The distinction between AI Agents vs. Agentic AI defines whether enterprises automate tasks or decisions. This article explains how reasoning, memory, and adaptability separate these two systems.
OTIF-D for HLS built on Databricks. For real-time visibility, predictive analytics, and high performance across global operations.
Learn key MLOps best practices for Databricks, covering automation, governance, FinOps, and observability. Discover how Syren helps enterprises operationalize both ML and LLM workflows using MLflow, Unity Catalog, and Databricks Asset Bundles for scalable, reliable, and cost-efficient systems.
Speed Building is reshaping enterprise engineering by merging AI-driven acceleration with human expertise. It’s how Syren approaches modernization — balancing speed, structure, and context to build systems that endure.
Agentic AI is shifting enterprises from AI that supports thinking to AI that executes decisions on its own. Discover current adoption trends, pitfalls, and pathways to scale agentic systems responsibly.
Leaders often use Generative AI and Agentic AI interchangeably, but they mark different stages of AI maturity. This blog explores the distinction, key use cases, and how enterprises can evolve from AI that creates to AI that acts.
