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<\/p>\n In this week\u2019s real-time analytics news: Google Cloud announced new AI-native capabilities to help data scientists and developers build intelligent, autonomous agents.<\/p>\n <\/strong><\/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<\/strong><\/a>!<\/p>\n Google Cloud<\/strong><\/a> announced a wave of new AI-native capabilities designed to help data scientists and developers build intelligent, autonomous agents.\u00a0The new tools transform the role of a data scientist from an analyst into an \u201cagentic architect\u201d by unifying the development environment and making it easier for AI to understand and act on real-world data. Tools in the new offering include:<\/p>\n OpenAI<\/strong><\/a>\u00a0and\u00a0NVIDIA<\/strong><\/a>\u00a0announced a letter of intent for a strategic partnership to deploy at least 10 gigawatts of NVIDIA systems for OpenAI\u2019s next-generation AI infrastructure to train and run its next generation of models on the path to deploying superintelligence. To support this deployment, including data center and power capacity, NVIDIA intends to invest up to $100 billion in OpenAI as the new NVIDIA systems are deployed. The first phase is targeted to come online in the second half of 2026 using the NVIDIA Vera Rubin platform.<\/p>\n Real-time analytics news in brief<\/p>\n Snowflake<\/strong><\/a>, in partnership with industry partners and ecosystem vendors, including Salesforce<\/strong>, BlackRock<\/strong>, dbt Labs<\/strong>, and RelationalAI<\/strong>, announced a commitment to lead the Open Semantic Interchange (OSI), a new open-source initiative. The initiative addresses the issue of fragmented data semantics across tools and platforms by introducing a common, vendor-neutral semantic model specification that standardizes how semantic metadata is defined and shared.<\/p>\n Airbyte<\/strong><\/a> announced Airbyte Enterprise Flex, providing customers with data sovereignty and full control over their data with no compromise, enabling accurate and secure data for AI and analytics. The solution enables deployment, within days, in an on-premises data center, cloud, multi-cloud, or hybrid cloud. Flex breaks down data silos while preserving the integrity of sensitive data and compliance with regulations, all while offering a lower total-cost-of-ownership (TCO) with less operational overhead.<\/p>\n Algolia<\/strong><\/a> unveiled Algolia Agent Studio. The solution places its retrieval engine (comprising fast hybrid, vector search, and keyword search, enriched with rules and personalization) at the center of the agent\u2019s workflow. This gives teams retrieval they can trust, clarity to observe and debug, and an elegant path from prototype to production.<\/p>\n CData Software<\/strong><\/a>\u00a0announced Connect AI, a managed Model Context Protocol (MCP) platform that integrates AI assistants, agent orchestration platforms, AI workflow automation, and embedded AI applications with more than 300 enterprise data sources. With governed, in-place access to enterprise data, Connect AI preserves data semantics and relationships, giving AI a complete understanding of the context.<\/p>\n EnterpriseDB<\/strong><\/a>\u00a0(EDB) announced key contributions to PostgreSQL 18. The new release includes more than 200 new features that make it easier for organizations to run secure, high-performance, and portable applications across hybrid environments. EDB\u2019s contributions to PostgreSQL include open standards and security, optimizer performance enhancements, dynamic extension loading, and support for new index types.<\/p>\n FICO<\/strong><\/a> announced a new domain-specific\u00a0FICO Foundation Model for Financial Services (FICO\u00a0FFM)\u00a0product offering, consisting of\u00a0FICO Focused Language Model for Financial Services (FICO\u00a0FLM)\u00a0and\u00a0FICO Focused Sequence Model for Financial Services(FICO\u00a0FSM), purpose-built to reduce hallucinations and achieve precise accuracy over conventional Generative AI (GenAI) models.\u00a0<\/p>\n Lenovo<\/strong><\/a> announced new IT solutions tailored to help small and medium businesses easily deploy, scale, and leverage modern IT in the era of AI. Featuring guided setup and built-in security, the solutions help businesses quickly modernize outdated infrastructure to prepare for today\u2019s AI-powered workplace while delivering insights to anywhere that business happens.\u00a0\u00a0<\/p>\n MachineQ<\/strong><\/a>, a Comcast Company, announced the launch of a new AI-driven \u201csmart summary\u201d feature for MQinsights, the company\u2019s software application for visualizing and managing Internet of Things (IoT) solutions. The feature leverages AI to translate millions of IoT data points into clear, actionable insights for operations and procurement teams, compressing days of analysis and synthesis work down to a matter of seconds.<\/p>\n MathCo<\/strong><\/a> announced the launch of its Systemic AI Programmatic Suite of Solutions, designed to help enterprises move beyond siloed AI pilots and activate enterprise-wide intelligence for tangible business impact. This approach is powered by NucliOS Studio, MathCo\u2019s enterprise-grade, context-aware decision intelligence platform.<\/p>\n Pegasystems<\/strong><\/a> announced the general availability of\u00a0Pega Infinity \u201925, an agentic enterprise transformation platform that delivers trustworthy, predictable AI agents at scale. The solution builds on Pega\u2019s architecture to provide the right type of AI at the right time. This smarter, more strategic approach enables enterprises to unleash the power of agents without sacrificing reliability.<\/p>\n Precisely<\/strong><\/a>\u00a0announced new enhancements to the Precisely Data Integrity Suite, designed to further streamline and advance data quality across the enterprise. The latest release introduces AI-driven features that enable organizations to operationalize high-quality, AI-ready data even more quickly and intelligently.<\/p>\n Proofpoint<\/strong><\/a>\u00a0announced four major innovations\u00a0designed to secure the agentic workspace, where people and AI agents collaborate side by side. Proofpoint\u2019s new collaboration and data security capabilities address the foundational risks of the agentic workspace by solving four critical challenges: protecting AI assistants from targeted attacks; ensuring the right controls to stop data loss by people and agents; governing the actions of GenAI and AI Agents; and using AI agents themselves to automate collaboration and data security for security professionals.\u00a0<\/p>\n RapidFire AI<\/strong><\/a> announced the open\u2011source release of its \u201crapid experimentation\u201d engine designed to dramatically speed up and simplify the customization of large language models (LLMs) through fine-tuning and post-training. Released under the Apache 2.0 license, RapidFire AI lets users launch and compare many fine-tuning\/post-training configs at once on a single GPU or across multiple GPUs spanning data, model\/adapter choices, trainer hyperparameters, and reward functions.<\/p>\n SnapLogic<\/strong><\/a>\u00a0announced expanded support for the Model Context Protocol (MCP). MCP support in SnapLogic allows pipelines and APIs managed through SnapLogic APIM 3.0 to function as MCP servers, ready to be discovered and consumed by AI agents. Enterprises can now deploy and manage these MCP servers directly within SnapLogic, apply authentication controls, and gain visibility into activity through built-in observability.<\/p>\n Teradata<\/strong><\/a>\u00a0announced the launch of AgentBuilder, a suite of capabilities designed to accelerate the development and deployment of autonomous, contextually intelligent AI agents. Leveraging open-source frameworks and powered by the Teradata AI and knowledge platform, AgentBuilder gives teams the ability to quickly design, operationalize, and manage multi-agent systems. The solution will be available in private preview later this year.<\/p>\n Verdent AI<\/strong><\/a>\u00a0announced Verdent, an agentic coding suite that plans, self-verifies, and iterates complex, feature-level tasks, and Verdent Deck, a desktop platform that manages multiple Verdent agents in parallel. Together, they form an end-to-end, multi-agent development system that delivers production-ready code in minutes while giving human developers oversight, control, and time to focus on higher-level goals.<\/p>\n Partnerships, collaborations, and more<\/p>\n Cloudera<\/strong><\/a>\u00a0announced the integration of Dell<\/strong><\/a> ObjectScale with Cloudera, advancing their joint AI-in-a-Box offering and creating a Private AI platform designed for scale, governance, and economic clarity. This collaboration provides joint customers with a fully validated and integrated data platform, allowing them to run all of Cloudera\u2019s compute engines directly against Dell Technologies ObjectScale storage.<\/p>\n Databricks<\/strong><\/a>\u00a0and\u00a0OpenAI<\/strong><\/a> announced a multi-year partnership to make OpenAI models natively available within the Databricks Data Intelligence Platform and Databricks\u2019 flagship AI product Agent Bricks. OpenAI models will be available to all 20,000+ Databricks customers across clouds.<\/p>\n announced the launch of its new\u00a0Sumo Logic Dojo AI, powered by Amazon Web Services (). Dojo AI was built leveraging Amazon Bedrock and the new Amazon Nova family of models to help address the growing volume and complexity of cyber threats. Its specialized agents help automate routine tasks, giving security teams the freedom to focus on analyzing the highest value security issues.<\/p>\n SUSE<\/strong><\/a> furthered its partnership with NVIDIA<\/strong><\/a> by making NVIDIA CUDA Toolkit available on SUSE platforms, to help orgs streamline their GPU workflows as they look to accelerate their work in AI, high-performance computing (HPC), and beyond. Key features include simplified Installation, continuous updates, and the NVIDIA CUDA Toolkit itself remains completely free to SUSE users.<\/p>\n Zayo<\/strong><\/a> and Equinix<\/strong><\/a> unveiled an AI Infrastructure Blueprint, a joint infrastructure architecture framework that defines how next-generation infrastructure powers AI workloads. Equinix serves as the neutral interconnection hub for connecting networks, training, and inference infrastructure. Zayo offers high-capacity fiber and network services, linking hubs, data sources, and workloads.\u00a0<\/p>\n\n