Vasanth Raju

speaker

134 appearances 1 recordings 1 series first heard Jun 2026 last heard 19 Jun

Vasanth Raju’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jun 2026 with 1.

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The Fast Mode Podcasts: Breaking News, Analysis and Updates From Telecoms Industry · Building AI-First Organisations: Data, Products, and Enterprise Value · 19 Jun 2026 podcast

Uh yeah at Raccoon we strictly believe, uh I mean uh generally believe rather uh that basically AI is not something that you bolt onto an existing product, right?

Like and and call it uh an AI uh product.

I think uh uh the main way we look at it is uh how can AI amplify the value of our ecosystem, right?

Um so uh one of the big things

That we've been doing is uh how do we build that scalably, right?

So uh fundamentally, all the way from our model foundation uh to all our agent architectures uh that can scalably be deployed across all of our businesses.

We have 70 of our businesses.

Um so, for example, uh this year um we already uh we've already launched eight agents and 11 agents to come uh across different businesses of Rakuten.

Yeah.

uh our our AI uh powered customer service tool uh that we're deploying across 11 businesses or 10 businesses.

Um and we are expected to basically realize a cost savings of over about 29 million dollars from this uh in 2026 alone, right?

Uh so that's what we call an example of scaled deployment of AI rather than looking at AI as fundamentally just one agent here and one agent

there.

Uh we want to unify the architecture of data and agents and then deploy that across all our businesses and especially in use cases where we can realize a lot of value, uh whether it's cost savings or uh revenue addition.

Yeah, absolutely.

I mean uh I I think it's a it's like a prerequisite of sorts for us to this kind of scale deployments, right?

Like uh um I mean L LMs and uh AI compute, uh there's so much capex going into building uh data centers across the world, not just in the US, uh from all the big tech players to hyperscalers to all the AI native players, right?

So LLMs are getting obviously commoditized, um, uh no doubt about it.

Uh and compute is coming online, um, you know, I think faster than the rate that some people think that it's not going to meet demand, but I believe that there's enough compute in the world uh to really get value out of it.

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