Real-time Analytics News for the Week Ending May 2 - RTInsights

Real-time Analytics News for the Week Ending May 2

Real-time Analytics News for the Week Ending May 2

In this week’s real-time analytics news: NVIDIA launched Nemotron 3 Nano Omni Model, unifying vision, audio, and language for AI agents.

May 3, 2026
7 minute read

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!

NVIDIA launched Nemotron 3 Nano Omni, an open multimodal model that brings models for vision, speech, and language together into one system. The solution enables agents to deliver faster, smarter responses with advanced reasoning across video, audio, image, and text. In agentic systems, Nemotron 3 Nano Omni can work alongside proprietary cloud models or other NVIDIA Nemotron open models, such as Nemotron 3 Super for high-frequency execution or Nemotron 3 Ultra for complex planning, as well as proprietary models from other providers to power sub-agents for agentic workflows such as computer use, document intelligence, and audio-video reasoning.

Real-time analytics news in brief

Actian announced Actian VectorAI DB, a portable vector database purpose-built to power production AI in regulated, disconnected, and edge environments where cloud-native solutions fall short. To that end, the solution handles real-world query volumes without depending on cloud resources to scale. The database delivers local, low-latency vector search across embedded systems, edge devices (including resource-constrained hardware such as NVIDIA Jetson and Raspberry Pi devices), on-premises environments, and cloud deployments. Developers build once and deploy using the same architecture and APIs, retaining data ownership with consistent, predictable performance across every environment.

Aerospike unveiled a new unified, AI-native application development experience that makes it simple for both humans and AI coding assistants to confidently prototype, integrate, deploy, and troubleshoot production applications built on Aerospike’s real-time NoSQL database. The solution offers a new Aerospike experience where developers and their agents can explore data visually, query a cluster conversationally, and generate production-ready code in as little as five minutes. Learned patterns and code carry directly from concept to production scale, with no second system to learn, and no architectural rework when load inevitably increases. 

amazee.ai announced the launch of amazeeClaw, a managed OpenClaw hosting platform that enables developers and enterprises to deploy production-ready AI agents with data sovereignty and regional control without having to set up their own infrastructure. The solution delivers a fully managed platform with dedicated container isolation, region selection, and enterprise-grade compliance (ISO 27001 and SOC 2 Type 2). Customers choose their preferred deployment region across the U.S., Europe, or Australia to keep data within defined geographic boundaries and meet compliance requirements.

Appian announced enhancements to the Appian Platform, including AI-assisted spec-driven development and Model Context Protocol (MCP) integration for agents. By anchoring AI within processes, Appian eliminates the primary hurdles to AI value: fragmented data and a lack of reliability and control. Appian is also advancing agent learning by providing users the ability to track agent performance and then apply an agent’s memory across processes to improve decision making.

In other company news, Appian launched a technology partnership with Snowflake, uniting Appian as the AI orchestration layer with Snowflake’s AI Data Cloud. The result allows for the combining of data aggregation, model training, and process orchestration to enable immediate business value. Direct MCP-enabled integration between Appian data fabric and Snowflake equips agents with deep enterprise context and allows them to interact directly with Snowflake Cortex AI to drive intelligent, data-backed decisions.

Atos Group announced the global launch of its integrated Digital Sovereignty offering, designed to help organizations retain control, authority, and accountability over their data, infrastructure, applications, and digital operations, while continuously managing critical dependencies, jurisdictional exposure, and disruption risks. The solution combines end-to-end sovereign expertise with full-stack capabilities, from advisory and design to deployment and operations across the entire stack, cloud, infrastructure, cybersecurity, data platforms, AI, applications, and digital workplace.

Cequence Security announced the general availability of Agent Personas in Cequence AI Gateway. Agent Personas give enterprises granular, infrastructure-level control over what AI agents are permitted to do, closing the privilege gap that identity alone cannot address. The release also introduces Agent Access Keys, a new composite credential type purpose-built for headless agents running in automated workflows. Each key binds agent identity, user identity, and persona-level privileges into a single attributable credential, giving security teams the forensic clarity to answer exactly who did what, when, and under which permissions. 

CoreWeave announced an expansion of its SUNK platform, adding new self-service capabilities alongside SUNK Anywhere to extend its unified training system across multi-cloud and on-prem environments. With regard to the first announcement, SUNK self-service introduces guided, standardized cluster setup to accelerate deployment and reduce operational overhead. SUNK Anywhere enables teams to run workloads consistently across environments without changing workflows.

Deepgram announced the general availability (GA) of Flux Multilingual, expanding its conversational speech recognition model beyond English to support 10 languages, with the ability to automatically detect, understand, and switch languages dynamically within a single conversation in real time. Developers, enterprises, and product teams building voice agents now have access to a real-time conversational speech recognition model, delivering accurate turn-taking, interruption handling, low latency, and natural human-like conversations at global scale. 

DomainTools announced the general availability of its Model Context Protocol (MCP) server, a hosted, production-ready integration that connects AI agents and Large Language Models (LLMs) directly to DomainTools’ comprehensive domain intelligence datasets. Unlike open-source MCP reference implementations, the DomainTools MCP server is a hosted, fully managed service built to meet the security, reliability, and scale requirements of enterprise SOC environments.

Experian announced Experian Agent Trust, a framework that establishes a secure, verifiable link between consumers and AI agents, bringing identity and accountability to AI-driven transactions. The solution uses a new “Know Your Agent” (KYA) framework, extending identity verification into the age of AI. The framework ensures that agent-initiated transactions are grounded in verified consumer identity. To that end, Experian Agent Trust is being developed within an ecosystem of collaborative agentic commerce contributors, including Visa, Cloudflare, and Skyfire, who are leading the development of secure and scalable AI-driven commerce across payments, networks, and digital interactions.

IBM announced the global availability of IBM Bob, an AI-first development partner built for enterprise teams. Bob works across the full software development lifecycle (SDLC), from planning and coding to testing, deployment, and modernization, with the governance and security controls enterprises need. The solution is built on a structured framework that embeds Bob into every role across the development process, including persona-based modes, enforced standards, reusable playbooks, safe tool calling, and human-in-the-loop governance, so teams can move fast while staying in control. 

Kamiwaza AI (Kamiwaza) announced the general availability of Kamiwaza 1.0. Purpose-built for the security and governance requirements of highly regulated industries, Kamiwaza 1.0 connects enterprise data securely across distributed environments without moving or centralizing it, giving organizations the control and visibility they need to deploy AI with confidence. Specifically, the solution enables enterprise teams to collaborate with AI across sensitive data in a way that was not previously possible, with strict boundaries enforced at the platform level.

Komprise announced a new patent that addresses common issues with under-utilization of expensive resources such as GPU, memory, and network when processing large unstructured datasets. Typical load-balancing partitioning provides one-time static balancing at the beginning of the job and therefore can’t account for uneven work. Instead, the Komprise Elastic Shares technology continually and dynamically reallocates resources to ensure near-linear speed-up at scale.

Salesforce unveiled two key announcements that will help enterprises progress towards AI agents that can execute work independently, without a traditional UI or browser. It announced Agentforce Operations, which is anew solution designed to automate and streamline complex, manual back-office processes across various industries like manufacturing, financial services, banking, consumer lending, and more. The company also announced Slack Connected AI Work Platform, where every new user starts with a free Slack workspace that’s already connected to their CRM data.

Partnerships, collaborations, and more

LiveRamp announced native support for NVIDIA AI infrastructure. AI partners and brands can now securely and seamlessly train and deploy sophisticated models using LiveRamp clean rooms or via the LiveRamp Marketplace without exposing data or model weights. By implementing GPU-optimized infrastructure, LiveRamp eliminates the technical hurdle of AI partners needing to rearchitect models for CPU-based environments. Model providers and brands using Marketplace or Clean Rooms can stitch together disparate datasets. This ensures compute-intensive models are trained on the most complete and accurate foundation of insights.

Silverfort announced a partnership with Google Cloud to bring runtime identity security to AI agents through Google Cloud Agent Gateway, evaluating and controlling agent access as requests happen. As agents take on more autonomy and begin coordinating workflows across tools, services, and data sources, Silverfort’s Agent Gateway Integration also allows organizations to gain visibility into agent activity without requiring teams to deploy additional infrastructure or redesign how agents are deployed.

UiPath announced that it is a validated technology partner of Databricks, introducing tailored integrations designed to bring intelligence, automation, and AI together. The integrations connect the UiPath Platform with the Databricks platform, enabling enterprises to move from data insights to automated action within business processes. By combining trusted data, AI-driven reasoning, and automation, organizations can improve decision-making speed, increase operational efficiency, and scale AI adoption across the enterprise.

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:

Salvatore Salamone

Salvatore Salamone is a physicist by training who writes about science and information technology. During his career, he has been a senior or executive editor at many industry-leading publications including High Technology, Network World, Byte Magazine, Data Communications, LAN Times, InternetWeek, Bio-IT World, and Lightwave, The Journal of Fiber Optics. He also is the author of three business technology books.

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