Join us as we discuss IBM’s data & AI platform, IBM Cloud Pak for Data, led by our recently announced Quick Start for AWS customers. IBM Cloud Pak for Data enables customers to collect, organize, and analyze all types of data inside a cloud-native data and AI architecture that natively supports AWS. Learn about IBM’s other solutions that run on AWS, such as Db2 Warehouse on Cloud. Leave this talk with an understanding of how IBM can help you get started on your journey to AI. This presentation is brought to you by AWS partner, IBM.

1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Accelerate Your Journey to AI:
IBM Cloud Pak for Data on AWS
Tanmay Sinha
Product Management, IBM Data & AI
@tanmaysinha
D E M 1 8 - S

2. IBM AI with
Amazon
Web Services
(AWS)

3. 3
Connect ALL data for self service
analytics
Dynamically build and deploy
cloud-native data workloads
Operationalize AI with trust and
transparency
Simplify and unify data and AI
services across hybrid clouds
AWS Users Need an Information Architecture for AI
85%
66%
of cloud workloads will be driven by
AI over next two years
are inhibited by the growing complexity
of their data landscapes

4. Collect Make data simple and accessible
Organize Create a business-ready analytics foundation
Analyze Build and scale AI with trust and transparency
Infuse Operationalize AI throughout the business
What is Cloud Pak for Data?
A unified set of cloud-native data & AI services that automate how organizations turn data into
insights, easily customized to the unique data landscapes of our clients
Modernize
Unlock the value of
data for an AI and
hybrid world
On-prem options include: An all-in-one hyperconverged private cloud
system, deployed in under 4 hours
ONE
Platform
Hybrid
Cloud

5. 5
The AI Ladder
Pre-built Use Cases
Watson Applications
Hybrid Data and AI Platform
Cloud Pak for Data
Hybrid Data Management
Db2 Family
Data Ops & Governance
InfoSphere Family
Unlock the value of your data and
accelerate the journey to AI
Watson
Machine
Learning
Watson
Knowledge
Catalog
Watson
Studio
Watson
OpenScale
Prepare Build ManageRun
Cloud Pak for Data Enables #WatsonAnywhere
A highly unique IBM differentiator delivering hybrid data and AI available on AWS

6. Quick Start automatically deploys a production instance of IBM Cloud Pak for
Data on the AWS Cloud. A standard deployment takes ~ 3 hours, and a high
availability (HA) deployment takes ~ 4 hours.
1. What is AWS Quick Start?
90-day trial license of Cloud Pak for Data; license required after trial period
2. What’s Included?
An AWS account - customer responsible for infrastructure cost
3. Pre-requisites
✓ Deploy on AWS in under 3 hrs.
✓ Free trial for up to 90 days
✓ Detailed deployment guide
Quick Links :
▪ Landing Page on AWS:
http://ibm.biz/quickstart
▪ Deployment Guide :
http://ibm.biz/quickstart_guide
AWS Quick Start
Try IBM Cloud Pak for Data with AWS

7. Introducing AutoAI
with IBM Watson
Studio
Automates AI lifecycle
management data prep,
feature engineering,
and hyper parameter
optimization
Makes experiments and
neural network search
easy
Is explainable, debiased and
trusted 7
Making enterprise
AI simple and
scale
Paving a path toward
industrialization of AI

8. Db2 Warehouse on Cloud
A fully-managed, high performance, petabyte scale data warehouse on AWS
High-Performance Warehouse for AI
Built-in machine learning (ML) combined with our integration with IBM Watson Studio makes Db2 Warehouse a no
brainer for data scientists; the entire Db2 engine is powered by AI and built for AI, helping analysts train and run
ML models directly in the Db2 Warehouse engine using SQL, Python, or R.
Other IBM solutions coming to AWS in Q3!
AWS Deployment Made Easy
IBM Db2 Warehouse on Cloud runs natively on AWS, leverages AWS building blocks: Amazon EC2 for compute,
Amazon EKS for container management, Amazon EBS for storage, Amazon S3 for data lake, etc.
Scale Your Growing Business
Independent scaling of storage and compute allows you to scale up your compute during peak demand and scale
down when demand falls; ramp up your data storage as data needs grow

9. Thank you!
S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Tanmay Sinha
Product Management, IBM Data & AI
@tanmaysinha