In this week’s real-time analytics news: IBM, Meta, and more than 50 organizations launched the AI Alliance to advance more open AI.
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IBM, Meta, and more than 50 organizations across business, academia, government, and advocacy — including AMD, Anyscale, Dell, Hugging Face, Intel, Imperial College London, the National Science Foundation, Notre Dame University, ServiceNow, Sony Group, Stability AI, and Yale University — unveiled the AI Alliance designed to advance more open and diverse AI.
The AI Alliance is focused on making AI as innovative as possible through joint collaboration while also adhering to the strongest guardrails around safety and responsibility. The Alliance will seek to do this through projects that meet the following criteria:
- Deploy benchmarks, tools, and other resources that enable the responsible development and use of AI systems at a global scale.
- Develop and align on meaningful benchmarks and evaluation standards for open model releases and model deployment into applications.
- Responsibly advance the ecosystem of open foundation models with diverse modalities.
- Foster a vibrant AI hardware accelerator ecosystem by boosting contributions and adoption of essential enabling software technology.
- Support global AI skills building, education, and exploratory research.
- Develop educational content and resources to inform the public discourse and policymakers on benefits, risks, solutions, and precision regulation for AI.
- Launch initiatives that encourage open development of AI in safe and beneficial ways, and host events to explore AI use cases and showcase how Alliance members are using open technology in AI responsibly and for good.
The U.S. National Science Foundation announced the EducateAI initiative. The goal of the initiative is to enable educators to make high-quality, audience-appropriate artificial intelligence educational experiences available nationwide to K-12, community college, four-year college, and graduate students, as well as adults interested in formal training in AI. Specifically, the EducateAI initiative will offer professional development opportunities and foster communities of practice that will provide teachers with the knowledge and skills required to integrate AI into their teaching practices. In addition, the program will establish the necessary infrastructure to support AI education across diverse institutions and will include a focus on underrepresented groups in computing.
The Responsible AI Institute (RAI Institute), a non-profit organization dedicated to facilitating the responsible use of AI worldwide, introduced three essential tools known as the Responsible AI Safety and Effectiveness (RAISE) Benchmarks. These benchmarks are designed to assist companies in enhancing the integrity of their AI products, services, and systems by integrating responsible AI principles into their development and deployment processes.
Real-time analytics news in brief
Astronomer announced the latest Astro platform release to streamline the data pipeline journey and help teams unleash the power of their data. The release features a suite of enhancements designed to secure and optimize data platforms, simplify connectivity, and empower teams to leverage the full potential of their data. Three key features introduced in this release include a Connection Management system, new tools to upgrade with confidence, including Upgrade Utilities and Deployment Rollbacks, and Scale-to-Zero Development Deployments.
Ataccama announced the release of ONE AI, and, with it, the availability of generative AI features in its Ataccama ONE platform. ONE AI is the AI engine that powers all automation across the extensive capabilities of the Ataccama ONE platform. The platform offers organizations AI-driven data quality, AI-powered data governance, an assisted user experience, and SQL Generation.
DataCebo emerged and launched SDV Enterprise, a commercial offering of the popular open-source product Synthetic Data Vault (SDV). With SDV Enterprise, developers can easily build, deploy, and manage sophisticated generative AI models for enterprise-grade applications when real data is limited or unavailable. SDV Enterprise’s models create higher-quality synthetic data that is statistically similar to the original data so developers can effectively test applications and train robust ML models.
Dataddo announced the launch of its Data Quality Firewall—a feature that ensures the accuracy of any data the platform extracts to storages like BigQuery, Snowflake, and S3. The Firewall is fully embedded in the ETL platform at the pipeline level. It is built on top of Dataddo’s proprietary integration technology; it performs checks on null values, zero values, and anomalies and can be configured individually for each column, enabling granular quality control.
dotData announced the launch of dotData Insight. The new platform combines two complementary AI technologies: dotData’s AI-driven signal discovery engine from Feature Factory and Generative AI. The former uses dotData’s proprietary AI to automatically discover and evaluate data signals and statistical facts hidden within the vast repositories of enterprise data. The latter helps users translate discovered signals into hypotheses, making interpretation easier.
Kinetica announced the availability of Kinetica SQL-GPT for Telecom, a real-time solution that leverages generative AI and vectorized processing to enable telco professionals to have an interactive conversation with their data using natural language, simplifying data exploration and analysis to make informed decisions faster. The Large Language Model (LLM) utilized is native to Kinetica, ensuring robust security measures that address concerns often associated with public LLMs like OpenAI.
KNIME announced KNIME Analytics Platform 5.2, the latest release of its open-source platform. The newest release includes substantial improvements to the user interface driven by community feedback. With version 5.2, users can get around the UI more easily and find what they need more quickly, get faster, more meaningful responses from K-AI, write Python scripts in a revamped editor, build data apps, and enhance analytics workflows using large language models hosted on the cloud or locally.
Landing AI announced the launch of its capability to help enterprises build domain-specific large vision models (LVMs). The advancement enables businesses with vast image libraries to bring artificial intelligence to their proprietary image data. With Landing AI’s LVM solution, companies can take unlabeled image data and create high-performing LVMs that serve as a foundation to solve a diverse set of computer vision tasks in their specific domains.
MongoDB announced the general availability of MongoDB Atlas Vector Search and MongoDB Atlas Search Nodes. MongoDB Atlas Vector Search simplifies bringing generative AI and semantic search capabilities into real-time applications for highly engaging and customized end-user experiences using an organization’s operational data. MongoDB Atlas Search Nodes provide dedicated infrastructure for applications that use generative AI and relevance-based search to scale workloads independent of the database and manage high-throughput use cases with greater flexibility, performance, and efficiency.
ngrok unveiled its JavaScript and Python SDKs, enabling developers to programmatically serve their applications and manage traffic by embedding ingress with a single line of code. These new SDKs, in addition to the existing ones for Go and Rust, bring ngrok’s ingress-as-a-service model to the popular JavaScript and Python developer ecosystems.
Partnerships, collaborations, and more
Dremio announced the public preview of Dremio Cloud for Microsoft Azure. This SaaS solution offers companies self-service analytics coupled with data warehouse functionality and the flexibility of a data lake, all within an environment characterized by rapid setup and deployment, automatic upgrades, scalability, and advanced data lakehouse management features.
Hitachi Vantara announced the launch of Hitachi Unified Compute Platform (UCP) for GKE Enterprise, a new, integrated hybrid solution with long-time partner Google Cloud. Through Google Distributed Cloud Virtual (GDCV), Hitachi UCP for GKE Enterprise offers businesses a unified platform to manage hybrid cloud operations, leading to increased efficiency, scalability, and flexibility in their infrastructure and applications.
Informatica launched new, enhanced Databricks-validated Unity Catalog integrations. The integrations give joint customers a solution for onboarding data from 300+ data sources and rapidly preparing data for consumption with an extensive library of out-of-the-box, no-code, and repeatable data transformation capabilities.
Securiti announced a strategic partnership with Databricks to enhance the way enterprises manage their data and AI across all data systems. The partnership will help companies address the growing need for contextual data intelligence and a data command center that consolidates governance, security, privacy, and compliance.
SingleStore announced that SingleStoreDB will soon be available as a Snowflake Native App in the Snowflake Data Cloud. This integration enables organizations to securely deploy SingleStoreDB inside their Snowflake account to vectorize and perform hybrid searches as part of generative AI applications without having to move or copy data outside of the Snowflake governance boundary.
Snowplow announced the launch of Snowplow Digital Analytics on Snowflake Marketplace. Snowplow Digital Analytics is an app native to the Snowflake Data Cloud that arms users with the analytics components to accelerate insights for marketing teams and minimize costly development cycles for data teams operating in the Snowflake Data Cloud.
Unravel Data announced that it has joined the Databricks Partner Program to deliver AI-powered data observability into Databricks for granular visibility, performance optimizations, and cost governance of data pipelines and applications.
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 December 2
- Real-time Analytics News for the Week Ending November 25
- Real-time Analytics News for the Week Ending November 18
- Real-time Analytics News for the Week Ending November 11
- Real-time Analytics News for the Week Ending November 4
- Real-time Analytics News for the Week Ending October 28
- Real-time Analytics News for the Week Ending October 21
