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!
Red Hat announced the Red Hat AI Factory with NVIDIA, a co-engineered software platform that combines Red Hat AI Enterprise and NVIDIA AI Enterprise to provide an end-to-end AI solution optimized for organizations deploying AI at scale. The solution empowers IT operations teams to streamline management of both traditional infrastructure and the evolving demands of the AI stack.
The solution accelerates the path to production AI and delivers the software platform for AI factories, running on accelerated computing infrastructure that fuels higher performance for the models and NVIDIA GPUs driving the inference stack. The platform is supported on AI factory infrastructure from leading systems manufacturers, including Cisco, Dell Technologies, Lenovo, and Supermicro. That allows IT administrators and operations teams to scale and maintain AI deployments with the same operational rigor and predictability as any enterprise workload.
In other company news, Red Hat announced Red Hat AI Enterprise, an integrated AI platform for deploying and managing AI models, agents, and applications across the hybrid cloud. It joins the Red Hat AI portfolio, which includes Red Hat AI Inference Server, Red Hat OpenShift AI, and Red Hat Enterprise Linux AI. Additionally, Red Hat introduced Red Hat AI 3.3, bringing significant updates and enhancements across the company’s entire AI portfolio.
Real-time analytics news in brief
Ataccama announced Agentic Data Observability in Ataccama ONE, its end–to-end agentic data trust platform for regulated enterprises. The release extends Ataccama’s data quality into pipelines and incident workflows, giving teams a direct path from detection to triage and remediation by unifying observability with automated data quality and governed business context. This closes the gaps left by standalone data observability and helps ensure the integrity of data powering AI agents and critical business decisions.
Backblaze announced B2 Neo, a purpose-built offering for neocloud platforms. B2 Neo provides these platforms with the enterprise-grade cloud object storage enterprises require for data-heavy AI and machine learning workloads. As such, B2 Neo gives neoclouds a storage layer they can integrate into their existing platforms and seamlessly offer to customers.
Chainguard announced it has expanded Chainguard Libraries coverage across Python, Java, and JavaScript. Given that Chainguard Libraries are rebuilt from publicly verifiable source code in the SLSA L2-compliant Chainguard Factory, this widespread coverage is a major step forward in preventing malware in the open-source libraries that underpin most software. This allows engineering teams to maintain their development velocity without compromising security.
CIQ, the founding support and services partner of Rocky Linux, launched Rocky Linux from CIQ Pro (RLC Pro), a commercially supported Enterprise Linux subscription. With Enterprise Linux binary compatibility, RLC Pro bundles long-term support and lifecycle management, FIPS 140-3 validation, indemnification, security and support SLAs, and customer-driven, direct bug fixes as necessary features, creating a clear path from community-based to mission-critical enterprise production.
Confluent announced new Confluent Intelligence capabilities that connect AI agents and uncover more accurate, intelligent data analysis. Confluent’s Streaming Agents use the Agent2Agent (A2A) protocol to trigger and coordinate external AI agents using real-time data streams. Multivariate Anomaly Detection looks at multiple metrics to automatically spot unusual patterns in data streams, helping teams prevent issues with greater accuracy. Together, these capabilities create intelligent context-aware AI systems that adapt as data, agents, and business conditions change.
Databricks announced the General Availability of Lakeflow Zerobus Ingest, part of Lakeflow Connect. The solution provides a fully managed, serverless service that streams data directly into Delta tables, eliminating the need for intermediate message buses like Kafka. Additionally, the solution replaces traditional multi-hop streaming architectures with a single-sink design optimized specifically for pushing data to the lakehouse. This GA launch includes production-ready gRPC API and REST APIs (Beta), plus SDKs for Python, Java, Rust, Go, and TypeScript, enabling integration from any application.
Datadobi launched an Early Access Program for Data Access Review, a new capability coming to its StorageMAP platform. Developed in direct response to customer demand for deeper visibility and control over data permissions, Data Access Review will extend StorageMAP’s value by adding actionable permissions intelligence to unstructured data management. During the Early Access program, selected customers have the opportunity to test and help shape new permissions intelligence features.
Digi International announced the launch of its new Model Context Protocol (MCP) server for Digi Remote Manager (DRM) and Genesis. This new capability enables customers to securely integrate large language model products such as Claude and other enterprise AI assistants directly with DRM and Genesis, transforming how organizations monitor, manage, and optimize their connected infrastructure and wireless WAN deployments at scale.
Domino Data Lab announced a major new platform update, creating a fully governed end-to-end platform for operationalizing agentic AI systems. This latest Winter Release equips organizations with a new agentic development lifecycle (ADLC) experience and underlying LLM hosting capabilities. These together allow enterprises to build, evaluate, deploy, and monitor agentic AI systems quickly and at scale with built-in governance, reproducibility, and control.
Druva announced an expansion of DruAI, introducing Deep Analysis Agents capable of automating complex, multi-day forensic and compliance investigations. The AI agents conduct extended investigations across telemetry, logs, identity data, configurations, and historical signals. They break complex tasks into steps, coordinate across systems, and analyze findings over time to produce clear, actionable insights and reports.
New Relic announced a series of platform innovations that connect technical performance to customer impact and business outcomes. Led by Intelligent Workloads that automate the discovery of complex dependencies and align system health with business KPIs, New Relic monitors what matters to its customers in the AI era, empowering them to resolve incidents faster and quantify the direct impact of performance on revenue.
Precisely announced new Data Quality, Data Enrichment, and Location Intelligence agents for the Precisely Data Integrity Suite. The new agents accelerate data normalization, standardization, rule creation, and enrichment through conversational interaction. Working in coordination with the Data Integrity Suite’s Gio AI Assistant, the new AI agents automate and streamline complex, labor-intensive data workflows, helping organizations build trusted, context-rich data foundations for AI, analytics, and automation initiatives.
Sinch announced a new set of capabilities designed to operationalize AI agents across global communication channels, enabling enterprises to deploy intelligent agents across messaging, voice, and email on a global scale. With agentic conversations, Sinch provides a flexible, secure, and open platform that enables businesses to operationalize AI agents at their own pace and according to their technical maturity. Customers are not locked into a single agent model, proprietary data layer, or closed ecosystem.
Siteimprove announced the availability of its latest AI agent capabilities. The major AI updates include conversational analytics, enabling non-technical users to get answers, generate reports, and dashboards using natural language. These capabilities put organizations in a strong position to meet digital accessibility regulations such as the Americans with Disabilities Act (ADA) and the European Accessibility Act (EAA) whilehelping brands improve discoverability across answer engines and generative engines.
Snowflake announced that Cortex Code CLI, Snowflake’s AI coding agent for local development environments, is expanding beyond Snowflake-native workflows towards supporting any data source across systems, starting with dbt and Apache Airflow (now generally available). With this extended support, developers unlock secure, context-aware AI assistance within their preferred data engineering systems, empowering teams to work with data wherever it lives and build, manage, and optimize production-grade workflows more efficiently.
The Technology Innovation Institute (TII), the applied research pillar of Abu Dhabi’s Advanced Technology Research Council (ATRC), announced the launch of a cloud service providing access to Quantum Processing Units (QPUs) developed by TII’s Quantum Computing Hardware Lab. Initially available to TII partners, the service enables users to run quantum workloads directly on TII’s physical quantum hardware in the cloud.
Tray.ai announced Tray Data Engineering, a new solution that combines data transformation, AI, and agent development. The foundation of Data Engineering is the new Tray SQL Transformer. Teams can execute sophisticated data preparation tasks directly within their Tray workflows, reshaping, joining, and transforming data in flight using a built-in, high-performance database and direct SQL-based transformations. Additionally, teams can manage the entire data-to-intelligence pipeline in one system.
VAST Data announced Polaris, a global control plane designed to provision, operate, and orchestrate distributed AI infrastructure across public cloud, neocloud, and on-premises datacenter environments. Polaris transforms VAST deployments into a unified, fleet-scale platform, enabling enterprises to manage AI data and infrastructure wherever training and inference workloads run.
See also: What Are Neoclouds and Why Does AI Need Them?
Partnerships, collaborations, and more
IBM and Deepgram announced a collaboration to integrate Deepgram’s speech-to-text and text-to-speech capabilities into IBM’s watsonx Orchestrate generative AI solution. The collaboration offers voice AI technology that helps enterprises automate their operations and meet the growing demand for conversational AI technology, including advanced speech-to-text voice recognition, so users can interact with digital agents using natural speech.
Scality and WEKA announced a new jointly validated solution that combines WEKA’s NeuralMesh high-performance storage with Scality RING’s cost-efficient object tier. The solution offers enterprises the best of both worlds: flash-speed performance for active AI and high-performance computing (HPC) data, combined with scalable, durable capacity for large datasets, while reducing cost and complexity without compromising speed.
VAST Data announced an end-to-end, fully CUDA-accelerated AI data stack, delivered through an expanded collaboration with NVIDIA. With the VAST AI Operating System now running directly on NVIDIA-powered servers, customers can eliminate data bottlenecks across the AI pipeline and deliver ingestion, retrieval, analytics, and inference in a single unified platform.
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:
