Machine learning and artificial intelligence are exciting technologies, but success means excitement about business outcomes, not technology. Could success make AI boring? In this session we will cover. Scaling enterprise ML across people, process, strategy, and technology. Building and deploying automated, repeatable, and predictable ML models. A vision for an enterprise AI platform that turns data into predictions, at any scale, anywhere.

1. INDUSTRIALIZE AI WITH ENTERPRISE SCALE
MACHINE LEARNING
Hilary Mason, GM of Machine Learning, Cloudera

2. 2 © Cloudera, Inc. All rights reserved.
Welcome!

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LET’S MAKE MACHINE LEARNING BORING.

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AI IS CHANGING
THE WORLD

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OR IS IT
MUNDANE?

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MOVING FROM EXPLORATION TO PRODUCTION OF ML & AI
WE’RE WITNESSING THE INDUSTRIALIZATION OF AI
FROM THE LAB… TO THE FACTORY

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WHAT DOES
GREAT AI LOOK
LIKE?
REDUCING CALL CENTER
COSTS

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NEW BUSINESS
OPPORTUNITIES
NEW REVENUE AND NEW
PRODUCT OPPORTUNITIES

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WORKFLOWS FOR EFFECTIVE ML
DONE WELL, THE VALUE GENERATED BY MACHINE LEARNING GROWS OVER TIME
9
DEVELOPMENT PRODUCTIONSTRATEGY
critical business
infrastructure
research and explorationprioritization and use case
identification

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IT’S TIME TO
GROW UP
• Even when companies
are great at this, best
practices are
inconsistent.
• As we mature in
understanding value,
we’re able to address
new opportunities.
• Avoid common failure
modes!
• Optimize for scale.

11. 11 © Cloudera, Inc. All rights reserved.

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ENTERPRISE-GRADE SCALE
WHETHER YOU ARE A FORTUNE 100 OR A STARTUP
SECURITY,
GOVERNANCE,
COMPLIANCE
STRATEGY PEOPLE &
ORGANIZATION
TECHNOLOGY

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VISION AND STRATEGY SCALE
MOVING FROM SINGLE PROJECTS TO A REPEATABLE MACHINE
• Strategic vision and prioritization
frameworks
• Who is best positioned to identify ML
opportunities?
• It’s not just ROI vs Cost
• These are investments!

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STRATEGIC INVESTMENT FRAMEWORK
•IT’S NOT A SOFTWARE PROJECT, IT’S A PORTFOLIO INVESTMENT MODEL

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SECURITY,
GOVERNANCE,
COMPLIANCE

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FEDERATED LEARNING
New research from Cloudera Fast Forward Labs
• Train a model on distributed data across
devices or end-points.
• Share models, rather than data, preserving
privacy and reducing communication costs.
• Shift the burden of training out of
datacenter infrastructure and onto edge
devices
• Webinar Nov 15th https://bit.ly/2yZsceH

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ETHICS OF
PRACTICE IN
DATA SCIENCE –
FOR
PRACTITIONERS
Available now:
https://amzn.to/2oUsZZ3

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SCALING
PEOPLE &
ORGANIZATIONS

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MANY FAILURE MODES
What to think about
• Who does data science work?
• How is the org structured?
• How do they work together?
• How is it governed?
• What’s your flavor of the ML lifecycle?
• Do people trust machine learning?

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TECHNOLOGY
SCALE

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THE VISION: MAKE THIS EASY
Systematic process to
discover and prioritize
opportunities for ML and AI
OPPORTUNITY
DISCOVERY
“AI FACTORY”
Agile platform to build, train,
and deploy ML applications
BUSINESS
TRANSFORMATION
Capability to absorb
business transformation
and discover next
opportunity

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AI
MACHINE
LEARNING
DATA SCIENCE
ANALYTICS
"BIG DATA"

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THE FUTURE

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OUR APPROACH
MODERN ENTERPRISE PLATFORM, TOOLS AND EXPERT GUIDANCE TO HELP YOU
UNLOCK BUSINESS VALUE WITH ML/AI
Agile platform to build,
train, and deploy
scalable ML
applications
Enterprise data science
tools to accelerate
team productivity
Expert guidance,
services & training to
fast track value & scale

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AS NEW TECH CAPABILITIES EMERGE, BE READY
THE LATEST RESEARCH
MULTI-TASK LEARNING FROM CLOUDERA FAST FORWARD LABS

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EVOLVING OUR DNA

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MARKET DEVELOPMENT & PHASES OF GROWTH
BIG DATA
TECH
DATA
PLATFORM
CIO
& Data Admins
ML, ANALYTICS
& CLOUD
LOB
& Data ScientistsIT early adopters
& Developers
INDUSTRIAL AI
C-suite &
Boards

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enable the modern machine learning lifecycle
for thousands of applications with an open enterprise platform
across petabytes of data and heterogeneous compute
Rapid provisioning and
experimentation
DevOps mindset
From development to
production
Team
collaboration
and shared
context
Any
framework,
your data, your
models
Secure by default
CPUs, GPUS, TPUs,
and beyond
Massive, diverse
data
Automation Runs anywhere

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HOW CAN CLOUDERA HELP CUSTOMERS INDUSTRIALIZE AI?
Manage pipelines + models
Deploy models
Automate pipelines
Monitor performance
DEPLOYDEVELOP
Make teams more productive
Explore data
Develop reports, pipelines, models
Collaborate with peers
TRAIN
Scale resources efficiently
Train models
Tune parameters
Track performance
DELIVER THE PLATFORM TO ACCELERATE AI DEVELOPMENT AT SCALE, ANYWHERE
MANAGE
Run anywhere with a common architecture
Manage access and resources
Scale cost with usage

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PLATFORM FOR ENTERPRISE AI, OPTIMIZED FOR THE CLOUD
NEW CONTAINERIZED MACHINE LEARNING PRODUCTS WITH A COMMON RUNTIME
CLOUDERA
DATA WAREHOUSE
Kubernetes
S3 ADLSDBMS
HDFS KUDU
Spark-on-YARN
CLOUDERA MACHINE LEARNING
DATA SCIENCE DATA ENGINEERING MODEL MANAGEMENT
CLOUDERA AI RUNTIME (CPU/GPU-optimized Python/R, Spark, …)
SHARED WORKSPACES FEATURE + MODEL CATALOG

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[future]

32. THANK YOU