Commercial Integrator August 2023 - 42

TREND Considering ChatGPT
S
the need for integrators to do quarterly or
twice-yearly client site visits.
Speaking of his role at Diversified,
Brown says, " There's a lot of data we collect
for our customers [where] we've rolled
out monitoring, or we have a pulse on a
proactive monitoring service. We collect
a lot of data around all the AV devices
that are connected in a room [and] the
performance of those.... " He continues,
" When you have that much data around
device performance, it's just waiting to be
exploited by a learning language model
(LLM) or integrated with a chat feature so
you can chat with your data. "
Brown states that generative AI could
even be used to identify your firm's most
profitable projects. " It has the potential
to even create a summary as to why those
projects were profitable, " he explains. " It
also has the capability to [identify] which
suppliers have the longest delivery time. "
Brown adds, " The data is there. We might
as well chat with it. That's where I think
we're heading as an industry. "
Integrators shouldn't fret about these
changes; rather, integrators should see
an opportunity. As Brown explains,
" With any major technological evolution,
there's complexity. And even though the
potential outcome for the end user is to
make them more efficient - make them
be able to chat with something - there's
all the underlying technology that still
needs to be figured out. " He cites, for
example, all the data repositories and
how an organization can leverage them.
" These are the kinds of conversations
integrators need to be having with
clients, " Brown advises, " because clients
are already looking at this technology. "
" As integrators, we need to be able to
have intelligent conversations within our
bubble on how we can leverage these
trends to make the services we provide better, "
Brown continues. " And, in turn, make
the user experience better. "
The Challenges of Generative AI
When the first iteration of ChatGPT came
out, there was much skepticism. The
output was oftentimes fanciful, made-up
answers. It was almost as if the chatbot
was hallucinating. Many of those issues
are now substantially resolved. " With Bing
integration, the hallucinations are almost
nonexistent, " Fons says. " Anytime you're
looking for stuff, [it gives you] references to
websites where it got the information. You
can fact-check it. " And he suggests that users
do exactly that. " No matter what you're
doing - if it's for social-media posting,
marketing or sales efforts, or assisting you
with tactical design or space evaluation -
fact-check it now, " Fons implores.
McDonald notes a key fact: Yes, generative
AI can make mistakes and do things
incorrectly. " It can say [a product] could
work with [another product], when, in fact,
it doesn't, for example, " he acknowledges.
However, he's quick to add that this is
now the exception, rather than the rule.
" It's something to be aware of, " McDonald
concludes, adding a note of optimism that
things will only continue getting better.
It's worthwhile to contextualize generative
AI's inaccuracies. After all, a colleague
could give you incorrect information. " It's
never going to go away because [generative
AI] is built on human language, " McDonald
concedes. " And guess what? To
err is human. And that's going to continue
to be the case for anything that we build. "
However, he believes that, in the future,
such misfiring should be negligible.
Notes of Caution
When implementing any new technology,
precautions are a given. When it comes
to generative AI, anything you put into the
When implementing any new technology, precautions are a given. When it comes to generative AI, anything you put into the model
will, by default, contribute to its learning.
42
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Commercial Integrator August 2023

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