Generative AI offers significant opportunities for business growth beyond cost savings by enabling the re-engineering of workflows for both employees and customers, leading to new service offerings and enhanced product value.
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there are many ways that J of AI is
leading not just to cost savings but to
revenue growth but there's so many ways
for general purpose technology like
generative AI to create value to talk
about all of these ways but in this
video I'd like to take a look at a
couple of the emerging or the more
common paths I'm seeing toward this type
of growth let's consider the
hypothetical example of a surgeon
preparing to car out a surgical
operation and then actually carrying out
that operation without generative AI
tools they may need a long time to do
background research to understand the
medical procedure and how to carry that
out in the context of a specific patient
and then they will go into the operating
theater to carry out that surgery if gen
of AI maybe with custom rag or retrieval
augmented generation tools can help with
the research portion of this work then
perhaps the time and effort need needed
to deeply research the medical procedure
could shrink and then they still need to
go in to carry out the surgery after
that so this would be an example of how
gen of AI could hypothetically help a
surgeon or some of job row where you
need to do some research and go and
carry the task with this diagram
illustrating how the workflow or the
effort needed might change let's look at
the second example a lawyer reviewing a
comp Lex legal documents might without
generative AI first have to gather
information from the client so sit down
with the client to really understand
what's the purpose of this contract who
are the people signing it what are the
key business terms and then they might
review the documents and then finally
sit down with the client to give them
feedback with Gen of AI maybe gathering
information takes just about as much
effort as before but if gen of AI can
help read over the document perhaps this
step can become shorter but then maybe
the lawyer still needs to sit down with
the client to give them detailed
feedback again this is a hypothetical
example based on what I'm seeing
companies do but the details of your
workflow may be different in contrast
this is what changes the workflow might
look like for reviewing simple as
opposed to complex legal documents for
comparatively simple legal documents say
a typical non-disclosure agreement or NDA
NDA
there may not be much information to
gather and so the lawyer could just
review it and then give the client
feedback now with generative AI maybe
the review of the document can become
much faster and if we use generative AI
to create a document to summarize the
issues that the lawyer can send to the
client and discuss with them more
efficiently than the process of giving
client feedback can also become maybe
more efficient what I'm seeing is that
companies might explore building a
system like this but after having built
such a system might decide to further
change the workflow where after the
reviewing of documents may decide to add
an extra fast human verification step in
the middle just to double check that
what the Jif AI said about the document
is comprehensive and correct before then
having J of AI and the lawyer together
try to go to that last step of giving a
client feedback and so this type of
re-engineering of workflow is quite
common once both genitive AI or other AI
tools are inserted into a system because
when one task is automated or augmented
it often makes sense to wethink what are
the other tasks that need to be done
together in order to deliver a valuable
work product such as a surgical
operation or a review of a legal
document let's look at the third example
where the redesign of the workflow can
become even more sophisticated if a
marketer has to write copy for a website
that often is very time consuming and
requires a lot of thought and then after
that they might push the new website
copy to the website and that's how a
marketer might Market a new product but
with Gen AI tools let's say that the
marketer finds a way to significantly
accelerate and make more efficient the
writing of the website copy and once
writing the website copy is so efficient
it may be worth also investing in better
processes of software to make pushing to
the website more efficient and we could
end here if we do this then we just have
a marketer that's is able to do their
work much more efficiently than before
but now that we're able to write copy
and push the website much more
efficiently here's how we could rethink
the workflow which is when a marketer
wants to Market a new product they could
write some copy push the website but
then maybe write a different variation
on the copy and push that second version
to the website so they can start to
launch an AB test where you can now have
two different versions of a website copy
and start to measure which one works
better and in fact rather than just
testing two versions if we are so
efficient at writing copy and pushing
copy the website maybe we can now
generate four different versions so it's
not testing two but now four versions
and after collecting data from how all
four versions of the website copy
perform we might end up sitting down and
actually spending quite a long time
analyzing ing the campaign performance
to see which website copy works the best
and then based on that understanding go
back to further improve the website copy
Maybe by improving the prompts that we
use to generate that copy and so in this
example even though it seems like G of
AI can be used just for cost savings to
help the marketer be much more efficient
in the process of writing and pushing
copy we can also take advantage of this
efficiency in a totally different way
and write and push and test many more
versions of the website copy and this
leads to other changes as well to the
workflow of the marketer so that this
way hopefully the marketer can deliver
much more compelling marketing campaigns
now in this video we've seen a few ways
that gen of AI can not just save costs
but lead to significant growth through
new types of service offerings or
products in addition to searching for
growth opportunities by looking at tasks
done by the employees of a company
there's one other framework for analysis
that found useful that frankly isn't
done as much today but may be worth
considering for your work which is
rather than analyzing employees task
consider also analyzing the task of your
customers so for example let's say you
offer a product or service that helps
your customers to build websites
then I would urge you to consider
listing out what are the tasks that your
customers have to do not the tasks your
employees have to do but the tasks your
customers have to do in this case maybe
your customers have to first select a
template for the website to get the
initial design then they have to write a
title for the website then select images
write a copy for the homepage and then
optimize the copy for search engine
optimization to make it easy to find vir
search engines and maybe other TS as
well and if you were to analyze the geni
potential for your customer task then
you may also identify opportunities in
this case writing the title and SEO
search engine optimization as places
where gbi could help your customers and
I found that this framework for analysis
and brainstorming can sometimes lead
companies to build very different
product or services to deliver to the
customers and this can be another recipe
for getting lots of happy customers and
therefore pursuing growth for your
business so there are many ways that
gent of AI is creating value and can
lead to growth in terms of brainstorming
Frameworks I found that looking at how
you can automate or augment tons by
employees or ultimately augment TS by
your customers to be useful ways to
approach thinking about how to create
that value but if you have some other
idea that isn't arrived at by some of
these brainstorming Frameworks that's
great too and I hope you explore
building those
too now after coming with an idea of how
to use gender VII in your business some
probibly could be done via web user
interface but some may require building
a custom software application in the
next video we'll take a look at common
team structures and some best practices
for building J of AI software
applications the good news which I
alluded to in the first week as well is
that it may take less resources than you
might think because gent of AI allows
for very efficient building of AI
applications compared to some earlier
ways of AI technology but let's go take
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