Keeping pace with news and developments in the real-time analytics and AI market can be a daunting task. Fortunately, we have you covered with a summary of the items our staff comes across each week. And if you prefer it in your inbox, sign up here!
The Linux Foundation announced the launch of the DNS-AID project, an open-source project enabling AI agents to discover and communicate with one another in a standard way. By leveraging the internet’s existing Domain Name System (DNS) infrastructure, DNS-AID provides a robust, decentralized alternative to the centralized registries and hardcoded URLs currently limiting AI interoperability.
To that end, the project, initially developed by Infoblox, enables agents and Model Context Protocol (MCP) servers to use DNS as a global, vendor-neutral directory. This approach ensures that agent discovery remains scalable, secure, and compatible with the foundational protocols of the internet.
Additionally, the DNS-AID project provides a reference implementation including a Python SDK, a command-line interface (CLI), and an MCP server, allowing developers to integrate agent discovery into their existing workflows immediately. Because the protocol is implementation-agnostic, it functions across any DNS provider, ensuring that organizations maintain control over their agent infrastructure without relying on proprietary, centralized services.
Real-time analytics news in brief
amazee.ai, a Mirantis company, announced the launch of the amazee.ai Private AI Gateway, an OpenAI-compatible API that ensures organizations can deploy AI applications with multiple frontier and open weight AI models like GPT, Claude, Gemini, or Kimi securely in specific regions with no retention of data. Intended for enterprises operating in regulated or security-sensitive industries such as financial services, healthcare, government, and legal services, amazee.ai Private AI Gateway provides organizations with a single OpenAI-compatible endpoint that routes requests to multiple AI models while maintaining private, isolated tenants.
CoreWeave announced the launch of unified agentic AI capabilities that accelerate progress toward the superintelligence loop, a closed feedback loop between training and inference. With reinforcement learning, production inference, agent observability, and autonomous improvement working as one closed loop, agents not only become more reliable, but they also compound in capability over time. To that end, CoreWeave integrates four capabilities into a single closed loop, including training without the overhead, inference built for production, visibility across every agent at scale, and autonomous improvement.
DataHub introduced a major new release of DataHub Cloud that can ingest, structure, improve, and serve trusted context to analytics agents, dramatically increasing their accuracy and reliability in production. DataHub Cloud v1 serves as a context layer that sits between analytics agents, like Databricks Genie and Snowflake Intelligence, and enterprise data from data stores, like data warehouses and data lakes, to give agents trusted context to get analytics right and smarter with every query.
EnterpriseDB announced EDB Postgres Distributed (PGD) 6.4, the distributed transactional foundation of EDB Postgres AI. The release introduces three landmark capabilities: Quorum Commit for true cross-node distributed consistency, integrated connection pooling through the native Connection Manager, and full support for PostgreSQL large objects. Together, they deliver the durability guarantees and architectural simplicity that Tier 1 financial and infrastructure applications demand.
Precisely announced support for Google Sheets in Automate Studio, extending its no-code SAP automation capabilities to Google Workspace users. The new Google Sheets support in Automate Studio allows business teams to execute enterprise-scale SAP data processes directly from spreadsheets, while maintaining the validation, governance, and auditability. The support also allows business users to continue working in a familiar spreadsheet interface while applying SAP validation rules, user permissions, security requirements, and governed execution controls.
Qumulo announced the Qumulo Cloud AI Accelerator, a new approach to enterprise AI infrastructure that presents distributed enterprise data in real time to GPU resources across regions, clouds, and hybrid environments without replication, staging delays, or data-consistency trade-offs. The solution eliminates the data-gravity and data-staging bottlenecks that cause GPU idle time in the first place, enabling enterprises to build an agile AI infrastructure that adapts in minutes to changing GPU availability across clouds and regions, creating true enterprise GPU Liquidity.
Ragic announced the release of Ragic AI Agent, a new artificial intelligence solution that puts AI power into the hands of companies of any size, especially those lacking in-house technical expertise. Ragic AI Agent lives natively inside a user’s database, eliminating the need for deployment, integrations, manual data feeding, or coding. Because everything runs within the Ragic account, the data stays secure and never leaves a user’s environment.
Starburst announced the Starburst Enterprise Intelligence Platform, enabling enterprises to run AI directly on governed data across distributed environments. At the center of the platform is AIDA, now generally available, which brings AI-powered intelligence directly into the workflows, applications, and agents where business users work. Starburst also introduced new AI-Ready Data Products that provide consistent business context for queries, models, and AI agents, along with additional capabilities including Icehouse Ingest and Icehouse LakeOps for Apache Iceberg operations, and Bring Your Own Cloud (BYOC) deployments for customer-managed infrastructure.
Syntax announced the launch of ShiftBook, a new purpose-built solution developed to extend and enhance the capabilities of SAP Digital Manufacturing, a next-generation Manufacturing Execution System (MES). ShiftBook allows frontline operators to easily capture, track, and share essential production information directly from the shop floor. By providing a standardized, digital handover process, ShiftBook ensures seamless communication between teams, supervisors, and shifts.
Templafy announced the launch of Templafy MCP, a new integration that connects third-party AI platforms with Templafy’s document agents. The solution integrates document agents with third-party AI platforms, bringing a combination of Templafy’s document generation capabilities with a single governance layer. With Templafy MCP, enterprises can govern AI-generated document creation across teams, tools, and models without forcing employees into a single AI interface.
TrustLogix announced the next generation of TrustAI. The new release introduces intent-based authorization for AI agents, a runtime kill switch that lets security teams cut off a high-risk agent’s data access instantly across every connected data platform, a Model Context Protocol (MCP) Data Gateway, the Guardian Agent, and audit and compliance tooling designed to meet today’s most demanding regulatory frameworks.
Partnerships, collaborations, and more
The EuroHPC JU inaugurated a new EuroHPC quantum computer, located in Spain. The new system highlights the EuroHPC JU’s commitment to deploying a sovereign and state-of-the-art quantum computing infrastructure across Europe. Hosted and operated by the Barcelona Supercomputing Center (BSC) and supplied by Qilimanjaro Quantum Tech and Do IT Now, EuroQCS Spain is an analog quantum computer, which allows implementing quantum annealing routines. The solution will be integrated into MareNostrum 5, one of Europe’s world-class EuroHPC pre-exascale supercomputers, enabling a hybrid classical–quantum architecture accessible to European researchers, industry, and public users.
Compal Electronics announced a collaboration with GMI Cloud to advance the deployment of next-generation AI infrastructure optimized for large-scale inference and emerging agentic AI workloads. Under this engagement, GMI Cloud will adopt high-performance GPU server platforms designed to support the growing demands of large-scale AI training and inference workloads.
Denodo announced that Agora, the Denodo Cloud Service, is now available on the Microsoft Marketplace. Agora, combined with Microsoft’s AI and data services, enables organizations to extend their agentic AI capabilities to critical data residing in 200+ source systems across on-premises systems, SaaS offerings, and other cloud platforms while facilitating compliance with regulatory, data sovereignty, and security requirements. To that end, Agora complements Microsoft Fabric’s semantic intelligence capabilities by providing the logical data access layer that connects AI agents to operational and analytical data outside Microsoft systems.
Emerson announced that it is collaborating with SiMa.ai to deliver advanced AI capabilities for real-time data analysis on Emerson’s industrial PCs in the harshest industrial field environments, on the factory floor, and at remote sites. SiMa.ai’s MLSoC (Machine Learning System on Chip) provides the high-performance compute and industry-leading power efficiency necessary for Emerson’s industrial PCs to support Physical AI workloads in real time.
Mistral AI is acquiring Emmi AI to enrich its products and expertise, aiming to accelerate the work of engineering solution teams worldwide. With Emmi AI’s models complementing Mistral AI’s, the company can build agents for engineers. Specifically, the acquisition accelerates Mistral AI’s Science roadmap, advancing the understanding of fundamental physics and leveraging unique industrial data.
Persistent Systems and Kong announced a strategic partnership to help enterprises implement the control layer required to scale AI securely and reliably. The partnership enables enterprises to implement Kong’s governed, scalable connectivity layer across APIs, data, and AI services. Together, Persistent and Kong will enable organizations to modernize legacy API environments, strengthen governance, and reduce operational costs.
Qlik today announced a strategic partnership with Starburst to help enterprises turn fragmented data into governed, AI-ready intelligence. The collaboration will pair Qlik’s data integration, replication, analytics, and agentic workflows with Starburst’s federated query engine, context layer, and agentic capabilities, giving customers more choice in how they query, move, prepare, and use data across cloud, on-premises, and hybrid environments.
Snowflake announced that it has signed a multi-year strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to accelerate enterprise agentic AI adoption to help joint customers worldwide build and deploy AI faster and more securely. As part of the expanded collaboration, Snowflake is making a $6 billion multi-year infrastructure commitment to AWS, its largest to date, reflecting the accelerating enterprise demand for AI and data workloads running on AWS.
Workspot announced GUIDE, an AI-powered workflow automation platform, and its official launch on Amazon Web Services (AWS). Built on AWS, GUIDE enables enterprises to automate complex, cross-application workflows by allowing business users and automation teams to create AI agents that operate across any interface, without relying on APIs or fragile screen scraping. With GUIDE, organizations can automate workflows, enable business users to build workflows using natural language prompts, and more.
If your company has real-time analytics news, send your announcements to ssalamone@rtinsights.com.
In case you missed it, here are our most recent weekly real-time analytics news roundups:
