In this week’s real-time analytics news: NVIDIA will integrate its CUDA-X data processing libraries with HP AI workstation solutions.
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NVIDIA and HP Inc. announced that NVIDIA CUDA-X data processing libraries will be integrated with HP AI workstation solutions to speed up the data preparation and processing work that forms the foundation of generative AI development. Built on the NVIDIA CUDA compute platform, CUDA-X libraries speed data processing for a broad range of data types, including tables, text, images, and video.
Real-time analytics news in brief
Appian announced the availability of the latest version of the Appian Platform. The release introduces the new generative AI prompt builder AI skill, which lets users easily leverage generative AI in a secure and private AI architecture that accelerates their business processes. The release also introduces Appian Case Management Studio, an AI-powered case management designer with out-of-the-box modules to quickly launch apps for complex casework.
Broadcom announced the availability of the WatchTower Platform, an open observability solution that improves business performance by streamlining the identification and resolution of high-priority incidents in the mainframe environment. WatchTower enhances visibility across IT silos by integrating and correlating events, data flows, signals, and key metrics. This enables operations teams to rationalize and coordinate workflows with far greater efficiency. It also enhances alerts with pertinent context, allowing teams to improve the signal-to-noise ratio so they can zero in on those alerts most critical to ensuring continuous business operations.
C3 AI announced that C3 Generative AI: Standard Edition, its no-code, self-service generative AI application, is now available on Google Cloud Marketplace, supporting Google’s newest and most advanced large language model (LLM), Gemini. With self-service, no-code onboarding flow that takes minutes to complete, C3 Generative AI: Standard Edition allows users to easily access insights from documents and unstructured files across their enterprise.
Cloudera announced the next phase of its open data lakehouse on private cloud. With its latest round of enhancements, Cloudera now offers an open data lakehouse with Apache Iceberg for public and now private clouds, helping customers to unlock the enterprise AI potential of all their data. The solution enables companies to apply AI to the vast amounts of mission-critical data that exists both in the cloud and on-premises, allowing them to create new use cases.
Copado launched Copado Explorer, a new tool designed to simplify and streamline testing for Salesforce development teams. Copado Explorer automates a significant part of the testing process while seamlessly integrating into the CI/CD pipeline to ensure that testing is a continuous and collaborative part of the software development process. Copado Explorer represents a significant leap forward in efficient and inclusive exploratory testing for a wide range of users, transforming how development teams approach testing in their Salesforce environments.
Dataloop AI announced the launch of its Marketplace. The Marketplace provides access to a range of popular LLM, GenAI, and multi-modality Foundation models, allowing teams to choose their use case and then adopt, fine-tune, and implement existing models or develop their own in minutes. This facilitates the automation of industry expertise and accelerates time-to-market. The platform orchestrates a comprehensive suite of tools on its data pipeline, including function-as-a-service (FaaS), annotation studios, and more, connecting humans and models seamlessly and empowering teams to build and refine their AI projects at scale.
Domino is introducing two new features to help enterprises promote more GenAI projects from pilots to production responsibly and cost-effectively. The new Domino AI Gateway can help teams access large language models securely and responsibly. It provides enterprise security to ensure that only approved users can see and use model endpoints from commercial providers. Domino also announced a new Domino Pinecone Vector Database connection. The data connector enables easy, secure access to vectorized content and helps keep a company’s knowledge repository up to date without significant effort.
Fosfor, a product division of LTIMindtree, announced the launch of the Fosfor Decision Cloud (FDC). The FDC is a connected fabric that helps companies organize data to build automated, modular, trustworthy data transformation pipelines, build and deploy impactful AI applications, and harness the power of AI to make better business decisions faster. The FDC is supported by a partner ecosystem anchored by Snowflake, Fivetran, Amazon Web Services, Microsoft Azure, the Google Cloud Platform, and GoldenSource. Snowflake and Fivetran are FDC launch partners.
Gupshup announced the launch of Conversation Cloud, a suite of SaaS tools for AI-powered business-to-customer interactions. Gupshup’s Conversation Cloud products include Gupshup Converse, which helps businesses build rich two-way conversational journeys across the customer lifecycle; Gupshup Advertise, which enables marketers to acquire, qualify, and convert customers by leveraging Click to WhatsApp and Click to Instagram Ads; and Gupshup Communicate, which is a step up from traditional CPaaS and has smart capabilities such as Gen-AI powered automatic message translation and more.
HPE announced the expansion of HPE GreenLake for File Storage capabilities with new high-density, all-flash options specifically designed to power large-scale enterprise AI and data lake workloads. Compared to the current shipping release of HPE GreenLake for File Storage, HPE’s new options provide four times the capacity and as much as two times the system performance per rack unit. These improvements allow HPE to scale throughput at AI scale by two times and reduce power consumption by as much as 50%.
NetApp announced new capabilities that maximize the potential of generative artificial intelligence (Gen AI) projects and build competitive advantage for users. Specifically, NetApp combines its intelligent data infrastructure with high-performance compute, networking, and software from NVIDIA. This gives customers complete access and control over their data throughout the data pipeline, allowing them to move seamlessly between their public cloud and on-premises environments.
Oracle announced the general availability of Oracle Globally Distributed Autonomous Database. Built on Oracle’s sharding technology, Globally Distributed Autonomous Database delivers the benefits of Oracle Autonomous Database while also giving customers control over data distribution and data placement policies. This enables organizations to automatically distribute and store data across the globe in many physical locations transparently to applications. With this approach, customers get scalability and availability while addressing their data sovereignty requirements.
RagaAI announced that it is significantly expanding its testing platform by launching RagaAI LLM Hub, its open source and enterprise-ready LLMs evaluation and guardrails platform. With over 100 metrics, it allows developers and organizations to evaluate and compare LLMs effectively and establish essential guardrails for LLMs and Retrieval Augmented Generation(RAG) applications. These tests assess various aspects, including Relevance & Understanding, Content Quality, Hallucination, Safety & Bias, Context Relevance, Guardrails, and Vulnerability scanning, along with a suite of Metric-Based Tests for quantitative analysis.
Salesforce announced the availability of Einstein 1 Studio, a set of low-code tools that enables Salesforce admins and developers to customize Einstein Copilot — the conversational AI assistant for CRM — and seamlessly embed AI across any app for every customer and employee experience. Einstein 1 Studio includes Copilot Builder for creating custom AI actions to accomplish specific business tasks, Prompt Builder for building and activating custom prompts in the flow of work, and Model Builder, where users can build or import a variety of AI models.
SAP SE announced new capabilities in its SAP Datasphere solution, including new generative AI features that allow a company to transform enterprise planning through simplified data landscapes and more intuitive data interaction. The SAP Datasphere innovations help customers achieve a unified data view that simplifies their data landscapes while retaining context and logic – enabling them to adapt faster to market changes and make more efficient decisions.
SingleStore announced that it has signed a Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to accelerate its go-to-market approach. Enterprises are increasingly harnessing large language models (LLMs) and foundational models (FMs) to build and secure generative artificial intelligence (AI) applications. With this collaboration with AWS, SingleStore is better equipped to provide the underlying architecture needed to support high scalability, real-time performance, security, ease of integration, and manage AI workload demand at scale.
Snowflake and Mistral AI announced a global partnership to bring Mistral AI’s most powerful language models directly to Snowflake customers in the Data Cloud. Through this multi-year partnership, Mistral AI and Snowflake will deliver the capabilities enterprises need to tap into the power of large language models (LLMs) while maintaining security, privacy, and governance over their most valuable asset — their data.
Veeam Software announced an extended, five-year strategic partnership with Microsoft to innovate new solutions for protecting customers by integrating Veeam’s product family and Microsoft Copilot and AI services. In addition to joint innovation, the companies will bring data protection to the market for Microsoft 365 and Microsoft Azure with the recently announced Veeam Data Cloud.
If your company has real-time analytics news, send your announcements to [email protected].
In case you missed it, here are our most recent previous weekly real-time analytics news roundups:
- Real-time Analytics News for the Week Ending March 2
- Real-time Analytics News for the Week Ending February 24
- Real-time Analytics News for the Week Ending February 17
- Real-time Analytics News for the Week Ending February 10
- Real-time Analytics News for the Week Ending February 3
- Real-time Analytics News for the Week Ending January 27
