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!
Snowflake announced significant updates across Snowflake Intelligence and Cortex Code. Snowflake Intelligence now serves as a personal work agent for business users that adapts over time by learning individual preferences and workflows to deliver more relevant results and automate tasks. In addition, Cortex Code is expanding as a builder layer for enterprise AI, bringing governed, data-native development across the enterprise data ecosystem so builders can create, orchestrate, and operationalize AI directly within the tools and systems they already use.
Real-time analytics news in brief
Anyscale announced the general availability of Agent Skills, a new capability that gives AI coding agents the platform-level knowledge needed to run production systems, not just generate code. Specifically, the solution offers system-level awareness of infrastructure, not just code generation. To that end, Agent Skills supports production-aware code generation, live debugging + fix loop, end-to-end infrastructure setup, optimization (in preview), and more.
Bedrock Data announced that Bedrock Data ArgusAI now governs AI agents built on Google Vertex AI Search and Dialogflow. Conventional DSPM tools were built to locate sensitive data across enterprise environments, an approach designed before enterprises began deploying AI agents at scale. With this new integration, ArgusAI maps the data connected to each Vertex AI Search and Dialogflow application, classifying it by sensitive data type and domain and enabling teams to write and enforce enterprise data access policies for AI systems.
Datadog announced that GPU Monitoring is available to customers everywhere. The new solution provides a unified visibility across the AI stack giving users a single view linking GPU fleet health, cost, and performance. It links fleet telemetry directly to the workloads consuming resources and gives platform engineering and machine learning teams a shared view to investigate together, enabling them to scale AI without overspending, maximizing ROI on GPU spend, and more.
FarEye launched PILOT, an agentic AI dispatcher designed to autonomously manage end-to-end logistics dispatch workflows with human-in-the-loop governance. Built for enterprise logistics operations, PILOT coordinates 11 specialized AI agents across planning, execution, and control. The solution is built as an MCP-first, bolt-on solution that integrates with existing TMS, OMS, and WMS stacks without requiring enterprises to rip and replace current systems.
MythWorx launched NeuroWorx, a high-assurance AI reasoning engine designed to eliminate the guesswork produced by conventional large-language models (LLMs). The solution is a verifier-first reasoning system. The software tests possibilities, evaluates constraints, and eliminates invalid pathways, producing conclusions supported by a traceable chain of logic. NeuroWorx runs on CPUs, rather than GPUs or dense neural stacks. It can also run on small-form compute systems, from microservers and gateways to ruggedized edge units, unlocking deployment scenarios at the edge.
pgEdge announced the AI DBA Workbench for Postgres, an AI-powered monitoring and management tool that gives PostgreSQL teams an always-available co-pilot for database administration. The solution continuously collects PostgreSQL performance data, monitoring query performance, vacuum activity, connection health, WAL throughput, replication lag, and more. A three-tier anomaly detection system layers statistical baselines, pattern matching through vector similarity, and AI-powered classification to catch problems before they escalate into outages.
Protegrity announced its AI Team Edition, a new paradigm for zero model exposure with secure inferencing that rebalances cybersecurity, especially against Mythos and other leading foundation models, and their ability to upend existing perimeter-based security methods. The solution embeds protection directly into companies’ AI architecture. The technology that makes that possible is Protegrity’s semantic-preserving encryption, which protects the meaning and relationships that power AI systems across knowledge graphs and AI workflows.
Tiger Data announced TimescaleDB Enterprise, a commercially licensed, self-managed time-series database built on PostgreSQL. The solution combines the open-source TimescaleDB engine with a commercial operations layer that offers high-availability clustering with automatic failover, fully incremental backups with point-in-time recovery, a web-based admin console for provisioning and managing clusters, pre-configured Grafana dashboards for monitoring, and optional Cloud Sync for continuous replication to Tiger Cloud when connectivity is available.
Partnerships, collaborations, and more
Alteryx announced the launch of the Alteryx AI Insights Agent, which is now available on Google Cloud Marketplace. The solution brings governed analytics directly into Gemini Enterprise. Specifically, the Alteryx AI Insights Agent allows information workers to define governed datasets and business logic within Alteryx One that are executed in response to user queries in Gemini Enterprise. Instead of generating answers from raw or unstructured data, the agent leverages in-place analytics to run predefined workflows directly on data platforms such as BigQuery, ensuring outputs align with business metrics without the need for data movement or manual effort.
Chainguard announced a partnership with Cursor to secure the next generation of agentic software development. Through this collaboration, Chainguard provides a trust layer for open-source artifacts for Cursor, ensuring images and libraries are malware-resistant and secure by default. Joint customers can now safely scale AI-driven development without the risk of open-source artifacts exposing them to unneeded risk in production environments.
ClickHouse announced a significant expansion of its strategic collaboration with Google Cloud. The announcement encompasses four major milestones: native integration with Google Cloud Lakehouse, the availability of ClickHouse’s Bring Your Own Cloud (BYOC), the migration of ClickHouse Cloud on Google Cloud to Google’s custom Arm-based Axion processors, and a new integration between the ClickHouse MCP server and Google Antigravity.
Intel and Outsight announced a strategic collaboration to accelerate the deployment of physical AI solutions for real-time people and objects flow monitoring at enterprise scale. As part of this collaboration, Outsight’s Shift platform has been integrated into the latest version of Google Distributed Cloud (GDC) Edge, combining Intel Xeon 6 SoC with AMX (Advanced Matrix Extensions) for accelerated CPU-based inferencing and Outsight’s advanced 3D real-time processing platform to deliver turnkey physical AI capabilities directly at the edge of enterprise networks.
NetApp announced new innovations with Google Cloud that simplify how enterprises bring their data to AI, including the general availability of a unified storage approach for file and block workloads through Google Cloud NetApp Volumes. Additionally, NetApp announced it is deepening its partnership with Google Cloud by adopting Gemini Enterprise internally to power AI-driven operations across sales and product development.
NVIDIA and Google Cloud advancements to expand Google Cloud AI Hypercomputer for AI factories that will power the next frontier of agentic and physical AI. These include the new NVIDIA Vera Rubin-powered A5X bare-metal instances; a preview of Google Gemini on Google Distributed Cloud running on NVIDIA Blackwell and NVIDIA Blackwell Ultra GPUs; confidential VMs with NVIDIA Blackwell GPUs; and agentic AI on Gemini Enterprise Agent Platform with NVIDIA Nemotron open models and the NVIDIA NeMo framework.
Oracle expanded its partnership with Google Cloud to give joint customers new ways to operationalize AI across enterprise data. Under the expanded partnership, the Oracle AI Database Agent for Gemini Enterprise gives Oracle AI Database@Google Cloud customers a simpler way to interact with their Oracle data using natural language. In addition, Oracle AI Database@Google Cloud now offers new capabilities and broader regional availability as global organizations, such as Worldline, use it to drive innovation and accelerate cloud migrations.
Red Hat announced upcoming support for Red Hat OpenShift on Google Cloud Dedicated. Building on Red Hat’s and Google’s extensive collaboration, this offering will provide highly regulated organizations, including those in financial services, healthcare, and the public sector, with the isolated infrastructure and operational independence required to meet stringent national and regional digital sovereignty mandates.
SUSE announced SUSE AI Factory with NVIDIA. Built with SUSE AI and NVIDIA AI Enterprise, this unified software stack for enterprise AI is designed to seamlessly bridge the gap between local development and scalable enterprise production. Operating as a turnkey digital factory producing enterprise-grade AI capabilities, this solution empowers enterprises by giving them the tools to assemble, deploy, manage, and govern AI applications consistently and at scale across any footprint, from the tactical edge to the core datacenter to the public cloud.
Yugabyte announced a strategic collaboration agreement (SCA) with Amazon Web Services (AWS). Under the agreement, Yugabyte will accelerate database modernization and cloud migrations for PostgreSQL and legacy database workloads on AWS, drive field execution through motions supported by AWS APN Customer Engagements (ACE) pipeline engagement, and support customers building globally distributed, resilient transactional applications on AWS.
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.
