The demands on revenue teams are very real: implement AI tools, develop talent, grow revenue at a neck-breaking clip. What do they expect from you, magic? In our signature Celebrate keynote, we'll expose the Revenue AI paradigm shift happening in real time — and give you a front row seat to making revenue magic a reality. We'll reveal the winning playbooks — or tricks — of the most successful companies in the world, and highlight the latest Gong updates to stay ahead as we enter this new era of Revenue AI. You'll walk away with clear, actionable tools and inspiration to outpace the competition, capture market share, and turn AI from a buzzword into a repeatable system for winning. Miss this, and you're left in the dark while everyone else has made revenue magic a reality.

Go beyond out-of-the-box automation and see how teams can spin up custom AI agents that work independently inside Gong. This session walks through what a Gong agent is, where it fits in your revenue motion, and how to configure one for your own use cases, with a live build on stage.

Your best plays shouldn't depend on you running them. The top revenue teams are turning their most valuable plays into Custom Agents that run on their own, and the payoff starts with one smart choice: knowing which repeatable, high-leverage work is worth handing off. A Gong customer shares how they found the play worth automating, what it took to build, and what they'd change. A Gong product expert then runs a live build, structuring the agent, dialing in the prompting and testing, and turning a proven play into one that runs itself. You'll leave with a real example, a framework for deciding what to automate, and a recipe you can use the next day.

Most enablement teams assess needs, build training, run practice, and measure results, but in silos, disconnected from what's working in the field. This session introduces a flywheel that detects real skill gaps, prescribes targeted practice, runs it at scale, and validates whether behavior actually changed. Stacey Justice, VP of GTM Enablement at Gong, shows it in action: how Gong used this model to get its field fluent on AI—from the foundations to orchestrating agentic workflows—backed by real performance data.

RevOps leaders feel the cost of bad data every day: reps chasing outdated contacts, verifying emails that bounce, and patching account records by hand. Good data is step one before any agent or automation can deliver ROI. In this session, RevOps peers share how they closed contact and account data gaps by building enrichment directly into their reps' workflow, pairing third-party data with first-party signals pulled straight from Gong calls, and what changed once the gaps closed.

Every revenue org has spent the last two years chasing some version of AI transformation. Now, most are facing the harder second act: scaling past the pilot and into measurable results. A select group of influential revenue leaders share what happened when their AI strategy met the real world. These executives will reveal the friction they didn't expect, the trade-offs they had to make, and the specific decisions that turned early missteps into measurable revenue outcomes. You'll walk away with pragmatic insights and winning moves — backed by results — that you can bring back to your own revenue team and apply right away.

This session goes deeper on Gong for account management. See the capabilities teams already rely on, plus new additions like custom agents, that help reps and managers structure accounts, set priorities, and build actionable account plans. We'll show the workflow end to end and pull back the curtain on what’s coming next.

Bigger targets, leaner teams, and endless AI tools. For financial services leaders, the right playbook is the difference between winning and coming up short. This two-part workshop begins with a panel of leaders from some of the industry's most innovative firms sharing how they are using AI to reshape the way their teams sell, serve, and grow. Then, we'll roll up our sleeves for a hands-on session building a concrete plan for gaining more ROI from AI - you'll walk away with a concrete, prioritized action plan for building an AI revenue stack that delivers measurable impact.

In an industry built on trusted relationships, healthcare organizations are embracing AI to drive growth without losing the human touch. This two-part session explores how to accelerate meaningful connections across the customer lifecycle. We'll start with a panel of industry experts on how AI agents enhance human connection and fuel growth from point-of-sale through ongoing engagement.

Then, we'll facilitate a discussion on practical ways to use Gong beyond initial sale to streamline onboarding and time-to-value, empower sales teams, and uncover expansion and retention opportunities. Join us to transform your revenue operations while keeping customer trust at the center.

Pipeline reviews are only as sharp as your read on where the risk really is. See how a RevOps leader starts in Gong Assistant with a simple question — where is pipeline risk increasing, and what's driving it? Then watch them flip into deep mode and turn on AI Deep Researcher to dig into the patterns underneath. You'll leave knowing how to turn everyday questions into the analysis that drives smarter pipeline reviews and a stronger revenue process.

This panel tackles a single question: what does it really take to get every customer-facing team working from one strategy across the customer lifecycle? Your customer sees one company, but the intelligence about them too often stays locked inside a single function, and the seams between teams are exactly where deals and renewals quietly fall apart. Panelists share concrete examples of using AI-generated insights to coordinate account planning, hand off context between functions, prepare for key customer moments, and spot expansion. Expect an honest look at where alignment breaks down in practice, what works, what doesn't, and what they'd do differently. The focus is cross-functional workflows and organizational habits, not features.

Every RevOps and technical leader is having the same conversation right now: build it ourselves, or buy it? This session breaks down how to approach that decision through real examples of best-in-class tech stack architecture. See how different companies structure their stacks, where they built, where they bought, and what it cost them either way.

The best coaching happens in the moments that matter. But it's the first thing to slip as headcount climbs and managers get stretched thinner. This session follows leaders who turned reactive coaching into a consistent operating rhythm, using AI to pinpoint where and when reps need help so managers spend their time developing teams, not hunting for what to fix. Leave knowing how to make great coaching a habit that doesn't break the moment things get busy.

QBR prep means knowing what's happening across your enterprise deals this quarter — the trends, and what reps do that consistently drives wins or losses. See how a sales leader starts in Gong Assistant with everyday questions, then flips into deep mode and turns on AI Deep Researcher to surface the patterns behind the numbers. Walk in to your next QBR with the full story, not just the dashboard.

Last year’s ecosystem panel made the case for MCP as the mechanism for AI interoperability. This year picks up where that left off: With the adoption of MCP and platforms capable of building agentic workflows, the challenge revenue teams need to tackle is using these capabilities to drive better outcomes.

Leaders from Microsoft, LinkedIn, and Deloitte join Gong to share their experience and how the best revenue teams do just that.

In this entertaining and provocative talk, #1 New York Times bestselling author Daniel Pink will offer a quick look at the big trends reshaping business – then offer a set of practical, science-based tips for making progress amid the turbulence.

Most systems can store your revenue data. Almost none can connect and contextualize it. The Gong Revenue Graph is the context layer that automatically captures and maps every call, contact, and account, turning disconnected data into a single source of truth. In this session, we'll go under the hood and examine how a signal detected in customer conversations (a stalled deal, a missed stakeholder, a competitive mention) gets operationalized in Gong and fed back into the Gong Revenue Graph. We'll also walk through how to use Gong Dashboards, MCP, and Custom Agents so you leave with use cases to bring back to your team.

The revenue role is being rewritten in real time. GTM teams are asked to do more with AI, own more of the motion, work across functions, and navigate complex deals and rising expectations at once. The old picture of a "great" seller or CSM no longer holds. This session asks what talent looks like today: the skills that matter now, and the ones AI makes table stakes. Leave with a sharper view of what to build toward in your team.

The highest-performing revenue teams don't run on individual heroics. They spot what their best reps do well, then build the systems to scale those practices across the whole org. This session pairs a real customer transformation story with an inside look at how Gong runs on its own AI. You'll follow one clear before-and-after: how a sales or CS leader took an approach already proven by top performers and drove org-wide adoption, making it easy for every rep to follow and simple to reinforce in coaching. Expect the rollout, the adoption curve, the hard numbers behind it, and a framework you can take home to turn your best practices into how the whole team operates.

Your sellers shouldn’t have to hunt for the data they need to take action. See how you can bring trusted account and contact data directly into Gong, filling gaps across multiple data providers and putting better data into the workflows reps already use.