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A cloud-native, AI-powered CTRM challenger just went live

Legacy CTRM vendors, take note: a lower-cost, AI-native challenger just landed its first customer. CTRM Next, a new cloud-native commodity trading and risk management platform, went live on Sept 28 with its first customer — a Swiss oil and refined products trader — after completing UAT. It’s already building a pipeline into Gulf region firms,Continue reading “A cloud-native, AI-powered CTRM challenger just went live”

AI Didn’t Replace Your Analysts — It Gave Them a New Job: Checking Its Work

Abstract illustration of a checkmark and magnifying glass over a data chart, representing human oversight of AI-generated analytics

A new 2026 industry survey finds 96% of analysts now use AI daily — and spend hours a week fact-checking it. Here’s why that’s a sign the role is working, not failing.

Why Your AI Agent Gives Three Different Answers to the Same Business Question

A clean, modern editorial illustration for a business/tech analysis blog. Theme: inconsistent AI answers across BI tools and the fix of a unified semantic layer. Show three separate abstract dashboard panels/chatbot bubbles each displaying a different glowing number or chart for the same metric, with divergent thin data-flow lines -- then a fourth panel below where a single glowing hub/funnel-like structure (representing a semantic layer) merges the same data streams into one consistent, aligned chart. Cool blue and teal palette with subtle amber accents, flat geometric style, soft gradients, minimal and professional -- no text, no logos, no people's faces.

As every BI tool bolts on an AI agent, a quiet problem is surfacing: ask three tools the same business question and you get three different numbers. Here’s why, and what a semantic layer actually fixes.

🚀 Transforming the Pre‑Deal Process in CTRM: How AI, GenAI, and Mobile Apps Are Redefining Front‑Office Efficiency

Commodity trading has always been a race against time. Markets move fast, counterparties expect instant responses, and traders rely on accurate, real‑time insights to make profitable decisions. Yet, in many organizations, the pre‑deal process — the critical workflow before a trade is executed — remains slow, manual, and fragmented across emails, spreadsheets, and legacy systems.Continue reading “🚀 Transforming the Pre‑Deal Process in CTRM: How AI, GenAI, and Mobile Apps Are Redefining Front‑Office Efficiency”

The Future of Commodity Trading: How AI is Reshaping CTRM

The world of commodity trading is in constant motion, driven by volatile markets, intricate logistics, and ever-evolving risks. For years, Commodity Trading and Risk Management (CTRM) systems have been the backbone of this industry, helping firms manage the complexities. But what if these systems could do more than just manage? What if they could predict,Continue reading “The Future of Commodity Trading: How AI is Reshaping CTRM”

AIS-Not a blue dot anymore…

In the 2026 commodity landscape, AIS (Automatic Identification System) data is no longer just a “tracking” feed; it is the fuel for predictive logistics. By integrating AI-driven vessel intelligence into a CTRM, trading firms can move from reactive scheduling to proactive profit protection. Here are the specific elements of AI-enhanced vessel tracking and how theyContinue reading “AIS-Not a blue dot anymore…”