By Bala Kalavala, Chief Architect & Technology Evangelist Introduction Agentic AI architecture represents a shift from static model responses to structured, goal-driven systems that reason, collaborate, and act independently within defined boundaries. These multi-layered architectures […]
By Bala Kalavala Summary In the race for AI-driven transformation, enterprise leaders face a critical decision: rely solely on proprietary large language models (LLMs) or harness the power and flexibility of the open-source ecosystem. This […]
(What follows is Part 2. Part 1 appeared yesterday here.) By Bala Kalavala, Chief Architect & Technology Evangelist Benefits and Challenges of Each Approach Both EDA and DDA offer significant advantages but also come with their […]
(What follows is Part 1. Part 2, which addresses “Benefits and Challenges of Each Approach” will appear on 5/21) By Bala Kalavala, Chief Architect & Technology Evangelist Event-Driven Architecture (EDA) and Data-Driven Architecture (DDA) represent […]
By Bala Kalavala, Chief Architect & Technology Evangelist Orchestration Frameworks: Like a Conductor for AI In the world of computers, “orchestration” is like a conductor leading a musical orchestra. It involves coordinating various computer systems, […]
By Bala Kalavala, Chief Architect & Technology Evangelist The Mixture-of-Experts (MoE) architecture is a groundbreaking innovation in deep learning that has significant implications for developing and deploying Large Language Models (LLMs). In essence, MoE mimics […]
By Bala Kalavala, Chief Architect & Technology Evangelist Summary The article explores the transformative potential of AI in revolutionizing enterprise architecture. It highlights the key benefits of AI, including enhanced decision-making, improved efficiency, risk mitigation, […]