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Agentic AI is a sea change in the use of AI, going beyond simple LLM applications to create autonomous systems capable of never-before-seen levels of reasoning and adaptation.
that AI projects have a failure rate as high as 80 %. In fact, according to an IBM study of over 8,500 IT professionals worldwide, limited AI skills and expertise, data complexity and ethical concerns were cited as top barriers to AI deployments.
In addition, other studies show many projects fail to scale due to legacy architecture dependencies, but also due to costs and performance in scaling something so complex and unstructured. Even when projects do get up and running, data quality, governance, security and tech workflow integration hurdles remain.
Meet the AI force multiplier: event-driven architecture and the event mesh
At the heart of these challenges lies a critical deficiency – the absence of real-time, contextual information flow. Traditional batch processing and static data models still in use by many organizations fall short of providing dynamic business environments where decisions, often that have to be made in split-seconds if you consider financial trading, are the make or break of trading opportunities.
An event mesh, underpinned by event-driven architecture( EDA), is the missing ingredient that promises to transform enterprise AI into a real-time, context-aware powerhouse. An event mesh is an interconnected network of event brokers that dynamically routes eventdriven information between all kinds of applications and devices across environments and around the world.
Here’ s where the event mesh shines for AI deployment. It provides the decoupling needed for
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