AI has changed how code is written, but the real bottleneck is getting this code to your customers in production. Join Harness CEO Jyoti Bansal for a look at how AI is transforming the entire software delivery lifecycle, from how teams test, secure, deploy, and optimize software at scale.

We’ll unveil Harness's latest AI innovations and show what’s now possible when intelligent workflow orchestration meets your software delivery data. Through live demos, you’ll see how Harness turns AI innovation into concrete results—accelerating delivery, improving security and reliability, and unlocking developer productivity.

AI is changing how enterprises build and deliver software—but how do you turn AI potential into real-world value? Amit Zavery, President, CPO, and COO of ServiceNow, joins Harness CEO Jyoti Bansal for a candid conversation about the future of AI enterprises - developer productivity, platform thinking, and building for speed without sacrificing security or reliability. They’ll discuss where AI is driving the biggest impact, how regulated industries can adapt, and what it takes to keep innovation moving at enterprise scale.

Security shouldn’t feel like friction. Hear how teams are embedding AppSec into software delivery—without overwhelming developers or security teams. From AI-driven vulnerabilities to tool sprawl and supply chain risk, they’ll offer real-world strategies to cut noise, prioritize threats, and scale security across the SDLC.

Databases have long lagged behind in the DevOps journey—but that’s starting to change. Daniel Gabriel (Athenahealth) shares how his teams are integrating database changes into modern CI/CD workflows. From Postgres standardization to compliance-minded pipelines, they’ll explore how to reduce risk, boost consistency, and bring databases into rhythm with the pace of software delivery.

As companies evolve into platform-first organizations, tech leaders are making big bets on cloud strategy, internal developer platforms, and AI-driven services. Faizan Panwala (Regions Bank) and Yogs Jayaprakasam (Deluxe) share how they’re tackling cloud strategy, building modular systems, and embedding AI to power developer efficiency. From modernizing legacy systems to balancing buy-vs-build choices, they’ll explore what it takes to secure buy-in and deliver transformation that lasts.

Cloud adoption brings speed and scale—but also rising, unpredictable costs. Bob Chen (iHerb), Gopal Kesavan (USAA), and Shannon Eldridge-Kuehn (AHEAD) discuss how to uncover hidden spend, align costs with business priorities, and use automation and AI for smarter decisions. They'll share FinOps practices that go beyond tracking expenses to creating a culture of cost awareness and continuous optimization.

How do you design platforms that developers actually want to use? In this session, Alex Crettenand (ADT), Prem Dhayalan (Capital One), and Sudha Venugopalan (GM Financial) share how their teams are rethinking platform engineering with a focus on developer experience. From enabling self-service and reducing cognitive load to leveraging AI in day-to-day workflows, they’ll explore what it takes to build scalable systems that drive both satisfaction and speed. Expect practical strategies, cultural insights, and lessons from leading highly regulated, high-impact environments.

Today’s enterprises are required to ship code changes faster, cut costs, and boost productivity—all without reducing the speed of innovation. This panel explores how platform engineering, AI, and the application of frameworks such as DORA and SPACE are helping engineering teams scale efficiently. Explore how engineering leaders are aligning engineering efforts with business value, gaining executive support, and building developer cultures that sustain high performance in pressurized environments.

Manual deployments, fragmented pipelines, and slow release cycles are challenges every engineering organization faces. Owen Wolf (Sony), Richard Steenburg (Early Warning), and Brandon Whelply (Avyka) join forces to discuss modernizing software delivery in complex environments. They share lessons from transforming legacy practices into automated, developer-driven continuous delivery models. From managing cultural shifts to integrating AI verification and tool standardization, they’ll explore practical strategies for reducing operational burden, empowering teams, and improving reliability.

Ironclads — ships protected by iron armor plates — were constructed for roughly 30 years between 1859 and the early 1890s. They represent a small but pivotal moment in advancements of naval technology. But ironclads were not the final form; instead they were a transitional moment that set the stage for the next phase of evolution.

We are in the ironclad era of AI, a period of extreme advancements and shocking change. A time in which it's easy to lose sight of the value of AI: delivering better software, faster. This talk will focus on how AI is impacting DevOps and how developers wield both the power and the responsibility to determine what comes next.