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In this week\u2019s real-time analytics news: NVIDIA and Intel Corporation announced a collaboration to jointly develop custom data center and PC products to accelerate applications and workloads.<\/p>\n
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,\u00a0sign up here<\/a>!<\/p>\n NVIDIA<\/a> and Intel Corporation<\/a> announced a collaboration to jointly develop multiple generations of custom data center and PC products that accelerate applications and workloads across hyperscale, enterprise, and consumer markets.<\/p>\n The companies will focus on seamlessly connecting NVIDIA and Intel architectures using NVIDIA NVLink, integrating the strengths of NVIDIA\u2019s AI and accelerated computing with Intel\u2019s leading CPU technologies and x86 ecosystem to deliver cutting-edge solutions for customers.<\/p>\n For data centers, Intel will build NVIDIA-custom x86 CPUs that NVIDIA will integrate into its AI infrastructure platforms and offer to the market. For personal computing, Intel will build and offer to the market x86 system-on-chips (SOCs) that integrate NVIDIA RTX GPU chiplets. These new x86 RTX SOCs will power a wide range of PCs that demand integration of world-class CPUs and GPUs.<\/p>\n Real-time analytics news in brief<\/p>\n The\u00a0EY organization<\/a>\u00a0announced an alliance between\u00a0Boomi<\/a>\u00a0and Ernst & Young LLP (EY US<\/a>) to help clients enhance their efficiency, agility, and data integrity through integrated and innovative services and solutions. The Alliance leverages Boomi\u2019s advanced artificial intelligence (AI) capabilities and the Boomi Enterprise Platform and automates and streamlines critical processes, helping clients achieve faster business outcomes. The Alliance also offers clients the opportunity to smoothly connect systems, manage data flows, and orchestrate AI through a single solution, thus helping to enhance the efficiency of their operations.<\/p>\n DataOps.live<\/a> announced the launch of Momentum, the latest version of its DataOps Automation Platform. Momentum directly addresses the AI-readiness data gap by offering four DataOps automation capabilities, including streamlining data product delivery, automating CI\/CD, providing continuous observability, and enforcing governance.<\/p>\n Denodo<\/a> announced further support for AI innovation with the availability of DeepQuery in Denodo Platform 9.3. Denodo Platform 9.3 adds several new features that strengthen its foundation for operational AI. Key enhancements include greater agility for materialized views, dynamic access controls, auto-generation of business context, and write-back to iceberg tables through Databricks Unity.<\/p>\n Druva<\/a> announced Dru MetaGraph, a secure, tenant-specific, graph-powered foundation for real-time data intelligence, and two new DruAI Agents: Insights Agent and Lifecycle Agent. Together, these innovations can help customers uncover insights near-instantly, simplify decision-making, and act more quickly across cyber, compliance, and operational workflows.<\/p>\n LogicMonitor<\/a> announced enhancements to its LM Envision platform. These include continued innovation in AI agents with Edwin AI, the general availability of LM Uptime and Dynamic Service Insights, upcoming support for Oracle Cloud Infrastructure (OCI), and a new platform pricing model designed to simplify adoption and scale with customers as their needs grow.<\/p>\n MongoDB<\/a>\u00a0announced the integration of search and vector search capabilities with MongoDB Community Edition and MongoDB Enterprise Server. Previously exclusive to the fully managed MongoDB Atlas cloud platform, developers and organizations of all sizes can now access the preview of robust full-text search and vector search capabilities on MongoDB\u2019s local, on-premises, and self-managed offerings.<\/p>\n PolyAI<\/a>\u00a0announced the launch of three new agentic AI roles: QA Agents, Analyst Agents, and Builder Agents. By taking on specialized functions,\u00a0PolyAI\u2019s agentic AI team\u00a0works for CX leaders in ways that mirror the structure of a fully human team. The new roles also address a critical gap in today\u2019s contact centers: the lack of scalable, consistent data on agent performance in customer interactions.\u00a0<\/p>\n Qlik<\/a> announced the general availability of\u00a0Qlik Open Lakehouse, a fully managed Apache Iceberg service in Qlik Talend Cloud that delivers real-time pipelines, automated Iceberg optimization, and true multi-engine access without lock-in. The solution is an AI-ready data foundation that cuts time and cost between data and action.<\/p>\n ScaleOut Software<\/a>\u00a0introduced Version 6 of its ScaleOut Product Suite. This release introduces new capabilities not found in today\u2019s distributed caching software products. At its core is ScaleOut Active Caching, a new technology that boosts performance by running application code directly within the distributed cache. It enables faster, more scalable applications across on-premises and cloud environments.<\/p>\n Tigera<\/a>,\u00a0the creator of Project Calico, announced a new solution to secure AI workloads running in Kubernetes clusters. Specifically, Calico is purpose-built to protect mission-critical AI workloads at every stage. The platform provides a comprehensive set of features enabling organizations to scale their AI initiatives with confidence.<\/p>\n Partnerships, collaborations, and more<\/p>\n Digital Twin Consortium<\/a> (DTC) announced that\u00a0Advanced Micro Devices<\/a>\u00a0(AMD) has joined as a member. AMD will bring its AI processing capabilities and edge computing solutions to accelerate AI-powered digital twin systems development and deployment across industries. The addition of AMD is pivotal as the digital twin market rapidly evolves toward intelligent, autonomous systems powered by artificial intelligence.<\/p>\n Dynatrace<\/a>\u00a0announced its participation in the launch of the , a curated directory designed to help developers quickly discover and integrate AI-ready services. By joining the GitHub MCP Registry, Dynatrace reinforces its support for open, modern cloud ecosystems and deepens its strategic partnership with GitHub to accelerate innovation through real-time observability and intelligent automation.<\/p>\n KX<\/a> merged with OneMarketData (owner of OneTick<\/a>). The merger will deliver a scalable, real-time market data foundation that lets firms capture and analyze massive volumes of tick data instantly without separate systems. The combination of the two companies will unify the full capital markets trade research and operations lifecycle.<\/p>\n Qumulo<\/a>\u00a0announced a strategic partnership with\u00a0Cisco<\/a>\u00a0to deliver a unified data platform spanning edge, core, and cloud for enterprise organizations with a focus on enabling enterprise-wide observability. The partnership combines Qumulo\u2019s Data Platform with Cisco Unified Computing Systems (UCS) to help enterprises consolidate decades of stranded file and object data and unlock its value for AI, analytics, and observability.<\/p>\n Reltio<\/a> announced its support of Google\u2019s<\/a> Agent2Agent (A2A) protocol. Adopting A2A further enhances its recently launched\u00a0Reltio AgentFlow,a fully managed, enterprise-grade solution that provides secure, real-time connectivity between trusted enterprise data and AI agents. Reltio AgentFlow supports MCP and A2A protocols, which are complementary to each other.<\/p>\n Tessell<\/a> announced the launch of\u00a0Data EcosystemPipelines for Lakes and Warehouses.\u00a0The new capability unifies operational and analytical data in near real-time, stored in OneLake using open table formats like Apache Iceberg. Leveraging\u00a0open mirroring in Microsoft<\/a> Fabric,\u00a0Tessell enables customers to stream changes from Tessell-managed Oracle databases directly into Microsoft OneLake.<\/p>\n