Context intelligence for your data and AI agents at scale
Agents are only as intelligent as the context they can reason over.
Referenced Coverage & Sources
Using AI_Functions in Your Data Warehouse: Top Use Cases
In most organizations, data warehouses hold structured data, while unstructured data.
Bring Your Spreadsheet Data to Life with Sheets Canvas
Sheets canvas turns data into interactive dashboards, custom study trackers, seating charts, and more, all with a simple prompt.
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.
Amazon Can Use Your Twitch Content to Train Its AI-Unless You Opt Out
When Twitch announced that streamers could opt out, thousands of users questioned why their content was being used to train AI models in the first place.
AI Agent
An AI Agent is an autonomous entity that perceives its environment through sensors (or inputs) and acts upon that environment using actuators (or tools) to achieve specific goals. An agent relies on a reasoning brain (typically an LLM) to plan and execute multi-step processes.
Agentic AI
Agentic AI refers to artificial intelligence systems designed to act autonomously, make decisions, plan workflows, and execute tasks without constant human intervention. Unlike traditional models that only respond to queries, agentic systems use an agentic loop to perceive environments, reason over goals, use tools, and iterate to achieve outcomes.
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