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AI Beyond ChatGPT - Enterprise Architecture, Data Engg. & AI Leadership
Explore how enterprise AI goes beyond ChatGPT with AI architecture, data engineering, Microsoft Fabric, Databricks, RAG, AI Agents, and leadership insights.
About this event
Welcome to another exclusive CareerByteCode AI Leadership Podcast, where we bring together global technology leaders to discuss the future of Artificial Intelligence, Enterprise Architecture, Data Engineering, and Cloud Innovation.
Everyone is talking about ChatGPT. But what does it actually take to build AI solutions that power global enterprises?
The answer goes far beyond prompts.
Successful AI initiatives require strong enterprise architecture, modern data platforms, scalable cloud infrastructure, responsible AI practices, governance, security, and experienced technical leadership. Organizations that understand these foundations are the ones transforming industries with AI.
In this special session, Manish Kumar, Global AI Leader and Enterprise AI Architect, is joined by Kesavan Kothandaraman, Senior Lead Engineer and Data Platform Expert, to share practical insights from real-world enterprise AI implementations.
Together, they'll explore how modern organizations are preparing their data, designing AI architectures, adopting Microsoft Fabric and Databricks, implementing AI Agents and Retrieval-Augmented Generation (RAG), and building scalable AI systems that create measurable business value.
During this session, you'll learn:
- Why Enterprise AI is much bigger than ChatGPT
- The fundamentals of Enterprise AI Architecture
- Building AI-ready data platforms and modern analytics solutions
- Microsoft Fabric, Databricks, Azure Analytics, and Data Engineering
- AI Agents, RAG, and the future of intelligent enterprise applications
- AI governance, security, compliance, and responsible AI
- Common mistakes organizations make while adopting AI
- Skills required for AI Engineers, Data Engineers, Architects, and Technology Leaders
- Career opportunities in Enterprise AI, Data Engineering, and Cloud
Who should attend?
- Software Engineers
- Data Engineers
- AI & Machine Learning Engineers
- Cloud & DevOps Professionals
- Solution Architects
- Enterprise Architects
- Engineering Managers
- Students and Fresh Graduates
- Technology Leaders
- Anyone passionate about AI, Data, Cloud, and Digital Transformation
Whether you're starting your AI journey, designing enterprise-scale solutions, or leading AI transformation initiatives, this session will provide practical knowledge, industry best practices, architectural thinking, and career guidance from experienced professionals.
Join us for an inspiring discussion where enterprise architecture meets data engineering, and discover how the next generation of intelligent AI systems is being built.
Register now and become part of the CareerByteCode community as we explore the technologies, strategies, and leadership shaping the future of Enterprise AI.
Speakers