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Impetus builds an operational framework to bridge AI’s ‘context gap’

AI agents are being widely deployed inside businesses today, but do they actually know how to get results? This is the fundamental question being asked in many boardrooms as enterprises implement AI strategies tied to agents performing key tasks. Impetus Technologies Inc. has built its value proposition on the belief that it can bridge the […] The post Impetus builds an operational framework to…

Impetus builds an operational framework to bridge AI’s ‘context gap’

Businesses are increasingly deploying AI agents to perform key tasks, but the question remains: do these agents truly understand how to generate results? Impetus Technologies Inc. aims to bridge the "context gap," the space between what AI models know and the unique attributes of the organizations they serve. According to Deepak Khosla, Impetus' chief growth officer and head of AI, the gap is not the large language models, but rather the context.

Khosla discussed with John Furrier on theCUBE how Impetus builds an operational framework to provide context to agentic AI, known as the Context Engineering Delivery Lifecycle (CEDL). The CEDL involves creating, engineering, and learning from context to enable AI agents to perform effectively. This process requires modernizing legacy systems, organizing semantic meaning, and orchestrating agents for deployment.

Key aspects include building knowledge graphs to understand entity relationships, creating an ontology layer of business tools, and formulating memory. Memory is crucial as it allows for both short-term and long-term memory, which is especially important given the way large language models (LLMs) function. If LLMs learn incorrect information, it will persist and affect subsequent actions.

Impetus has developed a Leap AI suite of products to facilitate the deployment of AI systems. By integrating context engineering into these products, Impetus ensures that agentic systems are infused with software discipline and service flexibility. This involves a blend of data platform modernization and a deep understanding of the specific knowledge required by each company or industry.

Khosla explained that Impetus helps by building the knowledge layer and semantic layer upfront, importing the rest of the enterprise knowledge to the agents. Essentially, Impetus works to make these agents as knowledgeable as a smart new hire would be, providing them with the necessary context to perform well within their organization.

Written by urgent.news from SiliconANGLE's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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