TRENDING
THE ESSENTIAL ROLE OF TRADITIONAL AI AND EDA IN THE JOURNEY TO AGENTIC AI
Jamil Ahmed , Distinguished Engineer , Solace , says in the race for AI supremacy , the winners will be those who can turn the firehose of real-time data into a precision instrument of business intelligence .
The landscape of artificial intelligence has undergone a seismic shift , evolving from rudimentary rule-based systems to sophisticated networks capable of complex pattern recognition .
Today , we stand on the precipice of a new era – agentic AI . These advanced systems possess the ability to autonomously perceive , decide , and act within their environment , adapting to new situations with minimal human intervention .
Before we can fully realise the potential of agentic AI in a business setting , we must address the foundational challenges that plague current enterprise AI implementations . These hurdles include the lack of real-time information processing , scalability issues in distributed environments and the persistent problem of siloed data across organizational boundaries .
The future belongs to those who can harness the power of real-time context .
The missing link : real-time context in the AI ecosystem
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 fall short in dynamic business environments where split-second decisions can make or break opportunities . Event-Driven Architecture ( EDA ) and the concept of a context mesh is the missing ingredient that promises to transform enterprise AI into a real-time , context-aware powerhouse .
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