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In this week’s real-time analytics news: Deloitte and AWS partner to help clients scale GenAI efforts.
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!
Deloitte announced the creation of a multi-year strategic collaboration agreement with Amazon Web Services (AWS) to help clients scale their Generative Artificial Intelligence, data and analytics, and quantum computing capabilities by using AWS services, such as Amazon SageMaker, Amazon Bedrock, Amazon Q and Amazon Braket.
Together, the two organizations will establish an Innovation Lab, helping clients explore future technologies like artificial general intelligence (AGI), quantum machine learning (ML), and autonomous robotics, and work to help joint clients solve industry-specific issues using the capabilities that Generative AI has to offer. The industries of interest include financial services, government and public sector, life sciences and health care, media and telecommunications, consumer, and energy.
In addition, the two organizations will make funding available to support customers taking successful proofs of concept (POCs) into production.
Other real-time analytics news in brief
Oracle announced the general availability of Exadata Exascale, an intelligent data architecture for the cloud that provides extreme performance for all Oracle Database workloads, including AI vector processing, analytics, and transactions, at any scale.
In other Oracle news, the company announced that Palantir’s Foundry Platform and Artificial Intelligence Platform (AIP) are certified on Oracle Cloud Infrastructure (OCI) and generally available across all of Oracle’s distributed cloud deployment options. Oracle’s distributed cloud, AI infrastructure, and sovereign AI capabilities, combined with Palantir’s leading AI and decision acceleration platforms, help businesses and governments accelerate their AI initiatives.
Alluxio announced the availability of the latest enhancements in Alluxio Enterprise AI. Version 3.2 focuses on the platform’s capability to use GPU resources universally and offers improvements in I/O performance. It also introduces a new Python interface and sophisticated cache management features. These advancements empower organizations to fully exploit their AI infrastructure, ensuring peak performance, cost-effectiveness, flexibility, and manageability.
Anaconda announced a new integration with Snowflake Notebooks (public preview), a cell-based development interface integrated within Snowflake’s secure, scalable platform. The integration brings Anaconda’s secure, efficient, and robust Python packages within Snowflake Notebooks directly to accelerate data science, machine learning and AI development. This extends Anaconda deeper into the Snowflake AI Data Cloud, empowering users to keep their data and development workflows within Snowflake’s secure and scalable platform.
Arize AI debuted new capabilities to help AI developers evaluate and debug LLM systems. Arize Copilot, an AI assistant to troubleshoot AI systems, is a new tool that surfaces relevant information and suggests actions in the Arize platform, automating complex tasks and taking actions to help AI engineers save time and improve app performance. Examples where the AI Copilot can help out of the box include getting model insights, prompt optimization, building a custom evaluation, and AI search.
Boomi announced the launch of the Boomi API Control Plane, which provides enterprises with a centralized platform to discover, manage, and govern all APIs across their organizations for accelerated business innovation, improved developer productivity, and stronger API governance. Utilizing the recently acquired federated API management business from APIIDA, the Boomi API Control Plane bolsters Boomi’s existing API Management solution, allowing users to discover all APIs in one place, including “shadow APIs” that may exist outside the purview of IT.
Braze announced the launch of the Braze Data Platform, a comprehensive, composable set of data capabilities and partner integrations designed to streamline data unification, activation, and distribution, empowering marketers to create memorable, relevant customer engagements with Braze. In addition to its data unification capabilities, the Braze Data Platform allows companies to easily activate data for increased personalization and relevance and distribute data to build brand equity.
Crunchy Data announced the ability to query Apache Iceberg data directly from Postgres, as well as other enhancements, in connection with its latest release of Crunchy Bridge for Analytics. With this release, users can easily set up foreign tables that read Iceberg files to run fast analytical queries. Support for Apache Iceberg builds on earlier support for Parquet, CSV, or JSON files in object storage such as Amazon S3.
Elastic announced support for Amazon Bedrock-hosted models in Elasticsearch Open Inference API and Playground. As such, developers now have the flexibility to choose any large language model (LLM) available on Amazon Bedrock to build production-ready RAG applications. Developers using Elasticsearch and models hosted on Amazon Bedrock can now store and use embeddings and refine retrieval to ground answers with proprietary data and more.
GridGain announced version 9 of the GridGain Unified Real-Time Data Platform. The new release delivers a stable, resilient, and high-performant solution for ultra-low latency data applications, powering the extreme speed, scale, durability, and reliability critical to modern enterprise use cases and AI. To that end, GridGain 9 delivers the architectural resiliency and scalability necessary to power the data infrastructure foundation for large-scale, real-time data processing, AI, and analytics applications.
Immuta announced that it has achieved the Amazon Web Services (AWS) Data and Analytics Competency status. This designation recognizes that Immuta has demonstrated deep AWS technical expertise and proven customer success in helping clients identify the best tools and processes for collecting, storing, and analyzing data utilizing various AWS services.
New Relic launched its AI-driven Digital Experience Monitoring (DEM) solution to optimize app performance and proactively prevent interruptions in digital experiences. The enterprise-grade solution offers end-to-end visibility and real-time insights across mobile, web, and AI apps, enabling organizations to deliver high-quality digital experiences across all touchpoints with new features like New Relic mobile user journeys, New Relic mobile logs, and enhancements to New Relic session replay.
Patronus AI announced the release of Lynx, a hallucination detection model designed to address the challenge of hallucinations in large language models (LLMs). Lynx enables real-time hallucination detection without the need for manual annotation. Patronus AI also open-sourced HaluBench, a new benchmark sourced from real-world domains, to assess faithfulness in LLM responses comprehensively.
SAS has made SAS Decision Builder available in private preview on Microsoft Fabric. Together, the offering provides easy access to data from Microsoft Fabric OneLake allowing users to test, modify, and run decisions all within the Fabric environment to adjust to changing market landscapes and meet their unique business needs.
Solo.io announced the release of Gloo AI Gateway, which is designed to meet the emerging use case of accelerating AI innovation. For application development, integrating AI into applications can be complex and requires dedicated time and resources to get started. With Gloo AI Gateway, Solo.io is building on years of excellence with Gloo Gateway, which delivers an Envoy-based API gateway and ingress controller to facilitate and secure application traffic at the edge to bring the same speed, security, and scalability to modern AI applications.
VAST Data announced that the VAST Data Platform has been certified as a high-performance storage solution for NVIDIA Partner Network cloud partners. VAST provides a unified set of storage and data services that help cloud service providers (CSPs) offer a catalog of data-centric offerings that are deeply integrated with NVIDIA technologies. This certification underscores VAST’s position as a leading data platform provider for AI cloud infrastructure and further strengthens VAST’s collaboration with NVIDIA in building out next-generation AI factories.
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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 June 29
- Real-time Analytics News for the Week Ending June 22
- Real-time Analytics News for the Week Ending June 15
- Real-time Analytics News for the Week Ending June 8
- Real-time Analytics News for the Week Ending June 1
- Real-time Analytics News for the Week Ending May 25
- Real-time Analytics News for the Week Ending May 18
- Real-time Analytics News for the Week Ending May 11
- Real-time Analytics News for the Week Ending May 4