Scaling AI Agents with Trustworthy Data
Business and technology leaders need no convincing that the time of agentic AI is here.
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Referenced Coverage & Sources
How Amtrak Is Building the Data Backbone for Its Largest Transformation in Over 50 Years
"Every new trainset is a data-generating asset.
Rogue AI Agents Aren't Evil. They're Just Eager to Please
AI agents that break free and hack into other systems are only trying to make us happy.
How a Major Freight Railroad Scaled Pipeline Creation with Genie Code
One of Canada's largest railway networks spans roughly 20,000 route miles across.
Pay with Confidence: How Solv Labs Built Verifiable, Auditable Agent Payments on Amazon Bedrock AgentCore Payments
Solv Labs built a governed agent-payments workflow on Amazon Bedrock AgentCore payments, where every transaction is authorized, attested in an AWS Nitro.
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.
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.
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