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Data and AI

Cloud unlocks the power of data and AI to accelerate the next wave of product and market growth.

Data is the driver and AI is the differentiator

It’s all enabled by cloud. And migrating data there, while a significant effort for many, is only the first step. Migration opens the door to the much larger opportunity of creating a trusted data platform across disparate parts of the business--a value creation platform that can be used to augment and reinvent operational workflows, activate more informed and engaging customer and employee experiences, and fuel the next waves of product and market growth.

Spotlight: Lighting the way with data on cloud

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Data’s worth depends on its accessibility and application. Cloud is the only place where data gains scale, agility and the power to drive reinvention so business can soar. Migration is (just) the start. Companies should take steps to modernize their data foundation, so their people can operate with data and cloud innovation at their fingertips.

Capabilities

Accenture brings a fusion of industry depth, data & AI expertise and reusable innovation of the cloud ecosystem to unleash the business value of data.

Data migration

Remove data landscape constraints, lower data management costs, and dramatically increase the value from data.

Data platform modernization

Establish a trusted and reusable set of data products to create value through faster time to new insights – even in the absence of advanced AI.

Scaled AI and machine learning

Build and scale AI to solve acute problems, activating wisdom in data to predict, decide and act in ways to perform work differently.

 

Tap into the value of your data

Intrinsic value of data

Establish trusted, democratized and reusable data products that improve speed and efficiency, even in the absence of advanced AI.

Value: Reduced cost of rework, more timely insights, improved adoption through transparency and trust.

Accelerated data + AI value

Evaluate marketplace innovation and establish effective governance for AI solution integration into the broader architecture, avoiding cloud-based silos.

Value: AI-driven automation of complex processes can deliver in-year returns with pre-built solutions vs. multiple years to stand up custom builds.

Exponential value with AI

Deploy workflows that empower teams to experiment with AI more quickly, with a fast path to production.

Value: Re-invented workflows like customer interactions, new product introduction, physical and digital supply chains, asset maintenance.

What we think

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Artificial Intelligence

The art of AI maturity

Check out our research on how ‘AI Achievers’ have mastered AI Maturity to achieve superior growth and business transformation.
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Data sharing + cloud: How to spark new biz models

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Why data & analytics needs a multi-speed approach

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AI for data: Data capital management @ scale

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Cloud data migration

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Case studies

How Accenture Does IT

Modernizing our data platform

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Life Sciences

Reimagining medicine through data-led transformation

Novartis uses a multi-cloud data analytics platform to optimize operations and accelerate innovation.

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Blogs

View perspectives from our leaders on transforming data in the cloud.

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Cloud Computing

Accelerating modern data foundations with Databricks

Accenture and Databricks are building a new way for companies to accelerate their digital transformation on cloud with a modern data foundation.

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How to get more value out of your data in the cloud

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Alliances and partners

With data becoming the new playfield of competition, together with our partners, we help businesses turn data into competitive advantage.

Our leaders

Lan Guan

Chief AI Officer
LinkedIn

Tom Johnstone

Lead – Data & AI, North America
LinkedIn

Laetitia Cailleteau

Lead – Data & AI, EMEA
LinkedIn

Daniel Lázaro

Lead – Data & AI, Growth Markets
LinkedIn

Cian O’Hare

Lead – Sales, Solutions & Offerings, Data & AI
LinkedIn

Teresa Tung

Managing Director – Global CTO, Cloud First, Data & AI
LinkedIn

Matt Fanno

Lead – Data & AI, Growth & Strategy
LinkedIn

Join the Cloud Data & AI team

What sets data leaders apart? Above all, they excel at treating data as a product. Organizations are increasingly looking for modern data solutions for a fast-growing number of data sources. That’s where you come in.

There’s a whole new world of cloud data career opportunities—and Accenture is the best place to build them. We have the size and scale needed to navigate complex client journeys, an ecosystem of cloud partnerships, and world-class training and development programs to guide your career journey.

Harness the power of data at Accenture.

Cloud Data Careers

Careers blogs

Learn more from our leaders on why Accenture is the best place for your data career.

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Cloud Careers

Boundaryless opportunities in cloud data transformation

What does cloud transformation mean for careers? Laetitia Cailleteau highlights a world of possibilities for reinvention.

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Cloud Careers

Master Data Architects drive the future of cloud data

Sriram Anand discusses the next level of cloud data expertise, the Master Data Architect Program with MIT.

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2.5 quintillion reasons why Accenture is best for a cloud data career

Global Data & AI Leader, Shail Jain, talks about why Accenture has all the right opportunities to build a world-class cloud data career.

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Related capabilities

Cloud services

Speed, cost and innovation – Accenture Cloud First makes cloud’s promise real.

Data and analytics services

Unlock powerful insights by tapping into data you didn’t even know you had.

Data-led transformation

Recognize the value of data to drive sustainable growth.

Frequently asked questions

Accenture brings a fusion of industry depth and data & AI expertise in data migration, data engineering, and scaled AI. All coupled with the reusable innovation of the cloud ecosystem to unleash the business value of data. Learn more.

Together, three core characteristics define a modern data foundation and help companies overcome some of the most common barriers to value: data accessibility, data trustworthiness, data readiness and timeliness. Learn more.

Set the stage - Assess current data maturity and capability, develop a data strategy aligned with business, select cloud services, develop architecture and roadmap. Learn more.

Make the move (Migrate & modernize) - Stand up cloud services, build data foundation, migrate, as needed, from on-prem, build new data products. Learn more.