Real-time analytics news for the week ending April 27.

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In this week's real-time analytics news: IBM announced it is acquiring HashiCorp, a company designed to address generative AI and infrastructure complexity in the hybrid/multi-cloud era.

Keeping pace with news and developments in the real-time analytics market can be a daunting task. We'd like to help by providing a summary of some of the most important real-time analytics and AI news items that our staff came across this week. Here is our list:

IBM What has been announced? Hashi Corporationmulti-cloud infrastructure automation company for $6.4 billion. HashiCorp is known for its Terraform product, an infrastructure automation tool, which is considered an industry standard for infrastructure provisioning in hybrid and multi-cloud environments. IBM's acquisition of HashiCorp strengthens IBM's position in the fast-growing AI and cloud computing market.

What the deal means: IBM's acquisition of HashiCorp strengthens the company's play in the hybrid cloud and DevOps market. HashiCorp's open source tools, particularly Terraform, bolster IBM's portfolio. The combined offering can help organizations manage the infrastructure lifecycle, which is becoming increasingly complex for enterprises as they deal with different policies, security, troubleshooting, migration, and feature updates in hybrid cloud settings. Along with running in hybrid cloud settings. .

Sales force announced the Salesforce Zero Copy Partner Network, a global ecosystem of technology and solution providers creating secure, two-way zero copy integration with Salesforce Data Cloud to process data on the Salesforce Einstein 1 platform.

Without zero copy, companies have to rely on custom integrations and complex data pipelines to integrate and move data from Salesforce to external data warehouses and vice versa. Salesforce first introduced the concept of zero-copy two-way integration through a partnership with DataCloud. Amazon Redshift, Databricks, Google Cloud's BigQueryAnd Snowflake.

Salesforce also unveiled innovations including new zero-copy support for open data lakes and lakehouses. Apache Iceberg Added zero-copy support for OpenTable format as well as ISV partners developing data kits to distribute their valuable data sets to data cloud users.

Real-time analytics news in a nutshell

Amazon Web Services (AWS) announced new Amazon Bedrock innovations that offer simpler, faster, and more secure ways to develop advanced generative artificial intelligence (AI) applications and experiences. The announcement includes Guardrails for Amazon Bedrock, custom model input capabilities, and model evaluation. Additionally, the solution supports more model selections, including Amazon Titan Text Embeddings V2, Amazon Titan Image Generator, Meta's Llama 3 models, and Cohere's Command R and Command R+ models.

On the scale announced the public preview of AtScale Developer Community Edition. This free downloadable version of AtScale's Semantic Layer platform empowers users to create and share semantic models, taking a significant leap in democratizing analytics. To this end, the Developer Community Edition serves as a universal semantic hub, allowing semantic models to be distributed across different AI/BI tools, promoting an integrated data environment.

census Announced that it is now available. Google Cloud Marketplace. With this availability, Google Cloud customers can leverage Census to sync insights from their cloud data warehouse with 200+ business applications such as Google Ads, Google Analytics, Salesforce, Braze, Marketo, and more. can

Clean Lab launched Trustworthy Language Model (TLM), a fundamental advance in generative AI that the company says can detect when large language models (LLMs) are deceptive. CleanLab's TLM combines uncertainty estimation, auto-ML ensemble, and quantum information algorithms repurposed for general computing to build confidence in generative AI. Its API wraps around any LLM, generating reliable reliability scores for each response.

Copado Announced general availability of Test Copilot, an AI-powered test creation assistant. Powered by CopadoGPT, Test Copilot is an intuitive way to create accurate tests for the sales force with high efficiency for users of all experience levels. Combined with Copado Explorer, it offers a way to deliver standard releases at an enterprise scale. Additionally, Copado Test Pilot can speed up the testing process through automated test creation.

Sierra announced that it has expanded its coverage from SaaS, DBaaS, and IaaS environments to include on-premises databases and file shares; This extension enhances users' understanding of their data, its associated risks and its security. As a result, Sierra's solution now encapsulates data everywhere in a single pane of glass.

Dataco Announced Dataiku Answers, a new way for data teams to build generative AI-powered chat using enterprise-scale retrieval-augmented generation (RAG). With Dataiku Answers, teams can select the LLM of their choice, feed their organization's proprietary data through RAG techniques, and build AI chatbots tailored to all departments in their organization. are With capabilities like these, Dataiku Answers enables data teams to easily build RAG-based chatbots fueled by proprietary content.

Datorios announced the immediate availability of the Datorios Data Observability Platform for Apache Flink. The new offering gives organizations never-before-seen insights into streaming data processing, making it easier for companies to bring new real-time AI systems to market and audit their behavior. Specifically, Datorios shows what that data looks like as it is being transformed and processed within Apache Flink-based data pipelines. As a result, development, troubleshooting, and auditing of real-time AI applications becomes much easier.

Franz Inc Announced AllegroGraph 8.1, a Neuro-Symbolic AI platform that includes ChatStreamä, a natural language query interface for querying a Neuro-Symbolic application. In the release, AllegroGraph combines machine learning (statistical AI) with knowledge and reasoning (symbolic AI) capabilities. This combination enables AllegroGraph to solve complex problems that require reasoning and learn efficiently with less data, thereby increasing its applicability to a wider array of tasks. . AllegroGraph also uses a combination of machine learning and reasoning to make decisions that are understandable and explainable to humans, an important step in the development of AI.

J. Frog Jfrog announced a new machine learning (ML) lifecycle integration between Artifactory and ML Flow, an open source software platform originally developed by Databricks. The new integration gives JFrog customers a powerful way to build, manage and deliver apps powered by ML models and generative AI (GenAI), along with all other components of software development in one seamless, end-to-end solution. From end to end, DevSecOps is in the workflow. By making each model immutable and traceable, companies can verify the security and authenticity of ML models, enabling responsible AI practices.

Oracle announced that NVIDIA AI Enterprise on Oracle Cloud Infrastructure Supercluster is now available to help address autonomous AI in the Oracle US Government Cloud Region. NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates and streamlines the development and deployment of production-grade AI applications. It is built from the ground up to address security and autonomous AI needs and provides the best of NVIDIA software and Oracle Cloud Infrastructure AI infrastructure in a unified solution.

Monster API announced a GPT-based deployment agent (MonsterGPT) to simplify and accelerate the fine-tuning and deployment process of more than 30 open-source models, including Llama3, Mistral , SDXL, and Zephyr This solution reduces implementation time from 10 minutes to a full day, and significantly reduces engineering resources. With simple commands like “fine tune llama 3”, developers can use the Monster API's chat interface to fine-tune and deploy models without having to deal with GPUs, ML environments, Kubernetes and more.

NEC Corporation Expanded its “NEC cotomi” generative AI services with the development of “NEC cotomi Pro” and “NEC cotomi Light”, two new high-speed generative AI Large Language Models (LLMs) with the latest training data and architectures. In particular, NEC's newly developed NEC cotomi Pro and NEC cotomi Light are high-speed, high-performance models that deliver the same high performance as global LLMs, but at ten times the speed.

New Relic announced the general availability of NewRelic AI Monitoring with a suite of new features to meet the evolving needs of organizations developing AI applications. New features include in-depth AI response detection insights with real-time user feedback and model comparisons to help continuously improve AI application performance, quality and cost.

NVIDIA announced that it has entered into a definitive agreement to acquire Run: AI, a Kubernetes-based workload management and orchestration software provider. NVIDIA will continue to offer Run:ai products under the same business model for the foreseeable future. NVIDIA DGX and DGX Cloud customers will have access to Run:ai's capabilities for their AI workloads, especially for large language model deployments. Run:ai solutions are already integrated with NVIDIA DGX, NVIDIA DGX SuperPOD, NVIDIA Base Command, NGC Containers, and NVIDIA AI Enterprise Software, among other products.

SIOS Technology Corporation Announced the availability of its SIOS LifeKeeper for Linux admin training on Udemy. As a result, SIOS admin training, previously accessible primarily through pre-scheduled bi-monthly events, is now available on-demand through Udemy. This training covers the key concepts and procedures needed to ensure that critical Linux applications and databases are always available, even in the face of hardware or software failure.

Snorkel AI announced the latest release of its flagship AI data development platform, Snorkel Flow, to further accelerate the customization of large language models (LLM) with enterprise data. The latest release advances the solution's programmatic approach to AI data development by introducing key enterprise scalability, scalability, and collaboration features, as well as broader support for multimodal data.

Snowflake Announced Snowflake Arctic, a state-of-the-art Large Language Model (LLM) designed to be the most open, enterprise-grade LLM on the market. With its Mixture of Experts (MoE) architecture, Arctic delivers intelligence with efficiency at scale. Snowflake Arctic is optimized for complex enterprise workloads. In addition, Snowflake is releasing Arctic weights under the Apache 2.0 license, and details the research on how it was trained.

Symphony AI announced IRIS (Industrial Reasoning and Insights Service) Foundry, an industrial data operations platform for creating digital industrial applications that improve process efficiency, reduce unscheduled asset downtime and connect Enhances the skills of workers. IRIS Foundry has pre-built connectors for extracting data from IT, OT, and enterprise data sources into Polyglot DataTops storage to ensure versatile handling and integration of multiple data contexts.

WSO 2 Introduced new capabilities for WSO2 API Manager, WSO2 API Platform for Kubernetes (WSO2 APK), and WSO2 MicroIntegrator. Some of the new features include a single, unified control plane that manages the WSO2 API Manager and WSO2 APK data planes, bringing API management into the Kubernetes environment. A new AI-based WSO2 AI Developer Assistant in the WSO2 API Manager control plane, GraphQL support in the WSO2 APK, and a new WSO2 MicroIntegrator extension for Microsoft Visual Studio Code (VS Code).

If your company has real-time analytics news, send your announcements. [email protected].

In case you missed it, here are our recent past weekly real-time analytics news roundups:

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