In this week’s real-time analytics news: NVIDIA continued to expand its AI efforts with the announcement of the NVIDIA AI Workbench.
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NVIDIA made several announcements of interest to the AI marketplace. To start, it announced NVIDIA AI Workbench, a unified, easy-to-use toolkit that allows developers to quickly create, test and customize pre-trained generative AI models on a PC or workstation — then scale them to virtually any data center, public cloud, or NVIDIA DGX Cloud.
To further accelerate the adoption of generative AI, NVIDIA announced the latest version of its enterprise software platform, NVIDIA AI Enterprise 4.0. It gives businesses the tools needed to adopt generative AI while also offering the security and API stability required for reliable production deployments.
NVIDIA AI Enterprise 4.0 will be integrated into partner marketplaces, including Google Cloud and Microsoft Azure, as well as through NVIDIA cloud partner Oracle Cloud Infrastructure. Additionally, MLOps providers, including Azure Machine Learning, ClearML, Domino Data Lab, Run:AI, and Weights & Biases, are adding seamless integration with the NVIDIA AI platform to simplify production-grade generative AI model development.
It announced the next-generation NVIDIA GH200 Grace Hopper platform — based on a new Grace Hopper Superchip with the world’s first HBM3e processor — built for the era of accelerated computing and generative AI. Additionally, the Grace Hopper Superchip in the new platform can be connected with additional Superchips by NVIDIA NVLink, allowing them to work together to deploy the giant models used for generative AI.
The company also announced that Microsoft Azure users can now use the latest NVIDIA accelerated computing technology to train and deploy their generative AI applications. Available now, the Microsoft Azure ND H100 v5 VMs using NVIDIA H100 Tensor Core GPUs and NVIDIA Quantum-2 InfiniBand networking — enables scaling generative AI, high-performance computing (HPC), and other applications with a click from a browser.
Additionally, NVIDIA announced a major release of its NVIDIA Omniverse platform, offering new foundation applications and services for developers and industrial enterprises to optimize and enhance their 3D pipelines with the OpenUSD framework and generative AI.
Real-time analytics news in brief
Aerospike has introduced a new curated set of Grafana dashboards built on over 400 documented metrics. The new dashboards provide comprehensive observability of the Aerospike Real-time Data Platform across multiple clouds, data centers, regions, clusters, and nodes. With intuitive navigation, customers can quickly search for and see the metrics that matter most, drill down to granular details, and set up custom alerting enriched with severity information and related alerts. Aerospike also provides an OpenTelemetry (OTel) API so that customers can integrate with their preferred observability tools.
Airbyte made available connectors for the Pinecone and Chroma vector databases as the destination for moving data from hundreds of data sources, which then can be accessed by artificial intelligence (AI) models. The vector database destination in Airbyte now enables users to configure the full ELT pipeline, starting from extracting records from a wide variety of sources to separating unstructured and structured data, preparing, and embedding text contents of records, and finally loading them into vector databases. These vector databases can then be accessed by LLMs.
Amplitude announced Amplitude AI to help businesses use generative AI for product development and analytics. The main features of the solution are Ask Amplitude, an assistant to the chart-building process that customers rely on Amplitude for, built by bootstrapping an LLM with the relevant context for a user’s specific question; and Data Assistant, which is a supercharged data governance tool that makes maintaining and improving data quality easier.
Checkly announced the launch of two features that will advance Monitoring as Code (MaC) efforts by enhancing the user experience and streamlining the monitoring process. The features include the Checkly Activity Log and Checkly Code Exporter. These features enable and empower users to adopt MaC practices more efficiently and effectively into their software development lifecycle, reinforcing Checkly’s leadership in the MaC movement.
DataRobot announced a new generative AI offering, including platform capabilities and applied AI services, to accelerate the path from concept to value with generative AI. This offering brings both generative and predictive AI capabilities together in the DataRobot AI Platform, delivering an open and end-to-end solution for users to experiment, build, deploy, monitor, and moderate enterprise-grade AI applications and assistants.
DataStax announced the availability of vector search capabilities in DataStax Enterprise (DSE) – the on-premises database built on the open-source Apache Cassandra – now enabling any enterprise to build applications with the power of generative AI in their own data center. Customers across highly regulated industries processing highly sensitive data can utilize DSE to power their AI initiatives with performance that leverages the speed and limitless scale of Cassandra. To that end, DataStax DSE supports the most stringent enterprise-level requirements for managing sensitive data, including PHI, PII, and support with PCI enablement.
FeatureByte announced the release of the FeatureByte self-service feature platform, which simplifies and automates the entire feature lifecycle. With the platform, enterprises can enable data scientists and ML engineers to focus on creative problem solving and iterating rapidly on live data. Additionally, FeatureByte automatically ensures data consistency in production, yielding better AI data and more performant models.
Genpact announced it has incorporated generative AI capabilities into its proprietary Enterprise360 intelligence platform. The integration of generative AI into Enterprise360 delivers several key benefits, including empowered problem solving, faster adaptation to new business challenges; and accelerated value delivery and transformation.
Got It AI unveiled Agent Copilot, a conversational AI solution for customer service and sales operations with guard-railed generative AI. Designed to empower agents with quick and accurate answers from complex knowledge sources, Agent Copilot aims to enhance customer interactions and response times. Agent Copilot uses TruthChecker AI, a feature designed to catch and avoid inaccuracies in responses generated by Large Language Models (LLMs).
Kognitos has unveiled its latest updates to its generative AI automation platform, which now enables business users to plan, verify, run, and maintain business process automations all in natural language. This comes with two major feature announcements in its leading automation platform. One is Self Service for All, which allows business users who normally do the process manually to reap the benefit of the automation directly. The company also announced Human Language Interpreter 2.0, which is able to take human language business processes and them “as code.”
Leantime, a developer of AI-powered, science-based workplace experience solutions, announced the launch of its open-source and cloud-based project management system for the non-project manager. Unlike other work management tools which focus on juggling and completing tasks, Leantime combines the best project management practices (lean methodology, agile software development, and design thinking) while fostering a holistic and cohesive goals-oriented work experience.
Lumen Technologies announced Lumen Data Protect, a service for companies battling the growing risks associated with data corruption and security failure. Lumen Data Protect is an enterprise-grade, fully managed data protection service built on the Lumen edge and backed by the company’s global fiber network. The offering harnesses the power of data protection technology from Commvault.
Provectus continues to advance its Open-Source Data Discovery (ODD) and Observability Platform. In its v0.15 release, the team has introduced several platform updates, including data deprecation statuses for streamlined data asset tracking; a “staleness” indicator for data; markdown-based business terms linking for enriched context and connectivity; and markdown support in dataset field descriptions for improved readability.
Quest Software announced the launch of erwin Data Modeler by Quest 12.5. The solution documents existing data sets, facilitating accurate and efficient migration to new cloud environments. Boasting features that enhance data quality, governance, and stakeholder collaboration, erwin Data Modeler 12.5 drives organizations towards data democratization, facilitating strategic efforts such as AI Large Language Model (LLM) development, data intelligence, and data platform modernization.
Rasgo introduced Rasgo AI, an AI-orchestrated self-service analytics platform bringing the power of GPT to the Enterprise Data Warehouse (EDW) in a secure and trusted manner. Rasgo AI harnesses the power of GPT to allow data teams and knowledge workers to more easily build and run workflows, removing friction, and accelerating the path to continuous, accurate insights and recommended best actions.
UiPath announced its latest artificial intelligence (AI) updates with “Project Wingman,” which enables customers to create automations from simple natural language prompts. “Project Wingman” is now available in private preview for select customers. The solution is designed to fundamentally enhance automation creation for developers by providing a user-friendly experience and leveraging Generative AI to make our platform more accessible to those without programming experience.
Vectra AI announced the Vectra AI Platform with patented Attack Signal Intelligence to deliver the integrated signal enterprises need to make extended detection and response (XDR) a reality. With the Vectra AI Platform, enterprises can integrate Vectra AI’s public cloud, identity, SaaS, and network signal with existing endpoint detection and response (EDR) signal to arm SOC teams to keep pace with the ever-growing sophistication, speed, and scale of hybrid attacks.
Partnerships, collaborations, and more
Applied Digital Corporation announced it has formed a strategic partnership with ZEDEDA. The strategic partnership will enable Applied Digital to use ZEDEDA’s management and orchestration software solution, powering Applied Digital’s new integrated on-demand Transmutable AI cloud service offering to address the exploding demand for AI computing resources and infrastructure.
Code42 Software announced that it has partnered with Tines to release Incydr Flows, powered by Tines. With the automation capabilities of Tines, the integration enables security teams to simplify manual, error-prone, and cross-functional workflows by automating actions between the Code42 Incydr solution and other corporate systems such as IAM, PAM, EDR, HCM, and ITSM.
Hitachi Vantara announced it has achieved the Amazon Web Services (AWS) SAP Competency status. With this designation, Hitachi Vantara is now recognized as an AWS partner with technical proficiency and proven success in SAP implementation, migration, and innovation on AWS Cloud. As a premier-level partner with AWS SAP Competency, Hitachi Vantara’s proven proficiency helps our clients seamlessly move to AWS Cloud.
IBM announced plans to host Meta’s Llama 2-chat 70 billion parameter model in the watsonx.ai studio, with early access now available to select clients and partners. This will build on IBM’s collaboration with Meta on open innovation for AI, including work with open-source projects developed by Meta – such as the PyTorch machine learning framework and the Presto query engine used in watsonx.data.
Kyndryl and Microsoft announced a joint effort to enable the adoption of enterprise-grade generative AI solutions for businesses on The Microsoft Cloud. Leveraging the partnership’s Joint Innovation Centers, Kyndryl’s patent portfolio in data and AI, and its access to Microsoft 365 Copilot, Azure OpenAI Service, and Microsoft Fabric, the two companies will rapidly design, develop and drive new generative AI innovations and solutions across their enterprises.
Resonate announced the launch of the Resonate Elements dataset on Snowflake Marketplace. This new availability will enable organizations to leverage the Snowflake-centralized data experience to find the “why” behind consumer behavior available in real time in Resonate Elements data for improved engagement, conversion, and loyalty.
SAS announced it has achieved the Amazon Web Services (AWS) Digital Customer Experience Competency. This differentiates SAS as an AWS Partner that has demonstrated technical proficiency and proven customer success supporting customers with the infrastructure, storage, availability, advanced analytics, and decision-making capabilities needed to deliver meaningful digital platform experiences to their consumers.
Snorkel AI announced it has expanded its partnership with Google Cloud announcing the availability of its data platform for foundation models on Google Cloud Marketplace and extending its collaboration to include Vertex Generative AI Studio. With Snorkel Flow, Google Cloud customers can develop, fine-tune, and adapt ML models of all sizes—including multi-billion parameter PaLM foundation models such as FLAN-T5-XXL—using their own proprietary data and subject matter expertise.
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