Pre-trade transaction cost analysis: Turning trading analytics into better execution decisions

How can your trading insights driving better execution? Explore how connected analytics help turn insight into action across ...
InfoWorld

2-agent architecture: Separating context from execution in AI systems

When I first started experimenting with voice AI agents for real-world tasks like restaurant reservations and customer service calls, I quickly ran into a fundamental problem. My initial monolithic ...

How APIs can transform end-to-end trading workflows: Connecting data, analytics and execution

Learn how Bloomberg's APIs connect pre-trade analytics, liquidity discovery and execution into a single decision-making ...
MarketWatch

Syntes AI Launches Context Graph, the Execution Layer for Trusted Enterprise AI Agents

NEW YORK, Feb. 17, 2026 /PRNewswire-PRWeb/ -- Syntes AI today announced the launch of its Context Graph, a new enterprise AI layer designed to solve the problem blocking AI adoption at scale: AI can ...
Supply Chain Management Review

Why supply chains are shifting toward context-driven execution

For years, supply chain technology has focused on the single goal of visibility, with companies investing heavily in tracking systems, dashboards, and control towers designed to show where products ...

Context Is The Oil Of The AI Economy—And The Basis For New, Intelligent Systems Of Action

For years, business leaders have understood data is the “new oil.” In the age of AI, that premise deserves an update.
Hackaday

How Anthropic’s Model Context Protocol Allows For Easy Remote Execution

As part of the effort to push Large Language Model (LLM) ‘AI’ into more and more places, Anthropic’s Model Context Protocol (MCP) has been adopted as the standard to connect LLMs with various external ...