Amit Walia, Informatica | Informatica World 2024

SiliconANGLE theCUBE
22 May 202417:07

Summary

TLDRIn this interview at Informatica World, CEO Amit Walia discusses the company's focus on data readiness for AI, highlighting the importance of complete, high-quality, and governed data for AI models. He emphasizes Informatica's role in data management and their platform's ability to support AI-driven digital transformation, while also touching on the evolving role of Chief Data Officers in strategic decision-making.

Takeaways

  • 🌐 The conference tagline 'everyone's ready for AI except your data' reflects a common concern among Informatica's customers, highlighting the need for data readiness for AI applications.
  • πŸ” Informatica's focus is on data management, ensuring that AI models receive complete, high-quality, and governed data, which is crucial for effective AI operations.
  • πŸ’Ό CEO Amit Walia emphasizes the complexity of enterprise data environments, which include numerous apps, data silos, and cloud platforms, and the importance of Informatica's role in managing this complexity.
  • 🌐 Informatica has built a metadata system of record, similar to what Google did for the worldwide web, to manage enterprise data, which powers their IDMC platform.
  • πŸš€ The IDMC platform is scaling rapidly, handling 92 trillion transactions per month, demonstrating Informatica's commitment to supporting large-scale data management needs.
  • πŸ”§ Informatica's pivot to an all-cloud strategy and the development of new products on the IDMC platform has positioned the company to support AI-driven digital transformations.
  • πŸ€– The company's AI engine, CLA, and its recent addition, CLA GPT, are designed to provide a holistic platform for digital transformation, including AI-driven initiatives.
  • πŸ† Informatica prides itself on being the 'Switzerland of data,' supporting any data format, cloud, database, or application, and aims to maintain this neutrality in the AI and LLM space.
  • πŸ’‘ Data quality and governance are highlighted as critical components in ensuring that AI systems provide accurate and reliable results, underlining the importance of Informatica's role in data management.
  • πŸ“ˆ Informatica's approach to data management is seen as a strategic advantage, helping customers consolidate their data management tools and achieve a higher ROI on their data investments.

Q & A

  • What is the main theme of Informatica World this year?

    -The main theme of Informatica World this year is 'everyone's ready for AI, except your data', highlighting the readiness of organizations for AI but the unpreparedness of their data.

  • What is the primary challenge organizations are facing in their AI initiatives according to Amit Walia?

    -The primary challenge organizations are facing in their AI initiatives is the lack of readiness of their data. Amit Walia mentions that customers have expressed the need for complete, holistic, and high-quality data for their AI models.

  • How does Informatica address the complexity of enterprise data management?

    -Informatica addresses the complexity of enterprise data management by building a metadata system of record, similar to what Google did for the worldwide web, but for enterprise data. This system powers the IDMC platform, helping enterprises manage their data effectively.

  • What is the significance of Informatica's pivot to an all-cloud strategy?

    -Informatica's pivot to an all-cloud strategy was significant as it allowed the company to build a new platform, IDMC, which is scalable and capable of handling large volumes of transactions. This platform supports the company's AI and data management capabilities.

  • How does Informatica's IDMC platform scale?

    -The IDMC platform is designed to handle a massive scale, running at 92 trillion transactions a month. Each time the scale doubles, the growth rate continues, demonstrating the platform's ability to support large enterprises.

  • What is the role of Informatica's AI engine, CLA, in the context of data management?

    -CLA, Informatica's AI engine, is integrated into the IDMC platform to provide intelligent data management capabilities. It helps in managing and operationalizing AI models by ensuring the quality and governance of the data being used.

  • How does Informatica support its customers in their digital transformation journey?

    -Informatica supports its customers in their digital transformation journey by providing a holistic platform that includes best-of-breed products, an AI engine, and a single consumption-based pricing model. This allows customers to use any product on the platform for their data-driven initiatives.

  • What is the role of the Chief Data Officer (CDO) in the context of AI and data management?

    -The role of the CDO has evolved to become more strategic, focusing on data governance, quality, and compliance. CDOs are now seen as thought leaders and advisors, guiding organizations on how to manage their data effectively in the context of AI and digital transformation.

  • How does Informatica's approach to data management help in achieving a higher ROI on data?

    -Informatica's approach to data management helps in achieving a higher ROI by consolidating fragmented data management tools into a single, scalable platform. This reduces the complexity and cost associated with managing multiple tools and ensures that data is of high quality and governed effectively.

  • What are some of the potential use cases for AI in enterprises that Informatica is seeing?

    -Informatica is seeing a variety of AI use cases in enterprises, including customer service, supply chain management, real-time decision-making, reducing customer churn, and sentiment analysis. These use cases are driven by the need to improve operational efficiency and customer experience.

  • How does Informatica's partnership with other technology providers benefit its customers?

    -Informatica's partnerships with various technology providers, including cloud hyperscalers and system integrators, provide its customers with a diverse and robust set of solutions. This enables customers to choose the best tools and services that fit their specific needs and ensures that they can leverage the latest technologies in their data management and AI initiatives.

Outlines

00:00

πŸ—£οΈ CEO Amit Walia on Informatica's AI Readiness

In this segment, CEO of Informatica, Amit Walia, discusses the company's focus on AI readiness and data management. He emphasizes the importance of having complete, high-quality, and well-governed data to effectively utilize AI models. Walia highlights Informatica's role in building a metadata system to manage enterprise data, comparing it to Google's approach to the worldwide web. He also touches on the company's pivot to a cloud-first strategy and its commitment to supporting any data format, cloud platform, or application, positioning Informatica as a 'Switzerland of data' in the AI era.

05:02

πŸ’Ό Data Management and ROI in the AI Era

This paragraph delves into the strategic shift organizations are making towards AI and data-driven initiatives, despite budget constraints. Amit Walia explains how Informatica is helping customers achieve a higher return on investment by streamlining their data management tools and consolidating them onto Informatica's Intelligent Data Management Cloud (IDMC) platform. He also discusses the company's unique value proposition of offering best-of-breed products on a single platform with a holistic AI engine, and the importance of Informatica's role as a strategic advisor in the digital transformation journey.

10:04

πŸ› οΈ Building Centers of Excellence for AI Governance

The conversation shifts to the evolving role of Chief Data Officers (CDOs) and the creation of Centers of Excellence in response to AI and regulatory compliance needs. Walia describes how CDOs are becoming critical in managing the data estate holistically and how Informatica supports these efforts through its platform that integrates governance and quality. He also addresses the importance of legal involvement in ensuring responsible data usage and the boardroom's focus on data quality as a key driver of value.

15:05

πŸš€ Informatica's AI Future and Customer Use Cases

Amit Walia expresses excitement about the future of AI at Informatica, particularly the potential for customers to experiment with and operationalize AI workloads using Informatica's IDMC platform. He anticipates that next year's Informatica World will feature customer testimonials on the operational benefits of AI and its impact on the bottom line. Walia also discusses the diverse use cases emerging across different sectors, such as customer service, supply chain optimization, and real-time decision-making, and emphasizes Informatica's position as a neutral partner in a fragmented ecosystem.

Mindmap

Keywords

πŸ’‘Informatica

Informatica is a leading software company specializing in data integration and management. In the context of the video, it is the host company of the conference being discussed. The CEO of Informatica, Amit Walia, is interviewed, highlighting the company's focus on data management solutions that are crucial for AI readiness.

πŸ’‘AI

AI, or Artificial Intelligence, refers to the simulation of human intelligence in machines that are programmed to think and learn. In the video, AI is a central theme, with the tagline 'everyone's ready for AI, except your data' indicating a focus on the readiness of data for AI applications. The discussion revolves around how enterprises can prepare their data for AI integration.

πŸ’‘Data Management

Data Management involves the processes, policies, and systems that ensure the effective and efficient use of information in enabling an organization to achieve its goals. In the video, data management is emphasized as a critical component for AI readiness, with Informatica positioning itself as a provider of solutions that help enterprises manage their data for AI applications.

πŸ’‘Enterprise

An Enterprise refers to a large business organization or a business with multiple locations and a complex structure. In the script, the term is used to describe the complex environments within which Informatica's data management solutions operate, highlighting the challenges of managing data across numerous applications, data silos, and cloud platforms.

πŸ’‘Metadata System

A Metadata System is a set of data that describes and gives information about other data. In the video, Informatica is described as having built a metadata system of record for enterprise data, similar to what Google did for the worldwide web. This system is crucial for managing and governing data, which is essential for AI applications.

πŸ’‘IDMC Platform

IDMC stands for Intelligent Data Management Cloud, which is a platform offered by Informatica. The platform is highlighted in the video as a scalable solution running at 92 trillion transactions a month, supporting customers in managing their data for digital transformation and AI readiness.

πŸ’‘Digital Transformation

Digital Transformation refers to the integration of digital technology into all areas of a business, fundamentally changing how a company operates and delivers value to customers. In the video, digital transformation is discussed in the context of how Informatica's solutions help enterprises transform their data management practices to be ready for AI and other technological advancements.

πŸ’‘CLA

CLA, or Clarity Advanced, is Informatica's AI engine mentioned in the video. It is part of the company's strategy to provide a holistic platform for digital transformation, including AI-driven initiatives. CLA is used to enhance data management and decision-making processes within enterprises.

πŸ’‘Data Quality

Data Quality refers to the overall integrity and reliability of data. In the video, data quality is emphasized as a critical factor in AI readiness. Enterprises need to ensure that their data is accurate, complete, and consistent to derive meaningful insights and outcomes from AI applications.

πŸ’‘ROI

ROI stands for Return on Investment, a measure used to evaluate the efficiency of an investment. In the context of the video, ROI is discussed in relation to how Informatica's solutions can help enterprises achieve a higher ROI on their data management initiatives, particularly in the context of AI and digital transformation.

πŸ’‘CDIO

CDIO stands for Chief Data and Information Officer. In the video, the role of the CDIO is discussed as becoming increasingly strategic in the era of AI and digital transformation. CDIOs are seen as key drivers in managing data estates and ensuring compliance with regulations, making them crucial in the journey towards AI readiness.

Highlights

Informatica World is focusing on AI readiness and the challenges organizations face with data readiness.

The tagline 'everyone's ready for AI, except your data' reflects a common concern among Informatica's customers.

Enterprises have complex, fragmented environments with numerous apps, data silos, and cloud platforms.

AI models require complete, holistic, and high-quality data to function effectively.

Informatica's role is in data management, ensuring data is ready for AI models.

Informatica has built a metadata system of record, similar to Google's approach to the worldwide web, for enterprise data.

The IDMC platform is running at 92 trillion transactions a month, showcasing Informatica's scale.

Informatica's pivot to an all-cloud strategy has been a strategic move to support AI and digital transformation.

Informatica's AI engine, CLA, and its recent launch of CLA GPT, aim to provide a holistic platform for digital transformation.

Informatica positions itself as the Switzerland of data, supporting any data format, cloud, database, or application.

Data quality is crucial for AI, and Informatica emphasizes the importance of good data governance.

Budgets are being allocated towards strategic, data-driven initiatives, which is beneficial for Informatica.

Customers are consolidating their data management tools to a single, best-of-breed platform like Informatica.

Informatica's platform supports all AI workloads, making it future-proof for customers.

The role of the Chief Data Officer (CDO) is evolving, becoming more strategic and important in the era of AI.

CDOs are becoming the drivers and champions of holistic data management within enterprises.

Informatica's partnerships with cloud hyperscalers, data clouds, and system integrators are crucial for supporting diverse customer landscapes.

Amitabh Chaudhary, CEO of Informatica, is excited about the potential of AI and its impact on enterprises in the coming year.

Informatica is expecting to see operational AI benefits and real-world use cases demonstrated at next year's Informatica World.

Different use cases for AI are emerging, including customer service, supply chain management, and real-time decision making.

Transcripts

play00:06

good afternoon everyone and welcome back

play00:08

to the cubes live coverage of

play00:10

Informatica World here at the Mandalay

play00:12

Bay Convention Center I'm your host

play00:14

Rebecca night sitting alongside my

play00:16

co-host and analyst Rob stretche Rob

play00:19

we've been waiting for this one yeah

play00:20

absolutely this is right from the top I

play00:23

mean this is doesn't get any better in

play00:25

looking at the direction that

play00:26

Informatica is going in for the next

play00:28

year and I I think again was set really

play00:31

well with the Keynotes but I'm really

play00:33

excited about this indeed so let's

play00:35

welcome to the cube AMT wallia he is the

play00:37

CEO of Informatica thank you so much for

play00:39

coming on Rebecca great to be here hello

play00:42

Rob so Rob I mean sorry Amit the the

play00:45

tagline for this conference is

play00:47

everyone's ready for for AI for AI

play00:49

except your data Y

play00:51

and that that that is the message that

play00:53

is really coming across but we'd like to

play00:55

hear from the horse's mouth how do you

play00:57

describe that as as what you see as sort

play01:00

of the the overarching issue right now

play01:02

that organizations across the board are

play01:04

grappling with well you know the the

play01:05

funny thing about this tagline is that

play01:07

we didn't come up with it as I've been

play01:08

talking to hundreds of customers they

play01:10

exactly what they've been saying that to

play01:11

me like for the last 12 months I've been

play01:13

hearing them say you know what we all

play01:14

want to get ready for AI but my data is

play01:16

not ready I'm like that's such an

play01:17

obvious thing to say that's what our

play01:18

customers are telling us so let's just

play01:20

tell it back to them so it's h it's it's

play01:21

pretty verbatim from our customers look

play01:23

if you kind of step back here is the

play01:25

reality of an Enterprise it's a very

play01:27

complex fragmented environment uh you

play01:29

know there's there's like hundreds of

play01:30

apps running around hundreds of data

play01:32

silos running around hundreds of and you

play01:34

know many Cloud platforms people are

play01:36

building their own apps and let's not

play01:37

forget as much as we think the world is

play01:39

100% Cloud there's a lot of stuff

play01:41

running from the old Legacy stuff

play01:42

running around as well and when when you

play01:45

think about AI in particular the biggest

play01:47

thing is that you want to give your AI

play01:49

model an AI model by itself is not

play01:51

intelligent but you got to give it first

play01:53

of all complete holistic data so you

play01:54

want to bring data from all over those

play01:56

places you want to give it good quality

play01:57

data you want to have governance on top

play01:59

of that data so for the as a model can

play02:01

do something and you operationalize that

play02:03

all of that stuff is data management and

play02:06

at the end of the day that's what we do

play02:07

for a living and the other thing is

play02:09

fundamentally is that searching for all

play02:11

this data is a complex thing and what

play02:13

we've done very uniquely is build this

play02:15

metadata system of record which is what

play02:17

Google did to the worldwide web we did

play02:19

to the Enterprise data and that's

play02:22

powering this idmc platform we have

play02:24

helping Enterprises in this gen world to

play02:27

get stuff done yeah and I I think what

play02:30

it also has done is accelerated the pace

play02:33

at which yourself and your customers but

play02:36

in particular yourself I mean again like

play02:38

you said you're in the you're probably

play02:40

like in the vortex of the storm right in

play02:42

the eye there of why data management is

play02:45

important like you said garbage in

play02:47

garbage out especially with AI how has

play02:50

that changed Informatica that just the

play02:53

AI and accelerating the the pace of

play02:56

everything look fundamentally the first

play02:58

pivot the company did a couple of years

play02:59

ago was was pivoting to all Cloud

play03:02

everything what we did was we we built a

play03:04

whole new informatic under the covers

play03:06

brand new products even if there was an

play03:08

old Legacy product we left it behind all

play03:10

on one platform idmc and to give you a

play03:13

sense of scale that platform is running

play03:15

at 92 trillion transactions a month

play03:18

that's a usage of the platform by our

play03:20

customers and each time the scale

play03:23

doubles growth rate has continued like

play03:25

that so it's it's a that scale we're

play03:27

operating so that has already happened

play03:30

and now what that what that has allowed

play03:31

us to do is in the world of gen actually

play03:35

provide those capabilities for customers

play03:37

to use that platform to run the geni

play03:39

workloads but also provide our gen in

play03:42

the context of a clar co-pilot CLA is

play03:44

our AI engine and clear GPT which which

play03:47

went live a couple of weeks ago so our

play03:49

goal is to give our customers a holistic

play03:51

platform to do any kind of digital

play03:53

transformation including gen driven

play03:56

digital transformation and the one other

play03:57

thing is that very unique for us is that

play03:59

we've always been the Switzerland of

play04:01

data we support any data format support

play04:04

any Cloud any database any application

play04:07

and in the world of gen we're going to

play04:09

be the Switzerland of gen any llm any

play04:12

Vector database any of that stuff that's

play04:14

very important for our customers to have

play04:15

that choice yeah I mean we were even

play04:17

talking with gav about how you're using

play04:20

different models for different pieces

play04:22

underneath CLA GPT and how it actually

play04:25

again to give the right not only the

play04:28

right answer but how to say no when it

play04:31

doesn't know which I loved I mean that

play04:34

that answer was probably the best AI

play04:36

answer because having used other AI

play04:38

things and it gives me an answer and I'm

play04:40

like yeah that's completely wrong and

play04:41

then you lose faith in it I mean so from

play04:44

an Informatica perspective the thread

play04:46

we've been seeing throughout this week

play04:48

has been data quality give the right

play04:50

answers get get the best data in govern

play04:53

it really well make sure that you're

play04:56

bringing it all together and I think the

play04:59

special sauce that I've seen in the you

play05:02

know 13 years or so that I've known

play05:04

Informatica is that really it's about

play05:06

the metadata and how that all gets

play05:08

across like you were saying all of those

play05:10

silos no matter if it's on Prem or in

play05:12

the cloud are you seeing the customers

play05:14

when you're I mean you're have to be in

play05:16

in data with customer meetings this week

play05:18

to put it

play05:18

mildly they're saying here's I mean like

play05:22

uh teada who was on stage and went from

play05:24

8 to two different data management

play05:26

systems that has to be one of the major

play05:29

goals because again uh geni tends to

play05:33

steal from other places from a budgetary

play05:35

perspective it's not like there's

play05:37

infinite money everywhere within it are

play05:39

you seeing that at your customers where

play05:41

they're looking to Informatica to

play05:43

actually help you get a higher Roi on

play05:46

their data yeah so uh that's a great

play05:49

head of questions I think what we are

play05:50

seeing is three things one is absolutely

play05:54

you're right it budgets are not

play05:55

increasing exponentially but what

play05:57

customers are doing is that routing

play05:58

budgets towards critical strategic

play06:00

initiatives and data driven gen driven

play06:02

initiatives are definitely getting the

play06:04

budget allocation so that's a good thing

play06:05

for us because that's a Tailwind then

play06:08

comes a second thing customers have come

play06:09

to this realization that good Lord am I

play06:12

in the business of stitching hundreds of

play06:14

data management tools and by the way

play06:17

some of them are so small that they

play06:18

cannot even scale to Enterprises

play06:20

operational scale and then if one thing

play06:23

fails my whole flow changes or I get to

play06:26

a

play06:27

Consolidated best to breed player like

play06:29

Informatica and have them do that for me

play06:32

and with us they get two things see we

play06:34

talk about a platform intelligent data

play06:35

management Cloud but what people forget

play06:38

is that we also have the best of breed

play06:40

products on that platform all products

play06:43

from us are number one in our category

play06:45

whether you look at the magic quadrants

play06:46

whether you look at the Forester waves

play06:48

so they're getting a twof for they're

play06:49

getting the best products one platform a

play06:52

AI engine and lastly one single

play06:55

consumption based pricing for the entire

play06:57

platform so you can use any product when

play06:59

buy even one ipu and lastly all of those

play07:02

products and all of that platform if

play07:04

they've already started using it

play07:06

currently for their data driven disal

play07:07

transformation as we shared on stage

play07:10

fully seamlessly support all gen

play07:12

workloads so they don't have to

play07:13

re-engineer anything if they were doing

play07:16

a current workload on some data platform

play07:18

they can now do llms and Vector

play07:20

databases so they are future proof they

play07:22

don't have to spend a lot more money to

play07:24

do genni initiatives that's the three

play07:26

things that I'm seeing that's

play07:28

consolidating a lot all of this

play07:30

fragmentation to

play07:32

idmc when you had the the CDO of of of

play07:36

Takata on yesterday you asked tea sorry

play07:39

you asked her about her the how the role

play07:42

of the cdio has changed over the years

play07:44

and I I thought it was a really

play07:45

insightful question I'm a journalist and

play07:46

so a good question and it occurred to me

play07:48

that there's there's so the sea Suite is

play07:50

really undergoing such a transformation

play07:52

in in this new era of gen how you're a

play07:56

tech veteran you've been in Informatica

play07:58

for a long time too how would you say

play08:00

your job as a leader has changed in this

play08:03

new

play08:04

era you know um I think the one thing

play08:07

that has changed a lot especially For

play08:09

What customers are asking us and I see

play08:11

that when I get talked to customers by

play08:12

the way both bar and Rafi was on stage

play08:16

uh they are looking to players like us

play08:19

who are you know leaders in our space at

play08:21

scale for Thought leadership and advice

play08:25

so my first conversation with both of

play08:26

them were look I'm undergoing this kind

play08:28

of a transformation can I just talk to

play08:30

you as to how to even think about it am

play08:32

I making a mistake over there should I

play08:34

do this it's not about the technology

play08:36

first the conversation is a lot more

play08:38

strategic and the scale and the breadth

play08:40

and the depth and the place we have in

play08:42

the industry because we've seen so much

play08:44

they are looking to us for advice

play08:47

guidance thought leadership which I

play08:48

think is a great thing because it

play08:50

elevates a conversation about having one

play08:52

product for one use case to a platform

play08:54

and a holistic conversation that's a big

play08:57

change that's happening all

play08:58

conversations for me begin with can you

play09:00

tell me how am I thinking about it the

play09:02

right way uh and and by the way the cdos

play09:05

coming to them look they are a very big

play09:06

persona for us we have thousands of cdos

play09:09

in our Network in fact we run a cdio

play09:11

council every month we meet we only have

play09:13

a chat about what's happening in that

play09:15

world and their role has changed and

play09:16

they're becoming very strategic and and

play09:18

I really see their role growing very

play09:20

significantly yeah it it seems to be one

play09:22

of those roles that seems to get other

play09:24

letters like c a d o and like things

play09:26

like this it's crazy to see that and I

play09:29

mean having been in that world with

play09:31

people that are looking out and saying

play09:34

as a CDO do I own AI to is the CIO own

play09:38

AI where does this all and oh by the way

play09:41

then we got to partner up with the the

play09:43

legal council and governance and how do

play09:46

you see from your level in those

play09:49

strategic conversations that are

play09:51

happening about here's how we're

play09:53

building our Center of Excellence how

play09:56

are customers really looking to build a

play09:58

center of excellence that's centralizing

play10:01

kind of governance and privacy and all

play10:04

that because there's other regulations

play10:05

coming down you know the AI Act was the

play10:08

first kind of volley in Europe there's

play10:10

going to be stuff coming to uh you know

play10:13

a state near you or a country near you

play10:15

how do you see that evolving that kind

play10:18

of center of excellent at your customers

play10:20

yeah and I think and it is evolving

play10:22

that's the right word to put it I think

play10:23

what I'm seeing is a couple of things of

play10:25

course legal is involved because there

play10:26

is Regulatory Compliance there's always

play10:28

the nervousness of about if we do

play10:29

something silly so legal is always

play10:31

involved in terms of looking at are we

play10:32

doing the right things same in our

play10:34

company our legal council looking at are

play10:35

we approaching it the right way are

play10:37

using customers data the right way are

play10:38

we using our own employees data the

play10:40

right way which is the right thing to do

play10:42

I think what has happened is that what

play10:43

will H what is happening is that clearly

play10:46

that's it's one interesting thing that's

play10:48

happened at the boardroom level topics

play10:50

like governance quality have become very

play10:53

because people realize oh without good

play10:54

quality stuff it's not nothing will come

play10:56

out of value so the cdos are becoming

play10:58

more more important that hey we need to

play11:00

get the data estate in order and you

play11:03

cannot look at the data estate in a silo

play11:04

that that function and that business

play11:06

unit over there so the cdus are becoming

play11:08

that glue to say hey if I have to put my

play11:10

data state in order I got to do it

play11:12

holistically so they are definitely

play11:14

becoming the owners or the drivers and

play11:16

the champions of that now clearly the

play11:19

users of AI will be functional right you

play11:21

know I'm in sales I can use salesforce's

play11:23

AI I'm in marketing I can use adobe's AI

play11:26

I'm in cm I can use workday's AI that

play11:28

will be there but the data State can has

play11:31

to be only managed in one place I think

play11:33

I'm seeing a lot of that happen now in

play11:35

large companies there can be multiple

play11:36

cdos there can be a global CDI but the

play11:38

cdos are becoming critically

play11:41

important so this has really been a

play11:43

terrific show and it's it's showcased

play11:44

not only a lot of Innovations and

play11:46

refinements that Informatica is putting

play11:48

out but it also the the thought

play11:49

leadership as you were saying and just

play11:51

how your approach informatica's

play11:53

Evolution as a company and as a brand

play11:55

what are some of the things that are

play11:57

most exciting to you going back go

play11:59

thinking thinking about the future and

play12:01

about next year's Informatica World boy

play12:03

I think look I am definitely excited

play12:05

it's look it while gen is one of those

play12:08

things it's going to be a cliche but I'm

play12:10

super excited about that and the reason

play12:12

for that is that look let's not forget

play12:14

non gen transformation digital

play12:16

transformation is still very much

play12:17

underway and has to underway it won't go

play12:19

away I I give the example that I think

play12:21

will continue for the next 5 years too

play12:23

but the reality is that gen is an

play12:26

exponential driver and customers have to

play12:29

start somewhere Enterprises are not

play12:31

necessarily in operational mode yet

play12:32

let's be very honest but they all have

play12:34

they all building a road map this is the

play12:36

first use case what I'm excited about is

play12:38

that our customers with currently

play12:41

deployed idmc can actually start

play12:44

experimenting the geni workloads can

play12:46

start operationalize that and what I

play12:49

really and I'm going to I'm I fully

play12:51

expect that when we come to next year on

play12:53

stage there will be two customers who

play12:54

will be talking about their operational

play12:56

gen benefits and what they did just like

play12:59

had Barb and Rafi on stage talking about

play13:01

digital TR that's what I think will

play13:02

happen next year and how it's really

play13:04

impacting the bottom line and by the way

play13:05

we're seeing it today like you know I

play13:06

think you had SSM Health uh but they

play13:08

using clear GPT and they were able to

play13:10

discover very quickly you know where the

play13:12

different critical resources were where

play13:15

critical equipment were and they can

play13:16

route it within their Hospital Network

play13:18

imagine that imagine how much patient

play13:20

care gets elevated if you can get the

play13:22

right resource and the right equipment

play13:24

quickly from point A to point B if one

play13:26

thing is understaffed and the other one

play13:27

is over staffed so we seeing that

play13:29

already and I fully expect next year we

play13:31

will be seeing actual demonstrated uh

play13:34

use cases where people will be talking

play13:36

about yeah I I think to me that that's

play13:39

the most exciting thing is because we we

play13:40

even have we were're partnered up with

play13:42

the company ETR and in that data 80% of

play13:45

companies are still in the evaluation

play13:47

phase around what is the use case that

play13:50

they're going to do in in production and

play13:52

we we agree and I think there's a lot of

play13:54

talk about silicon and all of this other

play13:56

stuff that's way underneath where the

play13:58

actual apps are and I know informatic

play14:01

has been in what I'll call traditional

play14:04

AI or ml for a long time and building

play14:07

models and being able to you know hey

play14:09

recommendations engines for customer 360

play14:12

and things of that nature where do you

play14:15

see the customers initially jumping in

play14:19

and and is it customer service is it you

play14:22

know generation of content is it code

play14:25

generation where do you see them coming

play14:28

to you and saying hey we want use our

play14:29

data in this way in this use case as as

play14:33

we start to evaluate those use cases you

play14:35

know interestingly what we saw is many

play14:38

use cases not just one because like I

play14:39

gave you this example of SSM Health that

play14:41

is nothing to it is customer service but

play14:43

think about this way it's also a little

play14:45

bit of a supply chain thing how do I get

play14:46

the right people and the Right medical

play14:48

care equipment at the right place so

play14:50

it's a bit of a supply chain

play14:52

conversation which results in higher

play14:54

patient care and customer service so now

play14:56

depends upon how you want to categorize

play14:57

that we saw another customer think of it

play15:00

in the context of a great campaign

play15:02

Effectiveness which results in higher

play15:05

Revenue generation which is in context

play15:07

of serving the customers so we are

play15:08

seeing very different use cases emerge

play15:11

the beauty is here's what I tell

play15:12

everyone data impacts your entire value

play15:15

chain of an Enterprise from front end to

play15:17

back end whether it's increasing Revenue

play15:20

reducing cost increasing productivity

play15:22

and we seen customers attempt all of

play15:23

those things but you're right I see

play15:25

customer service I see supply chain I

play15:27

see discovery of data make real-time

play15:29

decisions help reduce customers churn

play15:32

better understand your customer

play15:33

sentiment analysis those are the kind of

play15:34

places I'm seeing uh a lot of use cases

play15:38

emerge another thing I think I want to I

play15:40

want to emphasize is that one of the

play15:41

unique things hopefully you you getting

play15:43

to see here is that are we have this

play15:45

unique place in this ecosystem where we

play15:47

the Switzerland working with everybody I

play15:49

mean you heard Scott on stage shridar on

play15:51

stage from Snowflake and and our

play15:53

Partnerships are deep with all the cloud

play15:55

hyperscalers the data clouds and all the

play15:57

system integrators who have informatic

play15:59

practices it's very important for our

play16:01

customers because our customers have a

play16:02

very fragmented diverse set of

play16:04

landscape we have a very high bar

play16:07

working with all of them so our

play16:08

customers can benefit by having that

play16:10

choice and that's another thing that as

play16:12

you as customers walk around as you guys

play16:14

walk around you'll see everybody present

play16:15

here signifying our strong partnership

play16:18

ethos yeah no we that's definitely come

play16:20

through to put it mildly we've had the

play16:22

vast majority of ecosystem on in fact we

play16:25

have more more to come after this

play16:27

afternoon as well but it's been

play16:29

fantastic seeing that because like you

play16:31

said they are so fragmented and it's it

play16:34

is that layer up above where you're

play16:36

building your data products that has

play16:38

data from all over the place yes yeah

play16:41

yes well Amit thank you so much for

play16:42

coming on the cube a really great

play16:44

conversation always a pleasure thank you

play16:45

Rebecca thanks Rob I'm Rebecca Knight

play16:47

for Rob stretch a stay tuned for more of

play16:49

the cubes live coverage of Informatica

play16:51

World you're watching the cube the

play16:53

leader in Enterprise news and Analysis

play17:03

[Music]

Rate This
β˜…
β˜…
β˜…
β˜…
β˜…

5.0 / 5 (0 votes)

Related Tags
Informatica WorldAI ReadinessData ManagementEnterprise AIDigital TransformationCloud PlatformsData GovernanceMetadata SystemAI EngineCustomer Service