Real-time Analytics News for the Week Ending October 28


In this week’s real-time analytics news: MLCommons announced the creation of the AI Safety working group, an effort that includes many industry leaders.

Keeping pace with news and developments in the real-time analytics 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!

MLCommons, an AI benchmarking organization, announced the creation of the AI Safety (AIS) working group. The AIS will develop a platform and pool of tests from many contributors to support AI safety benchmarks for diverse use cases. The initial focus will be developing safety benchmarks for large language models (LLMs), building on groundbreaking work done by researchers at Stanford University’s Center for Research on Foundation Models and its Holistic Evaluation of Language Models (HELM). In addition to building upon the HELM framework and incorporating many of its safety-related tests, we expect several companies to externalize AI safety tests they have used internally for proprietary purposes and share them openly with the MLCommons community, which will help speed the pace of innovation.

The AIS working group’s initial participation includes a multi-disciplinary group of AI experts, including Anthropic, Coactive AI, Google, Inflection, Intel, Meta, Microsoft, NVIDIA, OpenAI, Qualcomm Technologies, and academics Joaquin Vanstoren from Eindhoven University of Technology, Percy Liang from Stanford University, and Bo Li from the University of Chicago.

Real-time analytics news in brief

Amazon Web Services (AWS) announced it will launch the AWS European Sovereign Cloud, a new, independent cloud for Europe designed to help public sector customers and those in highly regulated industries meet stringent regulatory data residency and operational requirements. Located and operated within Europe, the AWS European Sovereign Cloud will be physically and logically separate from existing AWS Regions, giving customers an additional choice to meet their data residency, operational autonomy, and resiliency needs.

Chkk emerged from stealth with its Kubernetes Availability Platform that identifies and prioritizes availability risks before they cause incidents and creates pre-verified upgrade plans to remediate risks and speed up upgrades. The platform is powered by Chkk’s Collective Learning technology that mines, curates, and programmatically delivers operational knowledge to all developers. The platform is now generally available.

DataGPT announced the launch of the DataGPT AI Analyst, uniting the creative, comprehension-rich side of a large language model (LLM) with the logic and reasoning of advanced analytics techniques. This combination makes sophisticated analysis accessible to more people without compromising accuracy and impact. DataGPT can process billions of rows of data in real time and provides both insights and visualizations, a key differentiator from other available offerings.

Datasaur launched LLM Lab, an all-in-one comprehensive interface for data scientists and engineers to build and train custom LLM models like ChatGPT. The product will provide a wide range of features for users to test different foundation models, connect to their own internal documents, optimize server costs, and more.

Dialpad announced the release of Custom Ai Playbooks, a tool that provides real-time coaching and adherence guidance to sales and customer service teams during and after customer calls. Leveraging over five billion minutes of proprietary data, Custom Ai Playbooks uses Dialpad’s real-time speech recognition and generative AI to drive team efficiency, improve productivity, and ensure sales teams adhere to best practices that drive key KPIs.

IBM launched watsonx Code Assistant, a generative AI-powered assistant that helps enterprise developers and IT operators code more quickly and more accurately using natural language prompts. The product currently delivers on two specific enterprise use cases. First, IT Automation with watsonx Code Assistant for Red Hat Ansible Lightspeed, for tasks such as network configuration and code deployment. Second, mainframe application modernization with watsonx Code Assistant for Z, for translation of COBOL to Java on IBM Z.

Komprise announced a major update to Komprise Elastic Data Migration, which expands to address specific use cases for large-scale file and object data migrations. The latest release includes three new options for customers that go beyond traditional enterprise migrations. They are zero downtime/warm cutover migration, pre-loaded migration, and consolidation migration.

Neo4j announced major new capabilities enabling cloud or self-managed customers to increase analytical queries faster, run both transactional and analytical processing within one database, and automatically track data changes in real time for faster mission-critical decision making. New capabilities and benefits include up to 100X faster performance of analytical queries via Parallel Runtime capability, faster mission-critical decisions enabled by native Change Data Capture (CDC), easier Knowledge Graph creation via new embedding models, and new pathfinding algorithms that make complex workflows more efficient.

Ontotext announced Release 10.4 of GraphDB, the company’s knowledge graph database engine. GraphDB 10.4 is the first release to be available on AWS Marketplace. Other new 10.4 features include user-defined Access Control Lists (ACLs) for more granular control over the security of data. Connectors to external services now include one for ChatGPT that lets you customize the answers returned by the OpenAI API with data from your own knowledge graphs.

Predibase announced the availability of its software development kit (SDK) for efficient fine-tuning and serving. This new offering enables developers to train smaller, task-specific LLMs using even the cheapest and most readily available GPU hardware within their cloud. Fine-tuned models can then be served using Predibase’s lightweight, modular LLM serving architecture that dynamically loads and unloads models on demand in seconds.

Privacera announced the General Availability (GA) of Privacera AI Governance (PAIG). PAIG allows organizations to securely innovate with generative AI (GenAI) technologies by securing the entire AI application lifecycle from discovery and securing of sensitive fine-tuning data, Retrieval Augmented Generation (RAG), and user interactions feeding into AI-powered models to model outputs as well as continuous monitoring of AI governance through comprehensive audit trails.

Rockwell Automation and Microsoft announced an extension of their longstanding relationship to accelerate industrial automation design and development through generative artificial intelligence (AI). The companies are combining technologies to accelerate time-to-market for customers building industrial automation systems. The first outcome of this collaboration will be to add Microsoft’s Azure OpenAI Service into FactoryTalk Design Studio.

Stardog released Voicebox, a large language model (LLM)-powered platform that enables immediate access to business data critical to getting work done. With Voicebox, any employee, customer, or corporate vendor can ask questions using ordinary language and get immediate answers based on trusted, timely, and accurate enterprise data. No special technical skills are required.

Treeverse, the creator of lakeFS, the open-source technology that brings data version control to data lakes, announced the release of lakeFS 1.0, a scalable and highly reliable system with backward compatible interfaces within the modern data stack. With the release of version 1.0, lakeFS is officially production grade in stability, security, and performance – having been thoroughly vetted in production by thousands of companies over the last three years since its initial release. 

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:

Salvatore Salamone

About Salvatore Salamone

Salvatore Salamone is a physicist by training who has been writing about science and information technology for more than 30 years. During that time, 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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