Fireside Chat: AI Agents Customers Actually Like and CX Teams Trust
Join Cresta and AI thought leader, Steve Nouri, for a zero-hype chat on what it takes to deploy enterprise-ready AI agents in CX.
Confidence in Every Conversation: How Leading Enterprises Validate AI Agents Against Real Customer Behavior
Join this session to see how to use your own conversation data to build and validate AI Agents with confidence.

Cresta AI Agent: The New Standard for AI Agents
Join Cresta for a live product tour of Cresta AI Agent to see how leading enterprises are setting a new standard for AI-led customer experiences.
Fireside Chat: How CX Leaders Turn AI Hype into Reality
Join this session to see how CX leaders cut through the noise, align on priorities, and build data-driven AI roadmaps.
What CX Orgs Must Get Right: Building a Human + AI Workforce
Tune into this fireside chat to hear no-hype predictions on how humans and AI agents will work together in CX — and what organizations must do now to prepare.
From Metrics to Meaning: Insights from the 2025 Benchmarking Study
Join us to gain a clear view of where contact center excellence is heading, and how to position your organization at the forefront of this transformation.
Beyond the '0' Button: Building AI Agents That Customers Love
Join Cassie Kozyrkov, Google’s former Chief Decision Scientist, and Cresta for a candid conversation on what it takes to build AI that’s trusted, helpful, and enterprise-ready.

The Voice AI Tipping Point: Why AI Agents Are Ready to Take the Mic
AI agents are no longer just glorified IVRs. They’re evolving—fast. Advances in language models, real-time business logic, and adaptive learning mean AI agents can now handle complex conversations with nuance, accuracy, and even a little charm.

Leveraging Technology for AI Maturity: Choosing the Right Tools and Platforms
Welcome to the AI Maturity Blueprint webinar series, where expert speakers explore the four essential pillars of AI adoption in contact centers. Episode #3 is all about cutting through the AI hype and getting real about technology. Choosing the right tools, avoiding costly mistakes, and building a tech stack that delivers on AI’s promise.

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