver innovation as you need it, and this partnership means so much to us. So thank you for joining us on main stage today.
I know you're gonna be around a little bit to answer questions. Ladies and gentlemen, Pete Covecccia. Thanks, Pat. I'm looking forward to it.
Patrick Finn, Everpure Chief Revenue Officer, sits down with Pete Cavicchia, CTO of Fiserv, for a conversation on enterprise scale, modernization priorities, and the technology decisions shaping what comes next.
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