Digital Transformation with data science and AI. implementing AI @ scale with IBM cloud pak for data. An end to end cloud-native platform easily implemented in a private cloud, public cloud or hybrid cloud. Combining the power of open source tools with enterprise support of IBM is important for organizations to realize the value fast. Accelerate their efforts to become digital companies.

1. Data Science and AI @ Scale with IBM Cloud
Pak for Data
Karan Sachdeva
Director, Asia Pacific
IBM Cloud Pak for Data
Email: karan@sg.ibm.com
Mob: +65 90283694
IBM Watson / © 2019 IBM Corporation

3. Why…
But…
Data
Talent
Technology

4. Use Cases- What business problem you will solve with AI?

5. 5 Cloud Analyst Summit/ Data & AI/ July 2019 / © 2019 IBM Corporation
SOLUTION
Cloud Pak for Data
used to build a multi-
classification model
on Sprint’s data.
learning to predict fraudulent activity within Nedbank's
web and mobile banking system
5
“enabled Sprint to digest high volumes of
data for near, real-time ML/AI analysis,
and the trial results have shown potential to
take Sprint to the next phase of digital
transformation."
Michelle Gehl
VP Networks OSS Applications and
Operations, Sprint
Simplifying and automating the
use of data to create insights
USE CASE
Use machine learning
to gain insights more
quickly and to increase
responsiveness
CHALLENGE
Services dispatches
often sent incorrect
equipment, causing
multiple attempts to
address a single
issue
5

6. “We process more than 36 million pages of
trade documents annually, with over 200
million data elements for name capture and
processing.”
“The Trade AI Engine significantly reduces the
amount of time and effort in this review process
while raising the bar on our controls environment,
further enhancing our ability to play the connector
role for our clients by facilitating transactions at
pace with the growth of their businesses.”
Standard Chartered Bank
AI engine that handles millions of trade finance documents
Lisa Robins
Global Head, Transaction Banking

7. Descriptive
Analytics
Diagnostic
Analytics
Predictive
Analytics
Prescriptive
Analytics
What is going to
happen?
What next I should
do ?
Value
Why it Happened?What Happened?
Data and AI Maturity Curve
AI
Data science
Most
are
here
Data

8. 8 Cloud Analyst Summit/ Data & AI/ July 2019 / © 2019 IBM Corporation
81%
No amount of AI algorithmic sophistication
will overcome a lack of data [architecture]“Data collection & preparation is the most
time consuming and difficult part of AI
8x
more likely to
have a robust
data architecture
do not
understand the
data needed for AI
There is no AI
without an IA
AI pioneers are
[Information architecture]

9. What is holding us back?

10. 1010
Culture
Agile
Open Trusted Collaboration
Experimentation & Fail Fast
Integrated and Modular
Information Architecture
Hybrid Cloud
Containers & Microservices
Multi tenancy
Operationalize ML
Technology Architecture
Cloud Pak for Data
AI Magic Triangle

11. 11
Do you have the right tools for AI
journey?

12. 12
Cloud Pak for Data = Big Data + AI
Data Virtualization Streams Data Governance
ML Model build, run & deploy
Explainability & Trust
Speech, language, Tone and visual
recognitionOperationalize
AI with Data
Science
Data Science Team Data Management Team IT TeamBusiness User
Data Monetization
Modernize
Data
Management
1
2
Access all data | Real time Data
Multi Cloud | Private Cloud | Hybrid Cloud

13. 13
Cloud Pak for Data
A set of unified, pre-integrated data and AI microservices
delivered within an open and extensive cloud native platform
Cloud-native container
platform & operational services
Logging, monitoring, security,
identity access management
Organize Data Analyze DataCollect Data Infuse AI
Cloud Pak for Data = Cloud Native + Multi-tenancy
Delivers the foundational platform for deploying an information architecture for AI
Cloud Native Platform for on-premise
or cloud
Multi- tenancy Support
Continuous integration and delivery
(CI/CD)
Dev-ops applied to AI and ML.
Avoid lock-in, run anywhere with
agility IBM Cloud

14. 14
An all-in-one system pre-integrated with all the
necessary hardware and software components
Deploy a complete private cloud data and AI
platform in hours, with no assembly required
Dynamically scale compute, storage and
software with on-demand plug & play
Simplify management and optimization with
a unified and intuitive dashboard
Cloud Pak for Data System = HW + SW
True plug-and-play enterprise data and AI in under 4 hours
right out of the box, securely behind the firewall
Hyperconverged
Private Cloud System

15. Forrester Wave:
Enterprise Insight
Platforms, Q1 2019
IBM CONFIDENTIAL
IBM Watson / © 2019 IBM Corporation

16. 16
Core
value of
Cloud
Pak for
Data
Solution
6 Core Benefits
1st
2nd
3rd
4th
5th
6th
Governance of Data
and AI models
Operationalize
AI
Scalable
Access all dataSecurity &
Self Service
Leverage existing
IT assets

17. Three Benefits realized by businesses
Fast to deploy Pay-as-you-
grow
Best in class
support

18. Free Test drive
Cloud Pak for Demo
www.ibm.com/cloud/
garage/cloud-
private-experiences
Free Invite
Asia Pacific Data
and AI Forum
Free Use Case
Data Science Elite
Team
Get help from IBM
Data Science elite
team to build your use
case MVP
Be a part of
Movement- Scan
above QR code to
join.
Co-innovate
with IBM!
Reach out at
karan@sg.ibm.com