Core transactional systems like IBM i represent an essential element of the global economy and run mission-critical business processes today. However, to remain competitive in today’s constantly evolving IT landscape, organizations must integrate cloud-based technologies, such as those from the AWS Cloud, into their architecture to unlock business value, especially in advanced analytics and AI applications. Organizations that successfully integrate and operate new cloud-based technologies alongside their core legacy systems pave the way to deliver solutions that drive operations efficiently while creating space for innovation and forward-thinking projects. This combination will serve as a competitive advantage as business and customer needs continue to grow. AWS Mainframe Modernization Data Replication with Precisely unleashes mainframe data for innovation with the AWS Cloud by enabling near real-time replication of heterogeneous data from mainframe data sources like Db2, IMS, and VSAM to a wide range of AWS Cloud database destinations. Join the session to see how Precisely and AWS together provide modernization capabilities to users looking to drive innovation from IBM Series I data through near real-time replication to the AWS Cloud, providing the foundation of new business channels. During this session, we will discuss: - How successful organizations manage both cloud and legacy systems - The combined AWS and Precisely offering - Real-world use cases of IBM i users leveraging AWS and Precisely

1. Moving IBM i Applications
to the Cloud with AWS
and Precisely
John de Saint Phalle | Director, Product Management
Rochelle Grubbs | Senior Director, Solutions Architect

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3. IBM i Data
Reimagined

4. Confidential: Prepared for Precisely Customers and Prospects
IBM i is a critical asset for your business
70%
Mid-size Enterprises
Globally
50% +
Core business applications
run on IBM i
Financial services
fastest adopters
of IBM i
#1
of World’s
Top Industries
use IBM i
3
Higher ROI
than other
servers*
↑
*2024 IBM i Marketplace Survey Results

5. 85%
of organizations will
embrace a cloud-first
principle by 2025”
- Gartner
55%
of leaders site data
modernization as
the reason for their
shift to cloud”
- Deloitte
•72%
of IBM i users cite
modernization as
their top concern”
• - Forta 2024 IBM i
Marketplace Survey
“ “ “

6. Customer challenges with IBM i
Integrity of data
during
modernization
Data silos Limited
innovation
Data
vulnerabilities
due to bespoke
solutions

7. AWS Mainframe Modernization
Data Replication with
Precisely for IBM i
 Quickly replicate
enterprise data from
IBM i to Cloud
 Allow business
applications to
leverage IBM i data
in near real time
Agility
 Replicate IBM i data for
use with AWS Cloud
services
 Use for reporting,
advanced analytics,
ML/AI, and migration
and modernization
Innovation
 Leverage built-in
centralized security,
monitoring, fail-over
and data sovereignty
enabled by target
AWS Cloud databases
 Enable data consistency
across IBM i and the
AWS Cloud with near
real-time replication
Resilience
© 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved.

8. Benefits
© 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Quickly Replicate
IBM i Data
Supports IBM i
Data Sources
Built in Integration with
Cloud DB and AWS Services
Pay per Use by GB
of Data Replicated
Observability and
Auditability
Resiliency and
High Availability

9. Use Cases
9
Business Insights Digital Operations
Incremental
Modernization
• Web and mobile apps
• Near real-time fraud detection
• Chat bots
• Customer engagement
• Start with inquiry services
Distributed architecture with
CQRS pattern
• Incrementally offload
business functions
• Business insights
• Reporting
• AI model training
• Generative AI use cases
© 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved.

10. How it works
Quickly replicate the data into purpose built datastores on AWS to generate business value
AWS Mainframe
Modernization
service for IBM i
Data Replication with
Precisely uses CDC to
replicate data from
IBM i to AWS
Db2 for
IBM i
IBM i
Data Sources
People
Apps
Devices
Integrate
Databases
Data warehouse
Amazon
SageMaker
Store, Query, analyze Act
Amazon
Bedrock
Amazon
Aurora
Amazon
DynamoDB
Business Intelligence
Amazon QuickSight
ML Generative AI
BIG Data
Amazon EMR
Amazon Redshift
1 2 3
AWS Cloud
© 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved.

11. Real World Customer
Stories

12. OBJECTIVE CHALLENGES BENEFITS
SOLUTION: Precisely Connect for Db2 to AWS
• AAA understood that modernizing
every aspect of its business
operations, especially core IT systems,
was key to providing the innovative
applications and services expected
by its consumers, partners, and
internal team members.
• Policy processing and customer
analytics hindered by reliance on
multiple disparate computing
platforms and applications
• Cloud modernization initiative
required extensive integration of
existing applications and data flows
• Dependent upon core business
applications and data on IBM i
servers and storage systems
• Transforming, validating, and
migrating extensive volumes of
historical customer and financial data
for use in cloud computing systems
• IBM i data is available for in near
real-time
• Future-proofing the architecture so
that AAA Life can implement new
targets and data use cases
seamlessly
• Maximizing the investment in IBM i
while continuing to innovate and
deliver new functionality
• Eliminate need for IBM i specialized
skills

13. OBJECTIVE
• Sky New Zealand needed a way to
move data from their core IBM i
systems to the new cloud-based
technologies that they were
implementing.
CHALLENGES
• Data silos prevented IBM i
data from being readily
available for use
• Existing ETL tools were
inflexible and slow (lag time of
4-10 hours)
• Limited time and skills to build
and maintain a process that
would connect existing on-
premises data sources with
new cloud-based platforms
BENEFITS
• Breakdown of data silos
between IBM i systems and their
new cloud-based platforms
• Hours of development time were
saved, allowing time to be spent
on other projects
• Sales team has access to data in
near real-time, feeding their
reports and dashboards
SOLUTION: Precisely Connect for Db2 to Snowflake on AWS

14. Questions?