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Category: Content

The realities of deploying generative AI in customer support with Alia Azim, Citation Group

In this episode, we discuss how to shift from traditional NLU chatbots to generative AI conversational agents.

AI agents with salaries: Inside the “Cloud Employee” model with Gabe Larsen, Atonom

What happens when AI stops being treated like a tool and starts being hired like an employee?

10 ways SharkNinja uses AI to support a $5B business

Discover how SharkNinja has moved beyond experimentation to production-scale AI implementation.

The evolution of conversation design in the age of generative AI with Georgios Tserdanelis, JPMorganChase

We explore how conversational AI has evolved from scripted IVR and NLU systems to large language models and agentic experiences.

Automating customer service across 170 countries with HBX Group

HBX Group sits in the middle of one of the most complex customer service chains in travel. A single issue can span a traveller, a travel agent, a global booking platform and a hotel on the other side of the world.

Designing conversational AI that works with Anne Cantera of Optimum

From IVRs to multimodal AI experiences, the hardest problems are rarely technical. Anne Cantera breaks down what it takes to design conversational AI that customers trust and use.

The AI talent war with Chris Morrow, Founder of Digitalent

Cars are becoming one of the most competitive frontiers in AI, and most people don’t realise how complex it really is.

The AI-driven evolution of the in-car experience with BalaKrishna Kolluru, Senior Director of AI at Cerence AI

Cars are becoming one of the most competitive frontiers in AI, and most people don’t realise how complex it really is.

Is your AI strategy ready for ChatGPT Agent?

ChatGPT Agent is already navigating websites on behalf of customers. Find out what CX leaders should do now to prepare their digital estate for AI agent traffic.

Why AI is the future of customer service with Fergal Reid, Chief AI Officer at Intercom

What does it really take to build AI that can resolve customer support at scale reliably, safely, and with measurable business impact?

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