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Welcome to this talk about
the importance of AI
on pharmaceutical supply
chain management.
My name is Antonio Pesqueira,
and for the last 15 years,
I have been working with
Healthcare and Life
Sciences companies
to navigate the intersection of
operations, technology,
and strategy.
Currently, I'm a researcher
at ISCTE University of Lisbon
in Portugal and also working
as a consultant for a
company called DCOPI.
Our core theme for today is
mainly about AI that isn't
just a new set of tools.
It's really a potential
future architecture
that powers a more adaptive,
resilient, and
intelligent enterprise
through a framework that we
call dynamic capabilities.
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The boardroom-level process
is where these
AI-driven insights
can be translated into
that strategic integrated
business planning, or IBP.
Before S&OP, so sales
and operations, or IBP,
were always very
long, slow processes
where usually we had
more than, let's say,
10 different individuals
from several different parts
or functions from the companies
that could be
clinical operations,
could be from quality
management assurance,
could be from supply chain or
sales or marketing,
and so on and so on.
Imagine that ability
to have AI simulating
some of those
discussions already
with some of the data
points, and automatically,
we can have more steering
committee decisions
or meetings around already
specific decisions
that were made or
proposed by the agents,
and automatically,
we can start having
more practical
discussions in terms of
what are concrete scenarios
that we want to validate.
