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Copyright © 2018 Accenture. All rights reserved.
August 11, 2018
BuildingNextGenerationDataDriven
IntelligentProducts
Diego Saenz – Managing Director,Accenture
AI-CENTRIC
ARCHITECTURES
2
AGENDA
Copyright © 2018 Accenture. All rights reserved.
Data-DrivenIntelligentProducts
DesigningAI–CentricArchitectures
WhatItMeansForYou
BuildingNextGenerationDataDrivenIntelligentProducts
3Copyright © 2018 Accenture. All rights reserved.
UBER
BuildingNextGenerationDataDrivenIntelligentProductsRequiresa
NewApproachtoApplicationArchitecture
4Copyright © 2018 Accenture. All rights reserved.
QLOO
QlooBuiltACultureAndEntertainment DataDrivenApplication
5Copyright © 2018 Accenture. All rights reserved.
6Copyright © 2018 Accenture. All rights reserved.
AI-CENTRICARCHITECTURE
BuildingNextGenerationDataDrivenIntelligentProductsRequirea
NewApproachtoApplicationArchitecture
TRADITIONAL
AI /
ANALYTICS
AI / ANALYTICS
AI-CENTRIC
7Copyright © 2018 Accenture. All rights reserved.
AI-CENTRICPRINCIPLES
All Applications And Solutions Will Use AI To Drive User Experience
Advanced Analytics Will No Longer Be Viewed As ”Just Another Option”
In The Stack
All Teams Will Have Access To Relevant Data Controlled Via API Contracts
1.
3.
2.
4.
5.
The Data Science Team will be involved in all major product decisions
DevOps Will Be Redefined To Accommodate The Flexible Outputs Produced
By Machine Learning.
Copyright © 2017 Accenture. All rights reserved. 8
AI-CENTRIC “MAKEOVER"
Copyright © 2017 Accenture. All rights reserved. 9
Competitive Benefits Technical Benefits
• Ability to create and support innovative
products faster than traditional tech stacks;
• Ability to effectively leverage an
organization’s data assets, at scale;
• Places an organization ahead of competitors
in terms of being data-driven.
• Removes siloed data by default;
• Compute power available as needed;
• Naturally fits with data lineage and
metadata monitoring.
BENEFITS TO OUR CLIENTS
10Copyright © 2018 Accenture. All rights reserved.
You Should Be Learning:
• How to create and manage data-driven architectures that place AI at the center;
• How machine learning technology dramatically improves user experience (AI is the new UI)
• The overlaps between microservices and AI-Centric architecture
You Should Be Thinking:
• Is data a first-class citizen in your architecture;
• Are the applications that consume data driven by AI?
• How can companies get started without uprooting existing stacks?
You Should Be Reading:
• Well-known books on modern architecture;
• Conceptual understanding of machine learning technology.
WHAT IT MEANS FOR YOU…

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Data Con LA 2018 Keynote - AI - Centric Architectures by Diego Saenz

  • 1. Copyright © 2018 Accenture. All rights reserved. August 11, 2018 BuildingNextGenerationDataDriven IntelligentProducts Diego Saenz – Managing Director,Accenture AI-CENTRIC ARCHITECTURES
  • 2. 2 AGENDA Copyright © 2018 Accenture. All rights reserved. Data-DrivenIntelligentProducts DesigningAI–CentricArchitectures WhatItMeansForYou BuildingNextGenerationDataDrivenIntelligentProducts
  • 3. 3Copyright © 2018 Accenture. All rights reserved. UBER BuildingNextGenerationDataDrivenIntelligentProductsRequiresa NewApproachtoApplicationArchitecture
  • 4. 4Copyright © 2018 Accenture. All rights reserved. QLOO QlooBuiltACultureAndEntertainment DataDrivenApplication
  • 5. 5Copyright © 2018 Accenture. All rights reserved.
  • 6. 6Copyright © 2018 Accenture. All rights reserved. AI-CENTRICARCHITECTURE BuildingNextGenerationDataDrivenIntelligentProductsRequirea NewApproachtoApplicationArchitecture TRADITIONAL AI / ANALYTICS AI / ANALYTICS AI-CENTRIC
  • 7. 7Copyright © 2018 Accenture. All rights reserved. AI-CENTRICPRINCIPLES All Applications And Solutions Will Use AI To Drive User Experience Advanced Analytics Will No Longer Be Viewed As ”Just Another Option” In The Stack All Teams Will Have Access To Relevant Data Controlled Via API Contracts 1. 3. 2. 4. 5. The Data Science Team will be involved in all major product decisions DevOps Will Be Redefined To Accommodate The Flexible Outputs Produced By Machine Learning.
  • 8. Copyright © 2017 Accenture. All rights reserved. 8 AI-CENTRIC “MAKEOVER"
  • 9. Copyright © 2017 Accenture. All rights reserved. 9 Competitive Benefits Technical Benefits • Ability to create and support innovative products faster than traditional tech stacks; • Ability to effectively leverage an organization’s data assets, at scale; • Places an organization ahead of competitors in terms of being data-driven. • Removes siloed data by default; • Compute power available as needed; • Naturally fits with data lineage and metadata monitoring. BENEFITS TO OUR CLIENTS
  • 10. 10Copyright © 2018 Accenture. All rights reserved. You Should Be Learning: • How to create and manage data-driven architectures that place AI at the center; • How machine learning technology dramatically improves user experience (AI is the new UI) • The overlaps between microservices and AI-Centric architecture You Should Be Thinking: • Is data a first-class citizen in your architecture; • Are the applications that consume data driven by AI? • How can companies get started without uprooting existing stacks? You Should Be Reading: • Well-known books on modern architecture; • Conceptual understanding of machine learning technology. WHAT IT MEANS FOR YOU…