-: Generative AI could make it easier than ever before
for your company to adopt AI at scale.
We are, of course, seeing a lot of excitement
about how generative AI will impact productivity
and significantly reduce cost.
However, generative AI's democratizing powers also means,
by definition, that your competitors
will have the same access to these use cases.
And this is why we think CEOs
should focus less on these table stakes use cases
and instead focus on golden use cases
that will bring true competitive advantage in the long term.
These use cases could come from any point
along the value chain.
At the beginning of the value chain,
generative AI can be used to innovate quickly
on entirely new offerings.
For example,
Profluent Bio integrated Salesforce's ProGen model
into their R&D process to quickly discover new drugs
through inverse design.
But what is inverse design?
It means you ask for specific functionality
and the model will generate molecules
with that functionality.
Soon, they will simply prompt for molecules
that will tackle diabetes
and create new therapies from the results.
Once CEOs have their golden use cases,
they will need to work with their tech teams
to decide how to embark with LLM (Large Language Model) providers.
The market is rapidly evolving,
so it is important to be careful
about where you place your commitments and your bets.
Look across the entire spectrum of options,
while carefully assessing cost,
talent requirements, data privacy concerns,
and partnership options,
varying what you do in-house
versus outsource to these providers.