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elastic

Context engineering: The missing layer for trusted AI in financial services

Jan 30, 2026 By Karen Mcdermott In Elastic
Financial services AI demands more than models and prompts. Context engineering provides real-time, governed, and explainable intelligence with Elastic serving as the foundational context layer. Artificial intelligence in financial services is no longer constrained by model capability. The real bottleneck is context.
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cloudzero

Track OpenAI Spend: Explain Where Your OpenAI Budget Goes

Jan 30, 2026 By Lyne Carolyne In CloudZero
The inevitable happened. A while back, Gartner projected that in 2026, 30–50% of all new SaaS product features would use LLM inference. That meant OpenAI-style costs would become a standard part of SaaS COGS. Today, OpenAI has become one of the most operationally significant line items for SaaS companies. But for many teams, this creates an uncomfortable gap. Engineering sees OpenAI as a fast path to innovation.
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influxdata

Building with the InfluxDB 3 MCP Server & Claude

Jan 30, 2026 By Suyash Joshi In InfluxData
InfluxDB 3 Model Context Protocol (MCP) server lets you manage and query InfluxDB 3 (Core, Enterprise, Dedicated, Serverless, Clustered) using natural language through popular LLM tools like Claude Desktop, ChatGPT Desktop, and other MCP-compatible agents. The setup is straightforward. In this article, we will focus on setting up InfluxDB 3 Enterprise using Docker with Claude Desktop.
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PIM Systems in the Age of AI: Real Benefits for Businesses

PIM Systems in the Age of AI: Real Benefits for Businesses

Jan 30, 2026 By OpsMatters In OpsMatters
Modern companies and brands compete across multiple channels: websites, marketplaces, social media, and apps, while customers expect accurate, detailed, and personalized product information instantly. Managing product data manually is no longer sustainable. Product Information Management (PIM) systems, once reserved for large companies, are now essential for businesses of all sizes. The global PIM market reached $14.4 billion in 2024 and is expected to grow to $33.4 billion by 2033 (IMARC Group). This growth reflects the urgent need for centralized product data management.
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speedscale

Refactor Safely with AI: Using MCP and Traffic Replay to Validate Code Changes

Jan 29, 2026 By Matthew LeRay In Speedscale
So as software engineers using AI coding assistants, we’re quickly learning of a new anti-pattern: Hallucinated Success. You give your agent (e.g. Claude via terminal or various IDE code assistants) the command “refactor the billing controller.” The agent happily complies, churning out nice clean code. The agent even goes so far as to write a new unit test suite that passes at 100%. You integrate it. Your test suites pass. Your production code breaks. Why?
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