The Missing Ingredient in AI Accuracy: Context

The Missing Ingredient in AI Accuracy: Context

“How contextual intelligence transforms unstructured data, complex documents, and workflows into precise, role-aware answers.”


Context is what transforms AI from a generic responder into an intelligent partner that understands intent, purpose, and nuance. Without context, even the most advanced model behaves like a search engine with no history—capable of giving correct information but often irrelevant to the user’s real need. In the enterprise, this gap becomes costly. A sales manager asking about “pipeline health” needs dynamic, role-aware insights—not textbook definitions. When AI can interpret intent based on persona, history, and content, responses become far more accurate, relevant, and trustworthy.

Please read the full article – https://lnkd.in/gBgywTXg

About Siva Shanmugam
Sivakumar Shanmugam (Siva) is the Vice President of Product Management for the Data 360 team at Salesforce, where he leads the Product Management organization for Data 360 in the India Development Center (IDC) and serves as Site Leader driving innovation from India. In this role, he oversees the development of core data and AI capabilities that power Agentforce, including unstructured data pipelines, semantic queries, knowledge graphs, and secure, enterprise-ready data platforms. His work focuses on enabling a next-generation Customer 360 experience, actionable data technologies, seamless connectivity across orgs, and a strong developer ecosystem—while ensuring the highest standards of security, governance, and compliance.

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