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!
Qlik announced an expansion of its agentic execution strategy into data engineering, introducing capabilities designed to help data teams create, evolve, and deliver trusted data faster as demand for AI-ready data continues to rise. To that end, the latest data engineering release brings agentic execution into the engineering workflow itself, giving teams new ways to translate intent into working data assets, reduce repetitive effort, and speed delivery without stripping away the control required for production environments.
In other company news, Qlik introduced the Qlik AI Sovereignty Initiative, defining a practical way to operate analytics and AI as data location, jurisdiction, and policy requirements become harder constraints on enterprise architecture. The initiative helps organizations operate with stronger control over where analytics and AI are deployed, how they are governed, and how architectural choices are made as infrastructure, policy, and business requirements continue to evolve.
Complementing that news, the company announced a major expansion of its trust and governance capabilities for AI, centered on data products and the operational controls required to make them reliable for both human decision-making and AI-driven action. This release brings together data products, trust signals, operating standards, anomaly detection, and agent-assisted stewardship into a tighter set of capabilities designed to help teams monitor, govern, and improve the data products that feed analytics and AI.
Real-time analytics news in brief
Cloudflare announced that it is expanding its Agent Cloud with new features to help developers build, deploy, and scale agents. The full suite of tools and infrastructure to power the next generation of AI agents, allowing developers to scale agents efficiently with a purpose-built compute model, power agents with Git-compatible storage, give agents their own computers with sandboxes, ensure reliability and flexibility with a unified AI platform, and more.
Copado announced Agentia, a Salesforce-first 360 delivery solution that embeds context-aware AI agents directly into the software delivery lifecycle to help teams release with Agentforce faster while maintaining governance, testing, and control in the agentic era. Built on Copado’s existing DevOps foundation on the Salesforce AgentExchange, Agentia enables agents to understand Salesforce metadata, dependencies, environments, pipelines, and testing activity, allowing them to take meaningful, governed action across the lifecycle rather than simply responding to prompts.
Equinix announced the availability of Equinix Fabric Intelligence, an AI-native operational layer to manage network infrastructure. Fabric Intelligence enables enterprises to deploy AI-powered networking across their operations, a shift from legacy software-defined networking design to simplify the complexities of today’s AI workflows. Powering the Equinix Distributed AI Hub, Fabric Intelligence introduces smart automation for deploying, optimizing, and maintaining global infrastructure, giving organizations a more resilient, efficient, and adaptive backbone for their AI workloads.
Kong announced Kong Agent Gateway within the AI Gateway 3.14 release. The solution extends Kong AI Gateway with purpose-built capabilities for managing, securing, and observing A2A communication, bringing agent-critical functionality to both an organization’s AI Gateway and larger AMP. Combined with Kong’s existing solutions, Agent Gateway creates a comprehensive governance layer across the entire AI data path to enforce consistent policies across all AI traffic from a single control point.
Lanai announced general availability of its AI @ Work Operating System, a platform that discovers every AI workflow across an organization, measures its business impact, and gives leaders data-driven insights to help decide which AI investments to scale and which to cut. The solution moves enterprises from tracking AI activity to managing AI performance, connecting every human, copilot, and agent workflow to pipeline velocity, SLA attainment, engineering throughput, and capacity gained.
NVIDIA announced a family of open source quantum AI models, NVIDIA Ising, designed to help researchers and enterprises build quantum processors capable of running useful applications. The solution includes customizable models, tools, and data that accelerate quantum processors. Specifically, the NVIDIA Ising family provides high-performance, scalable AI tools for quantum error correction and calibration, which are two of the most critical challenges in building hybrid-quantum classical systems.
SnapLogic announced the introduction of AI Gateway and Trusted Agent Identity as core pillars of its Agentic Integration Platform. These innovations help enterprises embed AI directly into enterprise workflows across AI connectivity, agentic orchestration, and governance. With these additions, SnapLogic is expanding its platform to turn existing enterprise integrations into tools that any AI agent can call, regardless of where that agent was built.
Starburst announced its AI Data Assistant (AIDA). With AIDA, users can explore and analyze trusted enterprise data using natural language, making it easier to turn questions into actionable insights. Additionally, with AIDA, organizations can move beyond static reporting and give users governed, on-demand access to trusted enterprise data, enabling faster, more context-aware decisions.
Supermicro announced a family of compact, high-efficiency platforms powered by AMD EPYC 4005 series processors. The edge-optimized systems are designed to accelerate AI inferencing and general-purpose workloads in space and power-constrained environments. The latest additions to the portfolio include three new edge AI systems that enable organizations to deploy intelligent applications at scale, ranging from real-time analytics to business-critical infrastructure.
Partnerships, collaborations, and more
Commvault announced an expansion of its Commvault Flex partner ecosystem, extending to Hitachi Vantara and NetApp. Commvault Flex, previously called HyperScale Flex, delivers purpose-built data protection and resilience with a flexible architecture that connects to external high-performance flash storage pools. Building on the existing Commvault Flex ecosystem with Everpure, HPE, and VAST Data, this expanded ecosystem with Hitachi Vantara and NetApp gives enterprises greater flexibility and confidence to meet cyber recovery performance objectives while maintaining consistency with their preferred storage vendors.
Oracle and Amazon Web Services (AWS) plan to expand their multicloud networking capabilities to provide enterprise-grade, high-performance connectivity between Oracle Cloud Infrastructure (OCI) and AWS. With this effort, multicloud customers will have access to a fast, private, managed connection to run applications and move data seamlessly between OCI and AWS. The collaboration between OCI and AWS will also enable organizations to leverage the strengths of multiple cloud providers without the complexities of managing multiple network providers and installing physical network infrastructure.
Mirantis announced the company is enabling enterprises and neocloud providers to deploy production-ready AI platforms in minutes, not weeks, which is achieved by automated deployment and lifecycle management of NVIDIA Run:ai through the Mirantis k0rdent AI platform. The solution automates the layered assembly process, from bare metal through AI workload orchestration, including automated deployment of NVIDIA Run:ai, the AI workload and GPU scheduling layer in the NVIDIA AI Factory reference architecture.
Teradata announced the availability of its enterprise-grade Analyst Agent on Microsoft Marketplace, bringing AI-assisted, conversational analytics directly into customers’ existing Azure environments. As a result, Teradata customers can now discover and deploy trusted solutions through Microsoft Marketplace, with smooth integration and streamlined management across Microsoft Azure and other Microsoft products. Key benefits of the Teradata Analyst Agent on Microsoft Marketplace include seamless integration, transparent and governable AI, an interactive and insight-driven experience, 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:
Best Practices for Deploying and Scaling Industrial AIArtificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.Link to The Center for Adaptive Edge Intelligence
The Center for Adaptive Edge IntelligenceAdaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.Link to The Value of Vehicle Electrification
The Value of Vehicle ElectrificationElectric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT
Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoTDigital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.Link to Smart Manufacturing for Automotive
Smart Manufacturing for AutomotiveLeading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.Link to Center for Data Pipeline Automation
Center for Data Pipeline AutomationAs businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.Link to Center for Automated Integration
Center for Automated IntegrationThe goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.Link to Continuous Intelligence: Insights
Continuous Intelligence: InsightsDigital transformation requires continuous intelligence (CI). Today's digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
