DataHub Cloud Context Supports Agent Accuracy

november 2
2026

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The mainframe hasn’t changed. The economics of attacking it have! Encryption, authentication, and access controls deserve another look.

Check out the Planet Mainframe article 'Claude Mythos and TN3270 Emulators - Be Afraid, Be Very Afraid' to learn more about:

NEWS FLASHES

meshIQ and Treehouse Software Enter Partnership for Mainframe Data Delivery

Airbyte MCP Server Empowers Users to Talk with Their Data

lDataHub Cloud Context Supports Agent Accuracy

Hitachi Launches New Global Digital Services Company: Hitachi Digital

RESOURCE OF THE DAY

Physical AI in 2027: Real-Time Data, Edge Architecture and Fidelity

THINK ABOUT IT

Discover the Latest Cybersecurity Risk That Exploits AI Vulnerabilities: ‘Slopsquatting’

meshIQ and Treehouse Software Enter Partnership for Mainframe Data Delivery

meshIQ has teamed up with Treehouse Software to help organizations modernize the data pipelines that connect legacy systems with cloud analytics platforms. This partnership combines Treehouse Software’s Dataflow Toolkit (TDT), which automates data delivery from Apache Kafka, with meshIQ’s Kafka management and observability features, allowing data engineering and IT operations teams to have centralized visibility and control over the streaming infrastructure supporting these pipelines. The pathway from legacy sources to cloud environments makes current and historical enterprise data available to organizations for predictive analytics, machine learning, and generative AI.

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Airbyte MCP Server Empowers Users to Talk with Their Data

Airbyte, creator of the open data movement platform, is offering new capabilities that enable users to chat directly with their data and use agents, along with AI assistants, to monitor Airbyte pipelines, diagnose, and resolve issues.

According to the company, the new Model Context Protocol (MCP) server added to Airbyte’s data movement platform makes all of this possible—providing a natural-language interface to use with AI assistants such as Claude, Cursor, and ChatGPT.

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DataHub Cloud Context Supports Agent Accuracy

DataHub, provider of a popular open-source metadata and context platform, is releasing DataHub Cloud Context, offering new capabilities that turn context management from a one-time setup into a system that continuously proves and improves agent accuracy.

According to the company, DataHub Cloud Context now ships with three new capabilities that form a sequenced approach that delivered uniformly consistent, trustworthy agents in the five-month beta that preceded general availability.

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Hitachi Launches New Global Digital Services Company: Hitachi Digital

Hitachi, Ltd. (Hitachi) is announcing plans to launch Hitachi Digital Inc. (Hitachi Digital), a new global digital services company, on April 1, 2027—uniting Hitachi’s U.S. subsidiaries, GlobalLogic Inc. (GlobalLogic) and Hitachi Digital Services LLC (Hitachi Digital Services) under a single company using the Hitachi brand.
According to the company, Hitachi Digital will steadily guide enterprise digital transformation at the convergence of cloud, data, and AI toward concrete business results.

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Physical AI in 2027: Real-Time Data, Edge Architecture and Fidelity

Physical AI is moving from pilot to production. In 2027, more organizations will rely on models that sense conditions across factories, energy systems and distributed operations, then act and adapt. Those models depend on a continuous, high-resolution record of what the equipment actually did.

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Discover the Latest Cybersecurity Risk That Exploits AI Vulnerabilities: ‘Slopsquatting’

You may never have heard of the term “slopsquatting” before, but as AI continues to rapidly expand, it’s likely you’ll become very familiar with it in the near future. AI capabilities continue to improve at a rapid pace, and one sector feeling the profound impact is software engineering. With a few prompts, AI can write code automatically, in the fraction of time it would have taken a human coder. A recent survey found that 45% of organizations have launched AI-generated code. Some companies are even using AI to write as much as 75% of their code.

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