
Why Capital One Built Its Multi-agent AI Platform Around Open-weight Models
Presented by Capital One At VB Transform 2026 , Kel Vanee, MVP of machine learning engineering at Capital One, spoke with Sam Witteveen, Senior Technology.
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Referenced Coverage & Sources
Regal Ties Its Voice AI Agents Into Five9's Contact Center Platform
Enterprise voice artificial intelligence company Regal Voice Inc. today unveiled an integration with Five9 Inc. that makes its autonomous AI voice agents available to customers of the contact center software provider.
LLMOps and Platform Engineering: Who Should Own the AI Pipeline?
A few years ago, getting a model into production meant a data scientist, a DevOps engineer, and a narrow set of tools: train it, test it, ship it, watch the dashboards.
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.
Mark Zuckerberg's AI Manifesto Is 6,500-Words-and Barely Says Anything
AI is shifting the culture, from tech CEO manifestos to 1 am job interviews.
Machine Learning
Machine Learning is a branch of artificial intelligence focused on building systems that learn from data, identify patterns, and make decisions with minimal human intervention. It represents the broader field that includes deep learning and classical statistics.
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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