Modernizing 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 AI & Data Architecture at Salesforce, where he focuses on enterprise AI, agentic systems, cloud-native architecture, distributed systems, data platforms, security, and large-scale transformation.
Over his career, Rohit has designed and led complex enterprise platforms across AWS, Google Cloud, microservices, real-time data, API ecosystems, resilient distributed systems, and AI-enabled architectures. His work increasingly focuses on the challenges enterprises face as software evolves from deterministic services to AI-native and agentic systems—particularly around reliability, governance, evidence, security, observability, cost, and safe autonomy.
Rohit is the author of System Design with AI Interview Guide: Designing Scalable, Agentic, and Defensible Systems, published by Apress. The book presents a modern approach to system design covering scalability, distributed systems, AI architecture primitives, security, reliability, economics, agentic systems, and real-world architectures including e-commerce, ride sharing, payments, fraud detection, messaging, video streaming, file storage, and search. (Springer Link)
Book:
Amazon: https://a.co/d/09Zs1twa
Publisher / Springer Nature: https://link.springer.com/book/10.1007/979-8-8688-2782-2
O'Reilly: https://learning.oreilly.com/library/view/system-design-with/9798868827822/
Rohit is also an O’Reilly instructor and a frequent speaker at technology conferences including No Fluff Just Stuff, UberConf, GIDS, and other international events. His talks focus on practical architecture lessons from building and operating complex systems, including AI control planes, trusted agents, inference at scale, evidence-first RAG, AI security, distributed-system failure, and AI-era software architecture.
As a trusted advisor and architecture leader, Rohit works at the intersection of business strategy and deep technical architecture—helping teams translate complex business problems into scalable, resilient, secure, and economically sustainable systems.
Rohit holds an MBA in Corporate Entrepreneurship from Babson College and graduate-level education in Computer Science from Boston University and Harvard University.
Connect with Rohit:
LinkedIn: http://linkedin.com/in/rohit-bhardwaj-cloud
X / Twitter: @rbhardwaj1