Enterprise LLMs and AI in Customer Support: A Conversation with Raghu Ravinutala of Yellow.ai

IoT For All
Enterprise LLMs and AI in Customer Support: A Conversation with Raghu Ravinutala of Yellow.ai
Illustration: © IoT For All

The AI For All Podcast returns with another captivating episode featuring Raghu Ravinutala, the CEO and co-founder of Yellow.ai, a global leader in Conversational AI. Hosts Ryan Chacon and Neil Sahota engage with Raghu in a comprehensive conversation about the emerging trends in enterprise LLMs and AI’s pivotal role in customer support.

From Chatbots to Intelligent Agents

Raghu kicks off the episode by tracing the evolution of AI chatbots, explaining how they have morphed into highly specialized intelligent agents capable of complex interactions. He paints a vivid picture of how these advancements have revolutionized customer service in multiple sectors.

AI and Job Dynamics

A pertinent issue that often surfaces in AI discussions is its impact on employment. Raghu dives into this topic, assuring listeners that while AI may automate some repetitive tasks, it simultaneously generates new roles requiring a unique skill set, essentially creating a shift rather than a loss in the job market.

Keeping AI Systems Up-To-Date

Discussing the technical aspects of AI in customer support, the conversation moves to the necessity of updating AI systems. Unlike a website or application that can be static, AI will always need to be updated with the latest company data.

Cost Analysis of AI Customer Support

An intriguing segment of the discussion focuses on the economics of integrating AI into customer support. Raghu elaborates on how AI can be both a cost-saver and a revenue-generator, significantly impacting an enterprise’s bottom line.

Industries at the Forefront

Raghu identifies industries that are leading the charge in employing AI for customer support. From financial services to retail, he provides real-world examples of sectors that have successfully embraced this technology.

The Era of Specialized LLMs

The future, according to Raghu, is filled with specialized LLMs capable of ultra-specific functions. These LLMs will not only engage in routine customer support but will also assist in intricate processes requiring a deeper understanding of the subject matter.

Gleaning Customer Insights Through AI

Another salient point raised in the episode is the use of AI for gathering actionable customer insights. Raghu explains how data analytics coupled with AI can provide enterprises with a wealth of information about customer preferences and behaviors. He provides an example of how a PCG company was able to personalize their marketing on a regional basis using insights from their customer support AI.

Advice for Enterprises

For organizations contemplating the leap into AI, it’s a choice between building your own AI and infrastructure or utilizing an outside vendor or third party. Raghu recommends that companies that are not primarily tech companies take advantage of the excellent tools and services that already exist.

Watch the Episode

This episode is an invaluable resource for business leaders, customer support executives, and anyone interested in the interplay between AI and customer experience (CX). With Raghu Ravinutala’s deep expertise and insights, the episode serves as a guide to navigating the evolving landscape of AI in enterprise settings.


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IoT For All
IoT For All
IoT For All is creating resources to enable companies of all sizes to leverage IoT. From technical deep-dives, to IoT ecosystem overviews, to evergreen resources, IoT For All is the best place to keep up with what's going on in IoT.
IoT For All is creating resources to enable companies of all sizes to leverage IoT. From technical deep-dives, to IoT ecosystem overviews, to evergreen resources, IoT For All is the best place to keep up with what's going on in IoT.