Introduction to Next Wave of Enterprise Transformation by Savita Raina

1. Artificial Intelligence
Introduction to Next Wave of
Enterprise Transformation
Savita Raina
Director Product Marketing – Oracle Cloud (AI)
@sraina03
March 29, 2019

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Safe Harbor Statement
The following is intended to outline our general product direction. It is intended for
information purposes only, and may not be incorporated into any contract. It is not a
commitment to deliver any material, code, or functionality, and should not be relied upon
in making purchasing decisions. The development, release, and timing of any features or
functionality described for Oracle’s products remains at the sole discretion of Oracle.
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Agenda
3
Artificial Intelligence Overview
Core AI Technologies and Use Cases
Promise and Challenges of AI
Oracle AI Strategy

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Image Source
‘THE TRUE SIGN OF INTELLIGENCE IS NOT KNOWLEDGE BUT IMAGINATION’
– Albert Einstein
Artificial Intelligence

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AI Is Everywhere
5
CONSUMER
Virtual Assistants Smart Home Self-Driving Cars
ENTERPRISE
Healthcare Digital Supply Chains Education

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AI Adoption – Why Now?
6
TECHNOLOGY DRIVERS
Large Volumes of Data
• Structured
• Unstructured
• Video/ Images
• Text
High Performance
Compute
Cloud Technology
• Cloud Augments AI Adoption
CPU GPU TPU
BUSINESS DRIVERS
User Expectations
• Real-time
• Anytime, anywhere
• Seamless experience

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Market Trends
‘By 2020, smart
agents will manage
40% of mobile
interactions’
– Gartner
‘80% of executives believe
artificial intelligence improves
worker performance and
creates jobs’
– Narrative Science
‘By 2022, 85% of CIOs will be
piloting AI programs through
a combination of buy, build
and outsource efforts’
– Gartner
‘By 2022, Enterprise AI projects
with built-in transparency will
be 100% more likely to get
funding from CIOs’
– Gartner

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What Is AI?
‘Artificial intelligence is a branch of
computer science that helps to create
intelligent machines that simulate human
decision making process with high level
of efficiency, accuracy and precision.’
Learning
Natural language processing
Image processing
Robotics
Solving complex problems
Reason and logic
ARTIFICIAL
INTELLIGENCE
A program that can sense,
reason, act, and adapt
MACHINE LEARNING
Algorithms whose performance
improves as they are exposed
to more data over time
DEEP LEARNING
Subset of ML in which
multi-layered neural
networks learn from
vast amounts of data
DATA
SCIENCE

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Machine Learning in Business Applications
MACHINE LEARNING
Unsupervised Learning Reinforcement LearningSupervised Learning
Fraud detection
Predictive maintenance
Customer segmentation
Recommender system
Game AI
Robot navigation

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The Promise of AI
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Natural Human
Experiences
Revolutionize
Decision Making
Surpass Human
Accuracy
Anticipate and
Accelerate Action
Upgrade to Conventional Automation

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Applying AI in the Enterprise
Manual
Monitoring
Intensive
Human
Interactions
Fixed
Process
Autonomous
Operations
Augmented
Experience
Adaptive
Process
Traditional
Enterprise
Applied AI
AI
Enterprise

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Benefits of AI Applications
Reduce Cost and
Increase Asset Efficiency
Make Data-Driven
Decisions
Deliver Exceptional
Customer Experience
Accelerate
Innovation
Predict
Outcomes
Reduce
Business Risk

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Enterprise AI Challenges
Fragmented Usage Technology and
Infrastructure
Specialized Skills
Data silos limit
effectiveness
Incompatible
systems
Multiple
platforms
Scalability
Specialized
hardware
Model
management
Expensive and
scarce talent
Domain
knowledge gap
Complex
model building

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What Does Oracle
Offer for AI?

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Oracle AI: Ready-to-Go, Ready-to-Build, Ready-to-Work
Ready-to-Go Ready-to-Build Ready-to-Work
Applications:
• Adaptive Intelligent Apps
• Intelligent UX
• Conversational Agents
• Smart Data
AI Platform:
• Data Management
• Data Science & Analytics
• Application Development
• Cloud Infrastructure
Autonomous Database:
• Self-driving
• Self-securing
• Self-repairing

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World Bees Project
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Savita Raina
Savita.Raina@oracle.com
@sraina03
Thank You