Ashesh and Vikas, thank you so much for joining us.
Ashesh, this first question is for you.
Why is making AI easier and more accessible important?
Thanks for having me here.
So I fundamentally believe that AI is a once-in-a-generation
technology that will improve the productivity that humans can have.
We'll see the impact of AI in a variety of use cases and a
variety of industries, right?
Whether it's agents in a contact center, whether it's students,
we've already seen them, you know, use it quite
prolifically, whether it's, you know, retailers making better
recommendations, whether it's financial services providing
better services to the customers, or in fact,
governments providing better access to the citizens.
So I think the impact of AI is profound.
It'll be widespread.
And so it's really important for all of us to figure out ways to
embrace it to increase our productivity and operate innovation.
So Vikas, how can companies best leverage open source AI to
capture value?
Lisa, I think the important word is choice.
And you know, Ashesh was just mentioning retailers making
recommendations.
I had a discussion with the head of AI for a retailer, and he was
describing to me—this is a company that uses a lot of
different AI technology.
And he said for the simplest of things where, you know, if a
customer is buying eggs and they need to get a recommendation
that they should buy milk, they don't need a trillion parameter
model for that, you know, an open source model, a smaller
model is more than sufficient.
And so it's really about choice.
It's about different situations and different technologies
that'll be appropriate for those situations.
And open source, we think is actually a very important part
of that.
So for both of you, beyond technology, what can enterprises
do to create value?
At BCG, we believe that getting value from AI at scale is an
organization-wide commitment.
It's not the responsibility of, you know, a specific individual
or a specific function.
And what it really requires is the right level of executive
sponsorship, the right governance in place, the right
approach to data—because we're talking, you know, about
exabytes of data that people are looking to analyze.
And it's about change management.
It's making sure that the right policies, procedures,
enablement, upskilling is in place so that the organization
can actually get the value from the amazing technology that we
have now available to us.
I couldn't agree more with Vikas, right?
I think choice will be critical.
I think open source will be very important, which isn't strange
for me to say. But I think it's also important to really think
about model sizes and using the right size model for the right
use case.
So, you know, we think that's going to be important, but
coupled with that will be efficiency, right?
How cost-effective are you delivering?
What's the appropriate ratio with regard to price and the
value being delivered against it?
So I think all those factors will play a really important role.
But I'll add maybe one more thing to the point you were
making about organizations. We think it's really, really
important to enable and skill the users of corporations and
anyone who's interacting with AI.
So just like we did with cloud and made everyone comfortable
with regard to application services around the data center
and the ones they take advantage of in the cloud, we'll go
through a similar journey with AI.
So it's really, really exciting to see and we're looking forward
to being a part of it.
Thank you both so much for being here.
Thank you.