To link GenAI to business objectives, there are two exercises all of you need to
be doing.
One is truly understanding what GenAI can do.
Understanding what are the tools, the methodologies, the
software packages out there that exist and what are they good
for, what they can be used for versus not.
At the same time, you need to do the constant business hygiene of
thinking through what are your customers' biggest pain points,
what are you really solving for, and what is going to give
you competitive advantage.
And you're doing those two things in parallel.
And just the discipline of going through the thinking motion of
how can you use GenAI
to solve these biggest problems is something that needs
to be a regular rhythm and part of your ongoing muscle build.
And if you do that in a consistent way, you're going to
start identifying those opportunities of how you're
embedding GenAI
into everything you're doing.
So you really need to focus on the outcomes at scale so that
you can identify which parts of the end-to- end process will
really make a difference if you optimize them.
If you optimize some that are not a bottleneck at all, you
could make them 50% efficient, but it doesn't change your whole
outcome either for your customers or for the quality of
the products that you're putting out there.
So you really need to think end to end and focus on things that
will make a difference.
The number one thing the companies are getting wrong with
how they're deploying GenAI
is either waiting and not doing anything or completely
outsourcing the thinking to third parties or the software
vendors to figure it out for them.
You really need to own this.
You need to embed it into everything you do and it's not a
project, it's a part of an ongoing program and it should
become part of your DNA.