Unlocking hidden revenue streams with market models
An examination of how airlines can use market models to price complex, multi-connection journeys by weighing many variables including demand, season, and competitor activity.
AI across banking, markets, and fintech — fraud detection, risk, trading, customer service, and the compliance questions they raise.
An examination of how airlines can use market models to price complex, multi-connection journeys by weighing many variables including demand, season, and competitor activity.
Binance has introduced Agent OS, enabling AI agents to trade while placing responsibility for keeping them in check largely on users.
As spending on data centers and GPUs surges, a startup is tackling the lack of a standard way to price AI compute or hedge against price changes.
OpenAI CFO Sarah Friar shares five lessons on building an AI-native finance function, including automated forecasting, stronger controls, and measuring AI ROI.
nOps moved its Clara FinOps AI agent from a self-managed EKS stack to Amazon Bedrock AgentCore, reducing time-to-production by 75% while improving response quality.
Model ML applies OpenAI's GPT-5.6 Sol to carry out finance work, spanning research and analysis and producing editable, traceable PowerPoint and Excel outputs.
LendingTree developed a production mortgage assistant on Amazon Bedrock using three coordinated agents to deliver 24/7 personalized guidance while meeting financial-services compliance.
An AWS blog post details architecting a multi-agent market surveillance system using LangGraph for orchestration and Strands for agent reasoning on Amazon Bedrock AgentCore.
Jefferies deployed an AI-powered trade assistant built on Strands Agents, Amazon Bedrock, and the Model Context Protocol to improve front office trading operations.
Accounting is an unusually good fit for AI on the input side and an unusually bad one on the output side. The line between those two is the whole discipline.
Built Technologies worked with AWS teams to create an AI-powered document processing engine for real estate finance, cutting multi-day workflows to minutes across hundreds of document types.
Fraud detection is one of AI's most mature, high-value uses in finance. Here is how real-time machine learning models catch fraud, the false-positive trade-off, and where humans still fit.
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