Post on 23-Jun-2020
The Journey to AI / September, 2019 / © 2019 IBM Corporation
The Journey to AI—Al Martin
VP, Data and AI Development, Client SuccessIBM Cloud and Cognitive Software
#MakingDataSimple
@amartin_v
al-martin-ku
ibmbigdatahub.com/podcasts
IBM Cloud / © 2018 IBM Corporation
Disclaimer Slide
IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion. Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion. Information presented and discussed during this meeting may be both IBM and client confidential. The agreements signed by members of the Technical Advisory Board govern usage of any and all information discussed and shared.
The Journey to AI / September, 2019 / © 2019 IBM Corporation
3The Journey to AI with Db2 / September, 2019 / © 2019 IBM Corporation
GOOD!
Times Roman: Al on AI
BAD!
Arial: Al on AI
IBM Plex: Al on AI
The Journey to AI / September, 2019 / © 2019 IBM Corporation
4The Journey to AI with Db2 / September, 2019 / © 2019 IBM Corporation
Danger! 10 alarming examples of AI gone wild.
AI’s uneasy coming of age.
Why AI is a big fat lie.
There’s only been one AI breakthrough.
AI hits the barrier of meaning.
MIT and Microsoft researchers look out for AI’s blind spots.
Make sure you’re not investing in zombie AI.
This is my news feed in
Arial font.
The Journey to AI / September, 2019 / © 2019 IBM Corporation
IBM Cloud / © 2018 IBM Corporation
IBM Cloud / © 2018 IBM Corporation
IBM Cloud / © 2018 IBM Corporation
IBM Cloud / © 2018 IBM Corporation
Machine Learning… is NOT new
1996IBM’s Deep Blue beats the world champion at chess
2011IBM’s Watson beats its human competitors at Jeopardy
1959IBM’s Arthur Samuel creates a program to play checkers on the IBM 701
The Journey to AI / September, 2019 / © 2019 IBM Corporation
Data,Algorithms, Storage & Compute
10IBM Cloud / © 2018 IBM CorporationIBM Cloud / © 2018 IBM CorporationThe Journey to AI / September, 2019 / © 2019 IBM Corporation
$2,900,000,000,000(The business value generated by AI augmentation globally)
Ref: Gartner
Impact by 2021
The Journey to AI / September, 2019 / © 2019 IBM Corporation
(Worker hours saved by AI augmentation globally)
6,200,000,000 hrs
Ref: GartnerThe Journey to AI / September, 2019 / © 2019 IBM Corporation
We make 35,000decisions a day
IBM Cloud / L‘Oréal / © 2018 IBM CorporationIBM Cloud / © 2018 IBM Corporation
Artificial intelligence can automate much of these
Predict and shape future outcomes
Optimize time to accomplish higher value work
Reimagine new business models
AI is shaping the future of work
Automate decisions, processes, experiences
How AI pioneers see value
28%
72%
Cost Savings
Revenue Increase
14
The Journey to AI / September, 2019 / © 2019 IBM Corporation
Why are many businesses not further along?
– Disparate data types
– Various data sources
– Data silos
– Data quality challenges
– Talent shortage
– Growing external risks and compliance mandates
81% do not yet understand the data required for AI- MIT Sloan, Reshaping Business With Artificial Intelligence, September 6, 2017
IBM Cloud / © 2018 IBM Corporation
Organize DataThere is no data if you cannot find it
▪ How to easily find relevant information ~ books, authors ?
▪ How to go about archiving important content – Micro Film?
▪ How to go about Life Cycle Management of books ?
▪ How to restrict access to important content (Policy Mgmt.) ?
CA
TALO
GA
RC
HIV
ED
ISP
OSE
AC
CES
S
The Journey to AI / September, 2019 / © 2019 IBM Corporation
How important is IA?
17The Journey to AI / September, 2019 / © 2019 IBM Corporation
The Journey to AI / September, 2019 / © 2019 IBM Corporation
Hi, I want AI now!
18The Journey to AI / September, 2019 / © 2019 IBM Corporation
There is no AI…
…without IA!
Data fuels digital transformation
But only 15% get
what they need from their data
The Journey to AI / September, 2019 / © 2019 IBM Corporation 19
say improving the use of data is a top priority
have a plan to build a system of insights to become data-driven
90%
71%
Ref: MIT Sloan
1/5
39% Of all companies have an AI strategy in place(50% when only counting companies with at least 100,00 employees)
Survey of 3,000+executives, managers, and analysts…
Have incorporated AI in some offerings or products
1/20Have extensively incorporated AI in offerings or process
* Reshaping Business with AI – 2017, MIT Sloane Review
The Journey to AI / September, 2019 / © 2019 IBM Corporation 20
AI is NOW!
$640B in 2020‘18-’20 CAGR -9%
$609B in 2020‘18-’20 CAGR18%
Source: IBM MD&I; BCG and McKinsey research
of enterprise customers are using multiple
94% cloud environments
(public and/or private)
of enterprise customers are using more than one public cloud provider
(expected to remain constant or increase by 2022)67%Traditional IT
$438B in 2020‘18-’20 CAGR15%
Public Clouds &SaaS
Private Clouds
Dedicated Clouds
In a Hybrid Cloud world…
The Journey to AI / September, 2019 / © 2019 IBM Corporation 21
How can weaccelerate theJourney to AI?
The Journey to AI / September, 2019 / © 2019 IBM Corporation
Enterprises have declared their data and the journey to AI top priorities
Operational BI and DataWarehousing
Self-ServiceAnalytics
New Business Models
DIGITAL TRANSFORMATION
Val
ue
MODERNIZATIONCOST REDUCTION INSIGHT-DRIVEN
64%are here
23
90% plan greater investments in data
85% view AI as a strategic priority
AI
The Journey to AI / September, 2019 / © 2019 IBM Corporation
COLLECT - Make data simple and accessible
ORGANIZE - Create a business-ready analytics foundation
ANALYZE - Build and scale AI with trust & explainability
INFUSE - Operationalize AI throughout the business
24
AI
MODERNIZEUnlock the value of data for an AI and multicloud world
The AI Ladder A prescriptive approach to the journey to AI
One Platform, Any Cloud
Talent, Skills and Expertise
The Journey to AI / September, 2019 / © 2019 IBM Corporation
IBM Cloud Pak for Data
The Ladder to AI
Powered by: Watson & Cognos
o AI Machine learning learning
o AI Model build & deployo AI Model management o Dashboards & reportingo Analytical visualization
Powered by: InfoSphere
o Discovery & searcho Data transformationo Data catalogingo Business glossaryo Policies, rules & privacy
Powered by: Database Family
o Data virtualizationo Data warehousingo Databases on-demando Data source ingestiono Distributed processing
Collect Data Organize Data Analyze Data
…Extensible “add-ons” from IBM’s Data & AI Portfolio & 3rd Party Services
IBM IBM IBMIBM OSISVIBM Custom
25
Let’s Talk AI.
Al on AI.
The Journey to AI / September, 2019 / © 2019 IBM Corporation
AI Pop Quiz!
The Journey to AI / September, 2019 / © 2019 IBM Corporation
The term “Artificial Intelligence” was coined by _____________ in ____________.
B. Frances Allen in 1966
C. Allen Turing in 1950
D. Guido van Rossum in 1991
A. John McCarthy in 1955
AI Pop Quiz!
The Journey to AI / September, 2019 / © 2019 IBM Corporation
The term “Artificial Intelligence” was coined by _____________ in ____________.
B. Frances Allen in 1966
C. Allen Turing in 1950
D. Guido van Rossum in 1991
A. John McCarthy in 1955
AI Pop Quiz!
The Journey to AI / September, 2019 / © 2019 IBM Corporation
The term “Artificial Intelligence” was coined by _____________ in ____________.
B. Frances Allen in 1966
C. Allen Turing in 1950
D. Guido van Rossum in 1991
A. John McCarthy in 1955
AI Pop Quiz!
The Journey to AI / September, 2019 / © 2019 IBM Corporation
The term “Artificial Intelligence” was coined by _____________ in ____________.
B. Frances Allen in 1966
C. Allen Turing in 1950
D. Guido van Rossum in 1991
A. John McCarthy in 1955
31
Machine learning without human interference
Models that require human training could have innate bias.
Models that are given a goal and feedback can optimize the model through repetition.
Data + computing power = model optimization
Virtuous Cycle:
Better Data
BetterModels
Better Decisions
IBM Cloud / © 2018 IBM Corporation
32The Journey to AI with Db2 / June, 2019 / © 2019 IBM Corporation
Machine Learning has the potential to diagnose skin cancer before it progresses to the lymphatic system
https://www.ibm.com/blogs/research/2016/11/identifying-skin-cancer-computer-vision/
• Skin cancer: 5M cases/year in the US
• $8B cost to the US healthcare system
• Melanoma: 100K cases/year in the US
• 98% five-year survival rate with proper treatment
IBM Watson
What is this a picture of?
Collect > Organize > Analyze
IBM Cloud / © 2018 IBM Corporation
What is this a picture of?
Collect > Organize > Analyze
IBM Cloud / © 2018 IBM Corporation
It’s difficult to make a decision when we have an incomplete picture
35Collect > Organize > Analyze
IBM Cloud / © 2018 IBM Corporation
36
Case for Automation and AI for AI
Ground Truth Gathering
Data Cleansing
Feature Engineering
Model Selection
Parameter Optimization
Ensemble
Model Validation
Model Deployment
Runtime
Monitoring
Model Improvement
AI Lifecycle Management
The Journey to AI / September, 2019 / © 2019 IBM Corporation
Think 2018 / DOC ID / Month XX, 2018 / © 2018 IBM Corporation
Prepare Build Deploy Manage
What AI teams WANT to focus on!
Where 80% of their time is REALLY spent on
Where organizations see results
37
The Journey to AI / September, 2019 / © 2019 IBM Corporation
AutoAI automatically prepares data, applies algorithms, and
builds model pipelines best suited for your data and use case.
What used to take days or weeks, only takes minutes.
The Journey to AI / September, 2019 / © 2019 IBM Corporation
The Journey to AI / September, 2019 / © 2019 IBM Corporation
IBM’s AutoAI
The Journey to AI / September, 2019 / © 2019 IBM Corporation
Build models fasterAutomate data preparation.
Jump the skills gapNo coding? No problem.
Discover more use casesSupercharge collaboration.
Find signal from noiseExtract predictive power.
Rank and explore modelsAuto-compare pipelines.
Ready, set, deployDeploy to REST APIs with one click.
The Journey to AI / September, 2019 / © 2019 IBM Corporation
IBM Watson & Cloud © 2019 IBM Corporation *** IBM & Business Partner Only *** 41
Skills and Ethical issues in AI : The age of Trust
80%say that concerns about trust, privacy, and transparency are a barrier to AI adoption
– IBM IBV AI 2018
63%cite availability of technical skills as a challenge to implementation.
- IBM IBV AI 2018
IBM IBV study on >1000 C-level executives and policy makers…
The Journey to AI / September, 2019 / © 2019 IBM Corporation
What does it take to trust a decision made by a machine?
The Journey to AI / September, 2019 / © 2019 IBM Corporation
The Journey to AI / September, 2019 / © 2019 IBM Corporation
AccurateFairExplainable Open
Understanding a model’s decisions
Detecting and mitigating bias
Identifying & combating model drift
Engendering trust in AI through the community
The Journey to AI / September, 2019 / © 2019 IBM Corporation
44
The AI Ladder
Pre-built Use Cases
Watson Applications
Hybrid Data and AI Platform
Cloud Pak for Data
Hybrid Data Management
Database FamilyData Ops & Governance
InfoSphere FamilyA prescriptive approach to
the journey to AI
WatsonMachineLearning
WatsonKnowledge
Catalog
WatsonStudio
Watson OpenScale
Prepare Build ManageRun
HyperconvergedSystem
The IBM Data and AI PortfolioEverything you need for enterprise data and AI, on any cloud
Talent & Skills
The Journey to AI / September, 2019 / © 2019 IBM Corporation
AI is not magic – It’s computer science
45The Journey to AI with Db2 / September, 2019 / © 2019 IBM Corporation
AI-powered advertising engagement
Intelligently provides info on an array of offerings
Predict power demand by for renewable energy
Predict and target first-time buyers in the US
Surface hiddeninsights to optimize fantasy football outcomes
Visually categorize damage & instantly issues quote
Cognitive car manual explaining increased vehicle complexity
Achieved a 40% call deflection rate withvirtual agents
Mercedes-Benz
Identifies gaps in terms in complex RFPs
Our learnings from experience in helping thousands of enterprises putAI to work
Better predict outcomes in sepsis patients
The Journey to AI / September, 2019 / © 2019 IBM Corporation
Industry Leadership
Watson Assistant
46
Cloud Private for DataWatson Knowledge CatalogWatson Studio
IBMIBMIBM
Forrester Waves
Conversational Computing PlatformsEnterprise Insights PlatformsMachine Learning Data CatalogsPredictive Analytics & Machine Learning AI Text Analysis Platforms
Watson Discovery
Leader: Leader: Leader: Leader: Leader:
IBM IBM
The Journey to AI / September, 2019 / © 2019 IBM Corporation
@amartin_v
al-martin-ku
ibmbigdatahub.com/podcasts
1. Show Up!
2. Automation required
3. Only add complexity when it counts
4. Climb the AI ladder fast and first
5. IBM is loyal to you!