AT&T Presents - Winning in a GenAI Disruptive World
Summary
TLDRThe speaker reflects on previous technology disruptions like the internet and mobile apps to provide context on the disruption caused by AI models like ChatGPT. He explains how ChatGPT is being rapidly adopted across industries and shares examples of how his company AT&T is using it to boost productivity. He advises graduates to learn these new skills to stay competitive in the workplace or consider entrepreneurial opportunities building on top of language models, emphasizing key principles like iterating quickly, enabling broad use cases, and automating actions.
Takeaways
- 😲Generative AI like GPT is massively disruptive, touching many industries and being adopted very quickly
- 👩💻As a new grad, get hands on with generative AI fast to stand out and be productive
- 🤝Enable yourself broadly with generative AI - automate workflows, analyze data, write content etc.
- 💡Build on top of large language models for the most value - the models themselves may commoditize
- 🔀Iterate applications of generative AI - it won't be perfect at first, incorporate human feedback
- 🚀For entrepreneurs, now may be the best time ever - huge opportunities in this disruption
- 💰Get to generative AI applications fast for outsized gains - it's poised to be a 'winner takes most' market
- 🤖Go beyond information to recommended actions and automation for the highest value from generative AI
- 📈Legacy workers may struggle - as a young grad you likely have big advantages
- 😎Don't be narrow in your thinking - small generative AI teams will build huge businesses
Q & A
What are the three major technology disruptions the speaker has witnessed in his career?
-The three major technology disruptions the speaker referenced are: 1) The rise of the internet, the World Wide Web, search engines, and email in the 1990s; 2) The emergence of companies like Amazon and the shift to online retail around 2002; and 3) The launch of the iPhone in 2007 which dramatically increased mobile data usage and access.
How does the speaker explain the wide-ranging impact of generative AI models like ChatGPT?
-The speaker shows data indicating generative AI has potential impact across many sectors - finance, customer service, education, healthcare, etc. He says it 'almost affects everything' and seems more disruptive than previous innovations because of its broad applicability.
What does the speaker mean when he advises people to 'get there fast' regarding generative AI?
-He means that early adopters of new technologies like generative AI often gain a dominant market position, using the examples of companies like Google, Amazon, and Apple. His advice is to start implementing and leveraging generative AI as soon as possible before competitors do.
What does the speaker mean by 'enable yourself broadly' in terms of preparing for disruption from generative AI?
-He advises developing skills across multiple roles rather than specializing, because generative AI may allow automation of certain specialized roles. His example is a developer possibly taking on other responsibilities thanks to productivity gains from generative AI.
Where does the speaker suggest focusing for the most value on top of generative AI models?
-He suggests building capabilities on top of the core language models, rather than trying to differentiate solely with better language models. Examples could include domain-specific implementations or going beyond information retrieval to take automated actions.
What unique advantages does the speaker highlight for students preparing to enter the workforce?
-He notes that as digital natives, students are adaptable to new technologies like generative AI. They can take advantage of more experienced coworkers who may struggle adapting to innovations like chatbots and AI assistants.
When does the speaker suggest entrepreneurial opportunities may be greatest with regard to generative AI?
-He proposes that the current period, with rapid advances in generative AI across industries, represents an unprecedented opportunity for enterprising startups to harness these tools to disrupt established players.
What AT&T-specific uses does the speaker describe for generative AI models?
-AT&T is using generative AI for internal Q&A, documentation, accelerating workflows, generating code, classifying/translating documents, creating marketing content, etc. The speaker mentions they had 260 initial AI use cases submitted internally.
How did AT&T attempt to manage the flood of generative AI use cases within the company?
-After 260 use cases were submitted in just 3 weeks, AT&T had business leaders vet ideas and nominate the most valuable for implementation rather than attempting to pursue all proposals.
What does the speaker's RHF acronym stand for regarding best practices with generative AI?
-RHF stands for: 1) Reinforcement learning: improve through a feedback loop 2) Human feedback: incorporate input from users
Outlines
😄 Introducing chatGPT and discussing technology disruptions
The speaker introduces chatGPT, noting how it seems disruptive and is being rapidly adopted. He reflects on previous technology disruptions he has witnessed in his career in technology, such as the rise of the internet, e-commerce, smartphones, and mobile apps. He emphasizes how generative AI like chatGPT has potential for broad impact across industries.
😲 Generative AI use cases at AT&T
The speaker discusses the wide range of generative AI use cases at AT&T across business functions like customer service, coding, education, healthcare, marketing, translation, document classification and summarization. He notes the rapid influx of 260 proposed use cases in just 3 weeks, more than they can handle currently.
🤔 Reflecting on lessons from past disruptions
In light of the rapid changes, the speaker reflects on lessons he has learned from previous technology disruptions during his career. He advises the audience to "get there fast" and adopt new skills early, to think broadly across domains in how they apply skills, to build something novel rather than rely solely on existing models like chatGPT, to move from information to recommended actions to automation for greater impact, and to iterate based on user feedback.
Mindmap
Keywords
💡Disruption
💡ChatGPT
💡Adoption
💡Enable
💡Automate
💡Iterate
💡Language models
💡Entrepreneur
💡Workforce
💡Skills
Highlights
ChatGPT seems disruptive and is being adopted very quickly
ChatGPT appears to impact many industries and areas of business
AT&T is using chatbot technology like ChatGPT for many internal use cases
Chatbot assisted teams at AT&T were 20-50% more productive in trials
260 initial AI use cases came in from AT&T business units in just 3 weeks
Being an early adopter of new technologies can provide a competitive advantage
Broadly enable yourself with chatbot skills instead of specializing narrowly
Large language models like ChatGPT may become a commodity, focus on novel applications
Consider going beyond information to recommended actions and automation
New graduates have unique advantages to adopt chatbot technologies
Now may be the best time ever to explore chatbot entrepreneurial opportunities
Join AT&T data science programs to get hands-on chatbot experience
Iterate chatbot applications based on user feedback for continuous improvement
The next major tech company may only need 10 people because of chatbots
English is becoming the new code, you can generate apps by describing needs in plain language
Transcripts
[Music]
so I was trying to think about what am I
going to talk about what do I think
about what's happening there's been two
talks brought up chat GPT I'm going to
give you a third one okay what do we
think is actually happening with that
ever since chat GPT came out earlier
this year it's like oh my gosh how do I
survive how do I win in this world what
am I going to do so I started thinking
well this thing looks
disruptive um well wait a minute I've
seen some disruptions I mean I'm old I'm
from three technology disruptions ago
but I'm not that old 1890s still have it
right but I have seen three internet
technology disruptions the first one I
saw is when I graduated I'm the only
Georgia Tech one here about the 1990s
the internet was blowing up worldwide
web search happened
email it was so strange when I first
started Bell South I was one of the
first people to get email I was like
what do you mean I had it at Georgia
Tech you're just getting it now and then
all of a sudden 2002 retail started I
see my colleague from Amazon here right
Amazon came on the scene the cloud
started happening another disruption and
then I was in Wireless operations I was
trying to plan this the the cellular
network and we thought we're doing fine
until the iPhone came out data blew up
right overnight 2007 we couldn't put in
radios fast enough in the towers like it
was hard to keep up why was that they
made it usable they gave us mobile apps
social happened it was a big thing it
was a big big disruption so today I
happen to be fortunate to be in the
chief data office I can do Ai and data
science generative AI is blowing up I'll
tell you 80% of everything we do is
generative AI chat GPT type stuff and I
was trying to think of disruption I
couldn't think of this whole work from
home thing I could not work from home
because of those disruptive dogs Milo
and Quincy okay but I'm not talking
about that today I'm talking about
generative AI now disruption what do we
mean by that there's the definition
there right something that significantly
Alters the way consumers Industries and
businesses operate and I showed you
these things what are the companies that
did this Google right disrupted search
disrupted advertising
Amazon you don't buy books you know in
the book store anymore you go bid them
online but all this thing online retail
we talked about Apple with smartphones
but notice these things they're kind of
in an area right and if you think about
generative AI who's going to be the
winner there maybe Nvidia maybe an open
AI I think they were valued at 90
billion but what's different is that
question below it feels different it
feels like it's almost affecting
everything right now what else is
different
the adoption is so fast have you seen
this Chad GPT two months 100 million
people right Netflix was 18 months look
at that right the fastest ever now
here's the thing that blew my mind we
look at it today it almost affects
everything this is the percent impact
right what scared me was like the first
one wait a minute that's me D science
right right customer care programming
you're probably using it to write code
right hack code fix code right we use it
all the time education you know sitting
talking about me do my homework right
there right healthare everything right
percent it's like it's everywhere this
is disruptive right now I want to give
you a feel for AT&T okay I told you 80%
of the stuff we're doing is that now let
me show you some of the use cases right
Chad gbt is great you get answers but
does knows nothing about AT&T I can't
ask it how many days off do I get if
I've been here 5 years at 18t isn't no
right I can't ask ask a finance question
can't ask a network question so we have
so many use cases I want to do I want
those answers I want them fast I don't
want to search for it I just want to ask
a question so we're enabling all these
business units to ask questions by
teaching it about
AT&T on top of that we have the outof
the boox thing coding right generate
some code fix this code migrate this
code we did a trial we put one group you
said you can't use ask at we call chat
gpts ask AT&T internal it's our own
private instance we said you can't use
it you can the people that used it 20 to
50% faster depending on who you talk to
okay huge productivity gain but it's not
just data it's not just documents it's
not just code now we have English as the
new code we just write it I don't have
to write SQL I say tell me how many
customers post bait I had last month
boom there it is right so it's amazing
we have all these other use cases
marketing create me some content right
uh translate this from English to
Spanish we have so many customers that
that speak Spanish they call us all of
our documents are in English they have
to translate on the fight why don't I
just do that for them right classifi
documents summarized documents now to
give you some feel for how disruptive
this is we put out something said tell
us your use cases and in three weeks we
had 260 use cases across all the
business units we had to shut it down we
couldn't we couldn't take them all so we
said is okay it's too many we're going
to nominate Business Leaders you vet
them and you bring them to us and then
we'll figure out which are the most
valuable ones now what does that mean to
me what does it mean I'm on the top of
the list there right and you should
think about it too it's like hey I'm
graduating what does that mean to me
what if I go in the corporate world the
other thing you might think about is is
this an opportunity to be an
entrepreneur so I kind of think about
those those two personas as we go
through this here now I did a lot of
thinking is like what have I learned
of these past disruptions and what have
I learned at AT&T that maybe gives some
Clues as to how might you win in this
world and it happens to actually spell
gen the first one is the first principle
is get there fast okay no matter what I
see Sydney had a great example she came
up with this great idea we're the first
in line with the great idea we get
funded okay the same thing happens right
get there fast right so think about if
you're coming out you're going into AT&T
or the industry you're coming out with
some of these skills you're going to be
in the in this workplace some people
have been there 20 30 I had a person in
my group was there 54 years okay some of
them might not want to learn the new
thing right you're coming out you can
take advantage of that right because
you're going to be sitting let's say you
go into coding right and this person
next to you let's say they do it and you
don't they're going to be 50% faster
right you got to have it to compete now
what if you're an Entre you want to do
entrepreneur thing you if you look at
these big disruptive things what it
looks like is if you get there fast it's
almost a winner take all if not most
right look at the market share of those
folks right AT&T Apple dominates they
dominate everywhere in smartphones right
so think about that also right get there
fast um for both cases no matter which
way you go now the next one is enable
yourself broadly what do I mean by that
I'm showing you ask ATT here this is our
own internal Chad gbt I just ask the
write some code that's good for you but
could you actually do something more now
let's say you're in that developer role
that second role right there right if
this thing is so powerful you could be
more productive but you actually might
be able to do some of those other roles
too so it might not look like that it
might look like this right you can
possibly pick up some of those other
things in fact they say the next billion
doll company in the next few years might
only be 10 people why because of this
thing okay so don't think you're narrow
in fact we're doing it now we actually
crowdsource the requirements from all
the comments we put in chat gbt all the
comments we create requirements and then
we create code directly from them just
cut out that whole thing right so super
powerful look to the left look to the
right now of course if you're going to
do something you got to have features
got to be something new what is that
going to be in this gen world is it
going to be these large language models
Chad GPT is that it let's say Chad GPT
is off to the right there that's the
reference okay did you know that when
they put out the open source in 3 weeks
they were 92% of the quality of chat GPT
that might be actually a commodity at
some point so what are you going to
do well let take the lessons from the
internet I think AT&T is 20% % Victor
will correct me 20% of the world's
traffic we carry it's a bit of a
commodity right look at where all the
value was on top all those folks got the
dollars there right it might be the same
thing here the large language models
might be a commodity think about doing
something on top of them like Sydney had
Ops GPT did it on top of it I didn't I
wasn't limited by it right so that's
where the value is now this one is maybe
not so obvious let me try to explain it
automated ACC
now chat GPT is great you get
information okay information from chat
GPT that's cool information about your
own stuff that's even better right what
if you get information in recommended
actions okay now I can actually do
something what if you automated those
actions even more value right let me
just give a quick example summarize this
public data okay chat GPT summarize my
meeting we're doing it today you take
the transcript you automatically
summarize the meeting boom I don't have
to take notes what if I create all the
action items too that's even more
valuable what if I automated the action
items send this email set up the next
meeting do this reboot this thing right
that's where the value is so think of
the full thing go to actions the last
one might be a bit obvious but iterate
you're not going to get it right the
first time right if you ever put in chat
gbt type a question o that wasn't what I
wanted let me try it again iterate on
top of it you're going to have to try it
check it bounce it off users in the
large language model they did this this
term rhf reinforcement learning with
human feedback okay get that feedback so
in a nutshell get there fast enable it
broadly do it novel go to the actions
and iterate now let's think back again
right you're here at SMU and you're
thinking about what is this for me you
got have unique advantages you're young
you're adaptable you can go in the
workforce if you adopt these
things you're going to be productive
you're going to have folks that and
they're a long time they're tired of
that right they don't want to learn the
next thing now the other thing is what
if you want to do the entrepreneur thing
there might never be a better time this
thing is so disruptive right touching
everything anyway think about that we'd
love to have you at AT&T join our data
science scholar program or talk to us
afterwards
[Music]
Browse More Related Video
OpenAI's STUNNING "GPT-based agents" for Businesses | Custom Models for Industries | AI Flywheels
Open Challenges for AI Engineering: Simon Willison
PELUANG DAN TANTANGAN INDUSTRI 4 O I JUMADIL DWI ZULSTRA
4 ERRORI che stai facendo con ChatGPT (Tutorial)
How to Stay Ahead of AI in Tech Jobs
Using ChatGPT to grade essays and give detailed feedback: For Teachers
5.0 / 5 (0 votes)