LIVE | Microsoft CEO Satya Nadella's Keynote Address On The Potential Of Next-generation AI | N18L
Summary
TLDREl script aborda la revolución en la tecnología de la información y la gestión, con la introducción de un nuevo motor de razonamiento neural. Se enfatiza la importancia de la adopción de productos como los co-pilotos y la necesidad de integrar tecnologías AI en todos los sectores de la economía para impulsar el crecimiento. Se destaca la misión de Microsoft de empoderar a cada persona y organización en India, así como la iniciativa de capacitación en habilidades de AI para más de 2 millones de personas. Además, se mencionan ejemplos inspiradores de cómo la AI está transformando la vida en India, desde el sector tecnológico hasta la agricultura y la movilidad social.
Takeaways
- 🌐 La nueva capacidad de razonamiento neural permite una mejor comprensión del mundo digital y revoluciona la pila tecnológica.
- 📈 La inversión en tecnologías como la inteligencia artificial tiene un impacto directo en el PIB y el crecimiento económico de un país.
- 🚀 Las empresas Microsoft se centran en empoderar a personas y organizaciones en India para participar plenamente en la era de la inteligencia artificial.
- 🛠️ La adopción de productos como los co-pilotos de IA es fundamental para mejorar la productividad y romper los silos de especialización.
- 🔄 La transformación digital a través de la nube y la IA es la misma, y es la manera en que Microsoft se comunica con sus clientes y optimiza sus procesos empresariales.
- 💡 La implementación de IA en empresas como Axis Bank y HCL Tech muestra cómo se están adaptando sus flujos de trabajo y mejorando la eficiencia.
- 🌟 La infraestructura de Microsoft, desde el nivel de la infraestructura hasta los modelos de aprendizaje automático, está diseñada para apoyar la creación de productos de IA por parte de sus clientes.
- 🔧 Microsoft expone su pila tecnológica a los usuarios para que puedan construir sus propios productos de IA, aprovechando los servicios de Azure y otros recursos.
- 🔐 La seguridad y la confianza son fundamentales en la era de la IA, y Microsoft ofrece soluciones para proteger los datos y garantizar la conformidad con marcos éticos de IA responsables.
- 📚 La capacitación en habilidades de IA es esencial para el éxito en la nueva era tecnológica, y Microsoft tiene la iniciativa de capacitar a más de 2 millones de personas en India.
- 🌍 La capacidad de resolver problemas en India demuestra el potencial global de las soluciones de IA, ya que si se puede hacer en India, se puede hacer en el mundo.
Q & A
¿Qué implica la nueva capacidad de razonamiento neural para el mundo digital actual?
-La nueva capacidad de razonamiento neural representa una herramienta avanzada para interpretar y dar sentido al mundo digital, permitiendo una comprensión más profunda y efectiva de los datos digitizados, lo que a su vez puede revolucionar la estructura tecnológica existente y tener un impacto significativo en el PIB de una economía.
¿Cómo se relaciona la inversión en tecnologías generales de propósito con el crecimiento económico de un país?
-La inversión intensa y cross-sectoral en nuevas tecnologías generales de propósito, como es el caso de la inteligencia artificial, puede marcar una diferencia significativa en las perspectivas económicas futuras de un país. Un ejemplo histórico es la inversión del 10% del PIB del Reino Unido en el sistema de ferrocarril durante la Revolución Industrial, lo que sentó las bases para su crecimiento futuro.
¿Cuál es la misión de Microsoft en la India en el contexto de la inteligencia artificial?
-La misión de Microsoft en la India es empoderar a cada persona y organización para que pueda participar plenamente en la era de la inteligencia artificial, fomentando el crecimiento económico y la innovación en todos los sectores y regiones de la economía india.
¿Qué es un co-piloto en el contexto de la inteligencia artificial y cómo puede afectar la productividad?
-Un co-piloto es una herramienta de inteligencia artificial diseñada para complementar las capacidades humanas, facilitando la obtención de experticia a un simple clic y mejorando la productividad en tareas variadas. Su adopción puede cambiar drásticamente la forma en que se realizan las tareas, rompiendo los silos de experticia y acelerando el progreso en áreas como la cadena de suministro, ventas, derecho y más.
¿Qué implicaciones tiene la implementación de co-pilotos en diferentes sectores de la economía india?
-La implementación de co-pilotos en diversos sectores de la economía india puede aumentar la velocidad y la eficiencia en la toma de decisiones y en la ejecución de tareas, permitiendo una mayor producción y una mejora en la calidad de la salida de todos los sectores involucrados.
¿Cómo están las empresas en la India adoptando la inteligencia artificial en sus operaciones?
-Las empresas en la India están adoptando la inteligencia artificial de manera rápida y amplia, integrándola en sus procesos comerciales, de gestión de proyectos, análisis de datos y más. Empresas como Axis Bank, HCL Tech y M tree están adoptando co-pilotos y adaptándolos a sus flujos de trabajo específicos, lo que demuestra un alto grado de compromiso con la innovación y la mejora continua.
¿Qué es la iniciativa de habilidades en AI que anunció Microsoft para la India y cómo beneficia a la población local?
-La iniciativa de habilidades en AI de Microsoft tiene como objetivo capacitar a más de 2 millones de personas en India con habilidades en inteligencia artificial. Esto ayudará a la fuerza laboral local a prepararse y prosperar en la nueva era de la tecnología, creando nuevas oportunidades de empleo y fomentando el crecimiento económico a través de la educación y la capacitación en tecnologías emergentes.
¿Qué es la plataforma kara y cómo está contribuyendo al desarrollo económico en rural India?
-Kara es una organización que se basa en la inteligencia artificial para crear soluciones que ayudan a comunidades en el campo de la India. Ofrece trabajos bien remunerados en la etiquetaje de tareas AI a personas en zonas rurales, lo que no solo mejora sus ingresos sino que también contribuye a la creación de oportunidades económicas en áreas que de otro modo podrían estar desatendidas.
¿Qué es la plataforma Jogle Bundi Studio y cómo está siendo utilizada para el empoderamiento social?
-Jogle Bundi Studio es una herramienta de codificación de bajo nivel que permite a las personas crear aplicaciones de inteligencia artificial personalizadas. Está siendo utilizada por organizaciones benéficas y sociales para brindar información y servicios a grupos como los trabajadores migrantes, mejorando su acceso a servicios y oportunidades en nuevas localidades y empoderándolos a tomar decisiones informadas.
¿Qué medidas están tomando para garantizar la seguridad y la confianza en la inteligencia artificial?
-Para asegurar la seguridad y confianza en la inteligencia artificial, se están implementando medidas como entornos de confianza cero, salvaguardias para proteger los datos y la propiedad intelectual, y un marco de inteligencia artificial responsable que incluye principios, estándares y procesos de auditoría para garantizar que la IA se desarrolle y utilice de manera ética y segura.
¿Cómo están las empresas en la India aprovechando la inteligencia artificial para transformar la experiencia del cliente?
-Las empresas en la India están utilizando la inteligencia artificial para crear agentes virtuales que pueden interactuar con los clientes, proporcionándoles asistencia personalizada y procesando transacciones de manera eficiente. Esto mejora significativamente la experiencia del cliente, facilitando la interacción y la planificación de viajes, por ejemplo, en el caso de Air India.
¿Qué es la plataforma de datos y cómo está ayudando a las empresas a mejorar sus operaciones con inteligencia artificial?
-La plataforma de datos es una solución que integra el almacenamiento de datos y el cálculo de inteligencia artificial, permitiendo a las empresas acceder a todos sus datos y aplicar el procesamiento de IA en tiempo real. Esto ayuda a las empresas a tomar decisiones más informadas y agilizar sus procesos operativos, mejorando la eficiencia y la toma de decisiones.
Outlines
🌐 Revolución Tecnológica y su Impacto en el PIB
Este párrafo aborda la evolución hacia la digitalización y cómo la introducción de un nuevo motor de razonamiento neural transforma completamente la pila tecnológica, impactando potencialmente en el PIB. Se destaca la importancia de la inversión intensiva en tecnologías generales y su implementación transversal en la economía para el progreso de un país. Utiliza el ejemplo histórico del Reino Unido invirtiendo en su sistema ferroviario durante la Revolución Industrial para ilustrar cómo la inversión en tecnología impulsa el crecimiento económico. El papel de la inteligencia artificial (IA) en este contexto se resalta como un factor clave para el futuro crecimiento económico, especialmente en mercados de alto crecimiento como India.
🚀 Transformación Impulsada por la IA y Adopción de Copilotos
El segundo párrafo se enfoca en la transformación empresarial impulsada por la IA, específicamente en la adopción de 'copilotos' de IA para mejorar la productividad en diversas áreas como la cadena de suministro, ventas, y desarrollo legal. Argumenta que la adopción de estas herramientas es crucial para romper silos dentro de las organizaciones, cambiando fundamentalmente la manera en que se procesa el conocimiento y se realizan las tareas. Ejemplos de empresas indias adoptando estas tecnologías muestran cómo la IA está siendo integrada en los flujos de trabajo para optimizar procesos y fomentar la innovación.
🌍 Infraestructura y Modelos para la Innovación en IA
Este párrafo detalla los esfuerzos de inversión en infraestructura y desarrollo de modelos de IA como fundamentos para la innovación tecnológica. Se menciona la expansión de la infraestructura de computación para soportar la IA a gran escala, incluyendo la formación de modelos y la inferencia en tiempo real. Destaca la importancia de la diversidad en el hardware de silicona y cómo los avances en la IA están redefiniendo la arquitectura de los sistemas centrales, prometiendo una reducción continua en los costos gracias a la ley de Moore. Además, se hace énfasis en el desarrollo de modelos de lenguaje de última generación y modelos de IA más eficientes y accesibles.
🔬 IA y la Revolución Científica
Se discute cómo la IA puede acelerar significativamente el progreso científico, especialmente en campos como la química, la ciencia de materiales y la biología. La IA se presenta como una herramienta capaz de emular procesos y reducir el espacio de búsqueda para el descubrimiento de nuevos materiales o fármacos, citando el ejemplo de un desarrollo que redujo el contenido de litio en las baterías en un 70%. Este párrafo enfatiza el potencial transformador de la IA para condensar siglos de avance científico en décadas, facilitando así transiciones energéticas críticas y avances en diversos campos de la ciencia.
🏆 Aplicaciones Prácticas y Empoderamiento mediante la IA
Este segmento explora diversas aplicaciones prácticas de la IA en empresas y en el sector público, mostrando cómo estas herramientas están siendo utilizadas para optimizar procesos y mejorar la toma de decisiones. Ejemplos incluyen el uso de agentes de IA en Air India para asistencia al cliente, el desarrollo de bots para agricultores por ITC, y la adopción de IA en el sector legal para analizar contratos. Se destaca el impacto positivo de estas aplicaciones en la eficiencia operativa y la capacidad para romper barreras de conocimiento, mejorando la calidad del trabajo y la toma de decisiones en diversas industrias.
🛡️ Seguridad, Privacidad y IA Responsable
El último párrafo aborda la importancia de la seguridad, la privacidad de los datos y el desarrollo responsable de la IA. Se discuten las medidas de seguridad implementadas para proteger la infraestructura de IA y los datos de los usuarios, asegurando que la propiedad y la privacidad sean respetadas. También se menciona el compromiso con la indemnización por derechos de autor y el marco de IA responsable de la empresa, destacando la necesidad de procesos auditables y principios éticos en el desarrollo de tecnologías de IA. La sección subraya el compromiso con la construcción de un entorno de IA seguro y confiable.
🌟 Empoderamiento Social a través de la IA
Este párrafo se centra en la iniciativa de una empresa social que utiliza soluciones basadas en IA para promover la movilidad social en la India rural. A través de la grabación de datos en lenguas maternas y la creación de conjuntos de datos valiosos, esta empresa está mejorando significativamente los ingresos de las comunidades rurales. Se destaca el uso de servicios de IA y la infraestructura de Azure para validar y enriquecer estos conjuntos de datos, subrayando el potencial de la tecnología para resolver problemas a gran escala y mejorar la calidad de vida de las personas en regiones desatendidas.
Mindmap
Keywords
💡Inteligencia artificial (AI)
💡Transformación digital
💡Economía de India
💡Co-piloto (Co-pilot)
💡Infraestructura de tecnología (Tech stack)
💡Gobierno de India
💡Nube
💡Innovación
💡Seguridad cero (Zero trust)
💡Responsabilidad AI (Responsible AI)
💡Habilidades en AI
Highlights
The new capability of a neural reasoning engine is revolutionizing the tech stack by making sense of the digitized world.
AI has the potential to significantly impact GDP growth, as seen in India's high-growth market.
Investment in new general purpose technologies like AI can greatly influence a country's future prospects.
Microsoft's mission is to empower every person and organization in India through the adoption of AI technologies.
AI products from Microsoft are integrated into every aspect of the tech stack, not limited to one specific product.
The AI age is bringing expertise to one's fingertips, breaking down silos of knowledge.
Adopting AI co-pilots is critical for increasing productivity and transforming business processes.
AI transformation is not just about the technology but the tangible business outcomes it enables.
Three imperatives for driving business outcomes with AI include adopting AI products, utilizing Azure services, and focusing on responsible AI practices.
Azure's tech stack, from infrastructure to models, is available for businesses to build their own AI solutions.
Moore's law is very much alive in the context of AI, with costs continuing to decrease.
AI has the potential to greatly accelerate scientific research and development.
Microsoft is building the best toolchain for developers to create applications and democratize technology.
The data platform is crucial for AI applications, linking data with the reasoning engine for real-time insights.
Air India and ITC are examples of organizations leveraging AI to transform their operations and customer experiences.
AI can enhance human agency by providing access to information and enabling action in rural India.
Trust, security, and responsible AI practices are fundamental to the successful adoption of AI technologies.
Microsoft's initiative to skill over 2 million people in India with AI skills aims to empower the workforce for the future.
Organizations like Kara are using AI to create economic opportunities in rural India by bringing AI tasks to local communities.
Transcripts
category it's called Information
Management which is you every day you
get up you digitize a little more and
you make sense of the digitized world
now we have a new
capability uh of making sense of that
digitized world a new reasoning engine
uh which is a neural reasoning engine
which we can apply to an increasingly
digitized world and so these two things
a new user experience and a new
reasoning engine pretty much completely
revolutionize the entire Tech stack um
this ultimately is going to have an
impact on GDP right because at the end
of the day you can only talk about tech
uh as a real thing if it is going to
have a real impact in the overall growth
of an economy and in the in India's case
uh as Punit was saying definitely today
this is one of the highest growth
markets uh you see it the buoyancy of it
uh the government and all of you have
high Ambitions of what's going to happen
even by 2025 uh and what percentage of
that GDP growth is going to actually be
driven by AI are all I think going to be
very interesting numbers for us to track
in fact I was recently came across a
fascinating statistic in in the United
Kingdom during the height of the
Industrial Revolution they spent as much
as 10% of their GDP on the railroad
system and then the rest obviously is
history but I think that's another
understanding which is when you have a
new general purpose technology how
intensely you invest and deploy it
cross- sectorally inside an economy I
think makes difference uh to a country's
prospects going forward and that's why
that's exciting that we are at the early
stages of this adoption cycle but
rapidly scaling it um that's what we are
focused on at Microsoft our mission is
to empower every person and every
organization in India to be able to
participate fully uh to me that's what
you know gives me a lot of satisfaction
is to see new technology but applied in
unique intense ways uh across small and
large businesses across public and
private sector across every part of
Indian economy across every region of
India that's what's uh really our
mission that's why we have built this
into the entirety of tech stack people
say what is an AI product from Microsoft
it's called everything from Microsoft
there is not one product quite frankly
uh because we've gone plumbed it all the
way from the core infrastructure it's
fascinating the more I look at it you
know I get up in the morning and I'm
reviewing some data center plan uh the
everything from what we do on the
concrete to the hwx system to the
infrastructure are all being defined by
the power draw of AI systems I mean it's
not about like any one product but the
entirety of what we do has been is being
shaped um and the opportunity of
ultimately though you can even you know
we us to talk about digital
transformation all through Cloud that's
effectively the same thing which is the
way we engage our customers uh the way
we engage you know the experience
experience of our employees the business
processes and how they're optimized uh
and the space of just raw innovation in
any Enterprise all of these are the
ultimate outcomes that we will measure
ourselves by right so it's not about
tech for tech sake but it's a tech
applied for these business outcomes that
I think more so than I would say even in
the cloud era I feel that the ability to
tangibly say what is the change in the
business outcome I think we're able to
go to grock that uh much faster so it's
exciting time for AI
transformation um and AI driven
transformation um so in that context for
us I would say there are three
imperatives if I had to sort of even
look across what's happening around the
world uh what we ourselves quite frankly
are seeing inside the company there are
three imperatives of how you all can get
ahead um on uh driving those business
outcomes the first one is to just adopt
some of these products like co-pilots
Fast uh it reminds me quite frankly of
uh the first paradigm shift I was part
of which is the PCS uh you know even
it's interesting by the way PCS are an
interesting thing because if you even
take some of these critiques of uh the
impact of it in economic growth like
Robert Gordon uh the one thing that he
gives credit to is PCS in the late late
90s when they became standard issue and
part of uh work uh they changed
productivity in fact he will claim that
that was the last time it actually had a
direct relationship uh to productivity
stats um and obviously I take a lot of
pride in it but I feel this AI age is
very similar that is it's diffusing
right if you think about what PCS did
they brought information at your
fingertips this age of AI is really
really expertise at your fingertips
think you know what happened to
forecasting before PCS right before
email and spreadsheets how did we do
forecasting uh and then how did the
business process of forecasting change
same thing is happening now whether it
is supply chain whether it's sales
whether it's legal or what have you when
you can summon the expertise it's the
greatest Silo breaker and so that's why
I think adoption of co-pilots becomes
critical and we seeing all kinds uh of
productivity stats uh here but all of it
stems from this fundamental notion that
knowledge turns inside an organization
are changing right and you can come at
it horizontally whether it's Frontline
work or knowledge work or you can come
at it from business process sales
service software development security
operations so the tangible way you can
in fact my biggest encouragement for you
is to go deploy these tools create a a
cohort measure it yourself that's it uh
because you got to build your own
confidence that you can sense it see it
uh and that way you can drive it uh and
so that's what I think is very much
possible and you see all of these
statistics uh and in fact in in in India
uh that's what been most exciting for me
you know I've been sort of learning
about all of these uh use cases IT
services at some level you could say
it's existential for any one of us right
I was talking to Jensen the other day
he's got all of everybody
uh in Nvidia is deployed copile it makes
sense because he's his thing is like you
know like we will all be found out in
fact the firm level differences will
start showing up uh especially in Tech
uh in short order if you're not an early
adopter and so obviously that you see
even with the IT services in in this
country uh all going uh Fast and Furious
on it but it's just not that and in fact
I think Punit had these uh slides where
there is adoption across the board
across every sector of the Indian
economy and it's exciting to see just to
give you a flavor for it I was just
reading up about what axis Bank did this
is one of the the thing that I sort of
describe as the standard issue right
just like at some point everyone all of
us sort of said hey PCS a standard issue
co-pilot as a standard issue that's what
they're doing so they're basically
saying let's take the most horizontal
approach of having everybody equipped
with a co-pilot so that every piece of
knowledge work can be done fast somebody
described this to me as lean for
knowledge work I think that's a good way
to even think about it right which is
you're increasing the speed and the sort
of alignment across organizations so
that you can get things done with the
least amount of time and effort right
that's essentially the mindset uh so
that's kind of what axis is trying to do
um both um HCL Tech and um M tree are
also adopting this but they're also
adding their own workflows into it right
so it's not just the horizontal tools
that are baked in but in the case of HCL
a lot of their project management and
Bug triage is integrated into the
co-pilot in the case of mine tree even
the insights into how they drive their
Staffing for various projects is plugged
into it so in some sense it's not just
the one workflow that we have but you
can steer it to the workflows that
matter inside your Enterprise and wire
it all into the co-pilot so copilot's
understanding is not just what was
prefabricated it is what your Enterprise
is and that's exciting and in the case
of infosis the the this is probably one
of the bigger use cases of GitHub
co-pilot uh GitHub Co in fact if I go
back into my own belief in this entire
regime of AI if you will uh all came
about when I first saw gbd3 uh inside or
what became gbd3 inside of GitHub uh
co-pilot um and it's the most proven use
case it's the place where the
productivity stats are most robust I
mean it went from I mean remember
software developers are pretty skeptical
people right it went from this won't
work to oh my God I can't live without
it uh in the shortest amount of time uh
and it's exciting to see now this is now
being broadly deployed uh even across
organizations like infosis now the um
the next imperative of course is adopt
so the first thing is don't reinvent the
wheel get the co-pilots that have been
prefabricated whether it's sort of for
specific business processes like
software development or security or the
horizontal ones add your own data add
your own workflow so that's if that's
number one the number two is we are
exposing all of the tech stack we use to
build our co-pilots to you as first
class Azure services so that means
there's nothing magic about what we did
because you can take that same thing and
apply it to any anything you want to
build duvo as far as your own AI
products uh and so that's the second
imperative this co-pilot stack uh from
the bottom to the top is available to
you uh so for our investments here
obviously start with the raw
infrastructure itself right we have more
regions than any other hyperscaler
around the world in in India itself uh
we have uh three regions already fourth
coming on line we have the two regions
with Geo so we are definitely investing
to make sure that compute with low
latency at scale including all the AI is
available for all of you to be able to
take advantage we're investing a lot as
I said in making sure in fact when I
think back having started uh in our
Cloud group you know what now 15 years
ago um I I sometimes sort of wake up and
sort of can't recognize even the core
system architecture it's so rapidly
changing so we are investing a lot part
in making sure that the AI
infrastructure whether it's for large
model training or small batch training
or inferencing uh how do we make sure we
have the best performance on end uh so
that's something that we're doing across
multip and and having diversity of
silicon uh as well so we are very very
excited about the progress and some of
the Benchmark data uh that we have seen
uh is very very because here's the thing
right people talk about the death of
Mo's law let me tell you Moors law is
very much alive when it comes to to AI
right what used to be uh you know the
cost curves of AI are only going to come
down so that means a set of tokens in
and out today are going to follow the
mors law so that means when you're even
thinking about your AI project uh I I
tell my teams don't worry about cogs we
can know we can optimize cogs um and so
if you want to be the most ambitious
about being able to use this to create
the most value for your customers
partners and for the business and then
know that there is no other raw material
in the world that just drops in price
using Mor's law like this and so that's
if you talk about business leverage this
is business leverage um the next thing
is we have the raw infrastructure but
then we have these models right so these
are like the foundaries of this world
right so therefore you have the lot we
have the the best uh model today even
right with all the sort of hoopla you
know one year after uh still GPD 4 on
nlu take your benchmark and anyone still
is better uh we're waiting for the
competition to arrive it'll arrive I'm
sure but the fact is uh that we have the
most leading uh llm uh out there uh we
have all the open source models so it's
not about like even co-pilot is not
about just uh open AI models uh in fact
we use a combination of models uh in any
of our products which is what all of you
will use so we have in Azure the best of
Open Source models the best of Frontier
models uh we also are innovating in what
is is called the small language models
in fact one of the best if you go to
hugging phase today uh you'll find that
fi is the leading small language model
uh and it's a pretty cool research uh
finding right which is you can take a
slightly different approach uh to
learning as opposed to thinking of all
tokens as equal if you took a cognitive
approach to like for example the
original book or the original paper on
uh Transformers was attention is all you
need uh the paper we wrote uh was
textbooks is all you need uh and it's
intuitive right when you're learning
something uh you would rather go to a
textbook and learn versus saying let me
run from all the text that was ever
written about a subject so that
intuition is what's leading to these
small models actually performing on par
with some of the largest models so we're
very very excited uh about the slms
these are the things that can run on on
your phones and on your PCS as well as
obviously in the cloud at scale and you
can cost stop optimized going back again
to that morw point so you can think
about llms and slms all playing a role
in how you build out your products the
perhaps when I look at the thing that
I'm most excited about uh is uh what I
think all of this can do for Science and
the acceleration of science clearly I
think knowledge work Frontline work um
like whether it's software development
whether it's the everyday uh knowledge
work will be revolutionized
but if I think about one of the pressing
challenges we as a society have is we
have to take whatever the 250 years of
science right they take energy
transition we're not going to make it to
the other side um if we don't compress
maybe 250 years of development of
chemistry into perhaps the next 25 years
uh so we need some new way to even
change the scientific process and its
curve uh and that's where I think AI can
help um AI ENT the way we think about it
is like if you want to simulate in
silico uh that's where high performance
Computing is used right if you want to
even simulate a single molecule or
molecular Dynamic cells and then all way
the complex systems of course the real
breakthrough there will be Quantum but
the interesting thing AI does is AI is
kind of like an emulator that or it
reduces the search space so that you can
for example if you want to build a new
material uh you can discover that new
material or generate in fact generative
diffusion models like matter genen that
we developed are allowing us to build
new materials and in fact we round
tripped one such example recently we
worked with one of the National Labs in
the United States and essentially
generated a new material which reduce
the lithium content in a battery by 70%
right I and I really wanted my team to
show me this that this is a complete
roundtrip so it's not just oh we
generated something in silico but can
you fabricate it and put it back back
into a battery of course we're not a
battery company but think about this in
the hands of somebody who is in the
battery business right so you're not
just building batteries you're able to
kind fundamentally change the frontier
of science uh that helps you build the
next generation of batteries this is
happening in chemistry it's happening in
material science uh it is going to start
happening in biology it's obviously drug
discover you know drug being able to
generate new molecules for drug
Discovery are you know is easy it's the
drug discovery process which is going to
be the more complex one but nevertheless
we're definitely uh very excited about
what AI for science means so we're now
imp thinking of this as first class just
like as you thought about Microsoft 365
for knowledge work you will sort of come
to and we'll do this through partnership
so that's why I think it's very exciting
in a country like India where there is
so much investment and so much Capital
going into the core basic science uh
driven Industries to be able to really
come help India leap froggy even some of
the Scientific Revolution would be very
very exciting um to harness all this
we're building the best tool chain in
some sense one of the things that I take
great satisfaction from is we are a
tools company that's how we got started
in 1975 and here we are in 2024 and we
get a real kick out of building the best
tools for developers uh whether it's
GitHub whether it's vs code whether it's
the low code no code tools and Power
Platform uh all of these things coming
together and the power of all of this
technology has to be democratized so
that people can build applications at
the end of the day uh and that's what
our goal is uh with the entire tool
chain the other very very important part
of the teex stack is the data platform
right so if you think about a reasoning
engine if you want to build an
application it's about taking the data
you have and using this reasoning engine
on top of the data and so we are
bringing essentially AI compute to all
of the data in its all its forms whether
it's operational stores whether it's
analytical stores linking these two
things in real time uh in fact one of
the things that I'm very sort of excited
about is a product called fabric uh and
what we did is I I think of it as the
product built for the AI age because it
separates out uh the core storage from
compute and with even the business model
so that means I can build a application
which is using all the data in one Lake
and I can have different types of comput
sometimes it's SQL sometimes it's spark
sometimes it's Azure open AI there are
three different types of compute jobs
that can all be brought in on the same
data or different data uh joints if you
will and so that to me is a very
breakthrough uh way to think about your
data uh in the context of AI so this is
this is a one of the a lot of people
talk about their AI projects the first
thing is you got to get your data house
in order in order to be able to get uh
the best value out and that's why you
see the adoption Cycles even in India
even though the cloud adoption in India
was a lot slower than what what happened
in the rest of the world but the fact
that it has happened is what's helping
anyone today take AI without any of that
diffusion uh impedance or delay if you
will because you're already in the cloud
your data is already in the cloud and
you're able to rapidly they turn it
around and adopt something like a new
reasoning engine on top of that same
data uh lots of interesting um uh
customer use cases um uh here and I
think Punit had many uh of these
examples and I had a chance this morning
to visit with a few of these folks and
really learn about how they are going
about building things and they're really
inspirational right uh uh take Air India
uh if what Chandra was telling me is how
he's really inst instructed the team
there to accelerate everything that
they're doing right essentially from
lack of um he was telling me you know
they're just putting in all of the
systems uh that had like a lot of
deficit but rapidly getting into uh you
know place where they're leading in fact
going from not having systems to Leading
with some of those experiences so the
thing that they built for example was an
agent an AI agent for the customer it's
one of the leading uh uh products uh out
there so if you go to the Air India home
you know homepage on the web you can
speak to this uh AI agent complete your
entire transaction and travel planning
and they have like high ambition on it
uh and they have on the back end of it
as well they're also creating a bunch of
agents to streamline the business
process not just on the front end to the
consumers I had a chance to meet with
the ITC team that they're building this
um uh essentially a bot for the farmers
uh to be able to then get all the
knowledge they need uh because in some
sense in a vernacular language to be
able to access all of the information
and to be able to even take action uh
right this is the other very interesting
site or rather interesting Dimension to
this which is it reduces the expertise
required to use Computing and the
knowledge that is accessible right so
that is why I think in India the most
exciting thing is for the quality of all
Indian output to go up because it sort
of helps reduce the barrier I think that
that's going to probably be uh an
example in in farming um arnd uh they're
you know this is a fascinating use case
so they obviously uh have been in
business for 100 plus years and here
they are using AI to for example for
their legal department to say let's make
sense of contracts faster let's
understand risk uh and what have you
very obvious use case after all any
lawyer or anyone in the legal department
who spent a a lot of time uh trying to
assess uh risk On Any Given contract the
easiest use case is to just be able to
use gen to think you know make sense of
it but the interesting thing is for
their commercial teams to effectively
summon the legal expertise right right
at the point when the contract or the
RFP is even being issued that's the real
transformation the real transformation
is when the expertise silos are broken
right so you don't have to wait for
finance to at the end of the quarter
tell you all the mistakes you made or
for legal to tell you all the risks you
took without knowing right so it's the
ability to bridge that expertise Gap
just in time that's why I kind of think
of this as lean for knowledge work uh
that's what they're doing um and then
the last example was very inspirational
like last time I was here I saw the the
the demo of jugal bandi and I spoke
about it many many times because it was
just a drop you know it's like drop the
mic moment for me to see how this
digital public good and Bash combined
with jugal bandi was being used to
transform lives of people in rural India
speaking in vernacular languages uh and
being able to not only get access to
information and knowledge but to take
action right that I mean talk about
human agency in the age of AI being
enhanced that was an example and now the
team has even built a fantastic thing
called jugle Bundy Studio which is a no
code lood Tool uh for people to be able
to build these BS and make them
available to all of the uh social
entrepreneurs the nonprofits who are
doing things um and so I had a chance to
meet uh the folks uh from uh one of the
nonprofits or social Enterprise called
aami and they built a thing for uh
migrant laborers coming in uh and for
them to be able to access uh this
information uh it's called bundu Uh so
therefore somebody who comes in from say
Rural and prades into Bangalore is the
example they showed and sort of in
speaking in telu perhaps getting access
uh to information on how they can get
housing how should they go about getting
the right terms all of the things then
think about the sort of you know
reducing the um i' would say the stress
of being able to get to Services when
you come into a new place across uh the
the you know across India is fantastic
to watch the empowerment it gives to the
end the end citizen here but also the
empowerment to all of the social
Enterprises to be able to use something
like this to make a real difference is
fantastic to watch um so those are some
some of the f i that the ability for you
all to build your own AI applications is
never been easier never be and and I see
it at scale in India so that brings me
to the last imperative which is
ultimately trust uh because in some
sense as we talk about AI we got to talk
about safety and Trust as first class CL
part of it um it it has a couple of
different dimensions the first one is
the dimensional security right because
again just like how data is important
securing your entire AI estate is
important whether it's the end points
whether it is the identity uh whether
it's infrastructure or your applications
this is where the zero trust environment
uh that we have sort of evangelized and
built the product suite for uh becomes
very very important because you can't
talk about security you've got to
operationally operate it right or you
have to have operational security
posture that matches your rhetoric
around security and uh this is everyday
exercise uh as somebody said to me you
can't get fit by watching others go to
the gym you got to go to the gym and
this is uh a place where you got to
practice that um the second uh piece is
uh the safeguards that we have put in
place because one of the questions
people ask is look in this age of AI
who's who what what's happening with my
data is my data my data it's absolutely
your data will always be your data uh
your data is not used to enrich anybody
else's models um uh your AI model so if
you build let's say a fine-tune model
and you deploy it it's protected by
using the same security boundaries that
we talked about uh and also our
commitment to copyright uh
indemnification because at the end of
the day uh this is all going to be you
know a societal decision effectively
what is fair use what's the
transformative use of data
uh very important by the way it's
fascinating to watch countries like
Japan and others take very enlightened
stances around copyright uh because they
have sort of seen what has happened um
you know in other Paradigm shifts where
perhaps they over regulated uh so I
think this is something that I think
each diff each country will choose its
regime the global Norms will emerge but
copyright is something that we are are
very much on the Forefront of and making
sure that there's indemnification
directly from us um and then then the
last thing is of course the responsible
AI framework and even here the you have
what we have done is we have the
principles we have taken those
principles and translated them into a
set of standards and those standards are
implemented uh as a set of processes
starting at the engineering so these are
not just things that we talk about but
they're core part of the Engineering
Process and we have an audit function
right because it's not just about saying
things that you literally have to have
an audit function where you go in and
say are you managing the process the way
you said you are and so this is how we
approaching it all of this is available
as effectively a set of services for you
so whenever you are thinking about
building your own AI applications you
can go ahead and Implement effectively a
robust responsible AI framework uh
around your own AI development so uh so
that's really uh the three imperatives
that I at least wanted to share with you
um I want to wrap up where I started our
mission at the end of the day is to
Empower every person and every
organization in India uh to be able to
achieve more in this age of AI and in
that context I'm very excited today to
even announce a new initiative around
Skilling uh we are going to C 2 million
plus uh people in India with AI skills
uh we think that obviously at the end of
the day uh really taking uh the the
workforce and making sure that they have
the skills in order to be able to thrive
in this new ages the most important
thing that any of us can be doing and we
are you know happy to play our role in
it but it's not just the skills but it's
even the jobs that get created and in
this context I was very inspired when I
had a chance to meet uh with the folks
behind Kara in fact it was uh the
founder of Kara was telling me about how
a lot of the research that you know was
the the foundation of it came from
Microsoft India Microsoft research in
India it's fantastic that it's now
translated into this thriving uh
organization that is taking essentially
what is AI tasks of labeling uh and
bringing those jobs very you know wellp
paying jobs to rural India um and being
able to really create Economic
Opportunity uh that is pretty unique and
it's fantastic to see not only people in
you know who are software developers
participating which we know GitHub for
example in India has more AI Engineers
or the AI engineering community is
second to the United States in India uh
but you even see that R in rural India
people are participating uh in the AI
economy uh thanks to the work uh of
organizations like Kara is fantastic uh
to see and so let me I think we'll roll
the video and you'll get to chance to
meet some of the folks uh who are part
of
this India has 22 official languages and
morati is actually a language that is
spoken by millions and millions of
people but unfortunately many Indian
languages are under resource we cannot
let language be the thing that does not
allow you to use technology AI is a
transformative technology people deserve
to have access to these amazing
Technologies in their language Cara
exists to accelerate social mobility in
rural India by building AI based
solutions to help communities our
workers record sentences in their mother
tongue on their smartphones and for the
simple task we pay them nearly 20 times
the Indian minimum w and that leads to a
data set so they keep on making
royalties every single time those data
sets are resold I think it is imperative
that if we are changing someone's income
structure in this way that we also need
to help them understand financial
literacy
K's platform is hosted on Azure we use
Azure cognitive services for our own AI
based validation work and we also using
a your open
AI if you can solve it for India you can
solve it for the
world
uh anyone may have we have mic's flowing
around just raise your hand and a
question yeah go
ahead
all
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