The Journey to AI - dataviewshow.files.wordpress.com€¦ · ORGANIZE - Create a business-ready analytics foundation ANALYZE - Build and scale AI with trust & explainability INFUSE

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.


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



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.






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


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


(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


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


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


How important is IA?

17The 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


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…


How can weaccelerate theJourney to AI?


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


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


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.


AI Pop Quiz!


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!







AI Pop Quiz!







AI Pop Quiz!







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


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


What is this a picture of?

Collect > Organize > Analyze


It’s difficult to make a decision when we have an incomplete picture

35Collect > Organize > Analyze


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


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


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.



IBM’s AutoAI


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.


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…


What does it take to trust a decision made by a machine?



AccurateFairExplainable Open

Understanding a model’s decisions

Detecting and mitigating bias

Identifying & combating model drift

Engendering trust in AI through the community


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


AI is not magic – It’s computer science


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


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


@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!

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The Journey to AI - dataviewshow.files.wordpress.com€¦ · ORGANIZE - Create a business-ready analytics foundation ANALYZE - Build and scale AI with trust & explainability INFUSE