Modernizing Legacy Systems: AI-Enhanced Cloud Adoption Frameworks
“By 2030, 80 percent of heritage financial services firms will go out of business, become commoditized, or exist only formally but not competing effectively”, predicts Gartner.
This session explores the integration of AI, specifically ChatGPT, into cloud adoption frameworks to modernize legacy systems. Learn how to leverage AWS Cloud Adoption Framework (CAF) 3.0, Microsoft Cloud Adoption Framework for Azure, and Google Cloud Adoption Framework to build cloud-native architectures that maximize scalability, flexibility, and security. Designed for architects, technical leads, and senior IT professionals, this talk provides actionable insights and strategies for successful digital transformation.
Attendees will learn how to:
Integrate AI assistants into cloud readiness, migration, and optimization phases.
Use AI to analyze legacy code, auto-generate documentation, and map dependencies.
Employ the AWS CAF 3.0, Microsoft CAF, and Google CAF to guide large-scale migration while balancing security, compliance, and cost.
Design cloud-native architectures powered by continuous learning, resilience, and automation.
Packed with case studies, modernization blueprints, and AI-assisted workflows, this session equips architects and technical leaders to bridge the gap between heritage systems and future-ready enterprises.
Agenda (60–90 minutes)
1 Introduction: Why Legacy Modernization Now (10 min)
The Gartner 2030 prediction and what it means for enterprises.
The rise of AI-augmented modernization.
2 Understanding Cloud Adoption Frameworks (15 min)
Overview of AWS CAF 3.0, Microsoft CAF for Azure, Google CAF.
Common pillars: strategy, governance, people, platform, security, and operations.
Strengths and trade-offs across frameworks.
3 Strategic Role of AI in Legacy Modernization (15 min)
How LLMs augment discovery, documentation, and refactoring.
ChatGPT as a legacy analysis assistant: reading COBOL, PL/SQL, Java monoliths.
AI-driven dependency mapping, test case generation, and modernization playbooks.
4 Steps for Moving Legacy Systems to the Cloud (20 min)
Assessment → Migration Planning → Modernization Execution → Optimization.
Incremental vs. Full Rewrite: decision matrix and hybrid models.
Ensuring compliance, resilience, and audit readiness throughout migration.
5 Designing AI-Ready Cloud-Native Architectures (15 min)
Embedding RAG, microservices, and event-driven architecture.
Leveraging container orchestration (EKS, AKS, GKE) and serverless compute.
Implementing AI observability, MLOps, and data pipelines on cloud.
6 Case Studies & Real-World Transformations (10 min)
BFSI: Mainframe-to-Microservices using AWS CAF + GenAI refactoring.
Manufacturing: SAP modernization using Azure CAF + AI code summarization.
Retail: Omnichannel API modernization with GCP CAF + Copilot GPTs.
7 Best Practices & Roadmap (5 min)
Align modernization with business capability models.
Embed AI governance into CAF workflows.
Build continuous improvement loops through feedback and metrics.
8 Q&A / Wrap-Up (5 min)
Recap core insights.
The future of AI-enhanced cloud adoption and autonomous modernization.
About Rohit Bhardwaj
Rohit Bhardwaj is a Director of Architecture working at Salesforce. Rohit has extensive experience architecting multi-tenant cloud-native solutions in Resilient Microservices Service-Oriented architectures using AWS Stack. In addition, Rohit has a proven ability in designing solutions and executing and delivering transformational programs that reduce costs and increase efficiencies.
As a trusted advisor, leader, and collaborator, Rohit applies problem resolution, analytical, and operational skills to all initiatives and develops strategic requirements and solution analysis through all stages of the project life cycle and product readiness to execution.
Rohit excels in designing scalable cloud microservice architectures using Spring Boot and Netflix OSS technologies using AWS and Google clouds. As a Security Ninja, Rohit looks for ways to resolve application security vulnerabilities using ethical hacking and threat modeling. Rohit is excited about architecting cloud technologies using Dockers, REDIS, NGINX, RightScale, RabbitMQ, Apigee, Azul Zing, Actuate BIRT reporting, Chef, Splunk, Rest-Assured, SoapUI, Dynatrace, and EnterpriseDB. In addition, Rohit has developed lambda architecture solutions using Apache Spark, Cassandra, and Camel for real-time analytics and integration projects.
Rohit has done MBA from Babson College in Corporate Entrepreneurship, Masters in Computer Science from Boston University and Harvard University. Rohit is a regular speaker at No Fluff Just Stuff, UberConf, RichWeb, GIDS, and other international conferences.
Rohit loves to connect on http://www.productivecloudinnovation.com.
http://linkedin.com/in/rohit-bhardwaj-cloud or using Twitter at rbhardwaj1.