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<feed xmlns="http://www.w3.org/2005/Atom"><title>Todd Schiller - webinar</title><link href="https://toddschiller.com/" rel="alternate"></link><link href="https://toddschiller.com/feeds/tag/webinar.atom.xml" rel="self"></link><id>https://toddschiller.com/</id><updated>2024-09-02T00:00:00-04:00</updated><subtitle>Human ✘ Artificial Intelligence</subtitle><entry><title>Co-pilots, not chatbots: highlights from a TaskUs Forward webinar</title><link href="https://toddschiller.com/blog/operationalizing-ai-at-scale-highlights.html" rel="alternate"></link><published>2024-09-02T00:00:00-04:00</published><updated>2024-09-02T00:00:00-04:00</updated><author><name>Todd Schiller</name></author><id>tag:toddschiller.com,2024-09-02:/blog/operationalizing-ai-at-scale-highlights.html</id><summary type="html">Highlights from the September 2024 TaskUs Forward webinar with Manish Pandya and host Alp Uguray on what it takes to operationalize generative AI in CX.</summary><content type="html">&lt;p&gt;I joined Manish Pandya (SVP of Digital at TaskUs) and host Alp
Uguray (Masters of Automation) for a &lt;a href="https://www.youtube.com/watch?v=G03VU4w5ixc"&gt;TaskUs Forward webinar&lt;/a&gt;
on operationalizing generative AI in customer experience. A few
moments from the conversation worth pulling out — the &lt;a href="/transcripts/operationalizing-ai-at-scale-transcript.html"&gt;full
transcript is here&lt;/a&gt;.&lt;/p&gt;
&lt;h2&gt;On AI looking like the early days of the internet&lt;/h2&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Todd:&lt;/strong&gt; I think in a lot of ways AI looks like the early days of
the internet. It's subsidized by an ample wave of investment from
the venture capitalists. You have providers like Google, Amazon,
and Facebook fighting to create this excess amount of
infrastructure and capacity due to competitive pressure. We also
see a very low barrier to entry to build prototypes. So ultimately
I think AI is the future, but definitely not all the ideas and the
companies and the headlines that you see are going to stick.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;h2&gt;On human-driven AI&lt;/h2&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Manish:&lt;/strong&gt; At TaskUs we believe in the power of human-driven AI,
or human-in-the-loop, where the technology is amplifying the
capabilities of the human as they deliver — not necessarily
replacing them. This has potential to deliver empathetic,
personalized, and nuanced responses that only a human can deliver,
and not necessarily something that an AI can replicate, although
AI can assist.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;h2&gt;On chatbots vs. the natural flow of work&lt;/h2&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Todd:&lt;/strong&gt; Chatbots are the fastest way to deliver AI to everyone
at your company — and if you remember, ChatGPT was actually the
fastest-growing consumer product of all time — but there's
actually little consistency with outcomes when you just roll out a
chatbot. […] What we're really seeing is companies figuring out
how to embed AI into the natural flow of work, and as Manish said,
it's really about making AI a true co-pilot for teammates.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;h2&gt;On a true co-pilot, not just chatbots and search&lt;/h2&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Manish:&lt;/strong&gt; What we're seeing is that clients are expecting the
generative AI solutions to complement our teams so they can be
freed up to perform high-value tasks. Essentially what they're
looking for is a true co-pilot for our teams, not just chatbots
and search.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;h2&gt;On systems thinking and second-order effects&lt;/h2&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Todd:&lt;/strong&gt; We've seen a lot of companies deploying, for example,
customer-facing chatbots, and then running around with their
deflection rate metrics saying, &amp;quot;hey, we did a great job,&amp;quot; but
then they see drops in their customer loyalty and lifetime
customer value. So for me the key is to think holistically about
your company and value chain — try to apply what a lot of people
call systems thinking — and really try to understand what is
unique about AI as a technology and therefore where it can best be
applied.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;h2&gt;On agentic AI and the next few quarters&lt;/h2&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Manish:&lt;/strong&gt; Rather than talking about the next few years, let's
talk about the next few months and next few quarters. […] You will
also see that not just one-shot question and response with some
follow-up queries, but being able to form a chain — which is what
is called agentic AI — will emerge, where you provide a task and
the generative AI solution is able to string together multiple
automation capabilities together.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;h2&gt;On building trust between humans and AI&lt;/h2&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Alp:&lt;/strong&gt; We're introducing more automation to remove the mundane
tasks that people hate to do, while bringing explainable AI — why
AI does certain things and what the impact is, the transparency in
execution. […] It's going to build a new trust between humans and
AI. That trust is going to be really important and has its own
requirements, and of course it has to bring business value —
measuring the ROI where it needs to be, while we are driving
meaningful work of the future.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;hr /&gt;
&lt;p&gt;The full webinar is on &lt;a href="https://www.youtube.com/watch?v=G03VU4w5ixc"&gt;YouTube&lt;/a&gt;. A lightly edited
&lt;a href="/transcripts/operationalizing-ai-at-scale-transcript.html"&gt;transcript is on this site&lt;/a&gt;.&lt;/p&gt;
</content><category term="Machine Learning"></category><category term="webinar"></category><category term="pixiebrix"></category><category term="generative ai"></category><category term="llm"></category><category term="customer experience"></category><category term="taskus"></category></entry></feed>