In this week’s real-time analytics news: The Linux Foundation welcomed the Open Model Initiative to focus on the development of generative AI models that are open source and ethical.
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The Linux Foundation welcomed the Open Model Initiative (OMI) to the Linux Foundation community. The primary objective of the OMI is to facilitate the development of generative AI models that are true open source, capable, and ethical. Additionally, the OMI aims to foster the creation and adoption of high-quality, openly licensed AI models that push creativity forward, are free to use, and meet the growing demands for open-source AI solutions.
Established in response to licensing decisions that create barriers to enterprise adoption, OMI is focused on training and developing AI models under irrevocable open licenses without deletion clauses or recurring costs for access. Formed through a joint effort by founding organizations Invoke, CivitAI, and Comfy Org, and with widespread support from community players like Wand and Sentient Foundation, the OMI is now an official open-source foundation hosted by the Linux Foundation and will be governed by a community-led Steering Committee.
Other real-time analytics news in brief
AMD announced the completion of its acquisition of Silo AI, the largest private AI lab in Europe. Silo AI brings a team of AI scientists and engineers experienced in developing cutting-edge AI models, platforms, and solutions for large enterprise customers to AMD. They have created state-of-the-art open-source multilingual Large Language Models (LLMs), including Poro and Viking, on AMD platforms.
ClearML announced the launch of its end-to-end AI Platform, designed to streamline AI adoption and the entire development lifecycle. This unified, open-source platform supports every phase of AI development, from lab to production, allowing organizations to leverage any model, dataset, or architecture at scale. ClearML’s platform integrates seamlessly with existing tools, frameworks, and infrastructures.
Cockroach Labs and PwC UK announced a strategic collaboration to reduce the risks, costs, and complexity of regulatory compliance and mainframe modernization. With this partnership, PwC UK and Cockroach Labs will offer end-to-end comprehensive solutions to banks and financial service institutions grappling with evolving regulatory complexities and impending mandates around operational resiliency, business continuity, and data sovereignty. Additionally, they will address the growing need for financial firms to migrate from legacy mainframes in alignment with modern customer expectations and industry-wide cost optimization initiatives.
Dataiku announced the expansion of its LLM Mesh ecosystem to facilitate secure access to thousands of large language model (LLM) gateways. Dataiku’s LLM Mesh enables organizations to take a multi-LLM approach, switching out underlying models to power GenAI-driven applications with ease. With the expansion, the LLM Mesh now supports many LLM players, including 15 major cloud and AI vendors like Amazon Web Services (AWS), Databricks, Google Cloud, Snowflake (Arctic), and more.
deepset announced an expansion of its offerings with deepset Studio, an interactive tool that empowers product, engineering, and data teams to visually architect custom AI pipelines that power agentic and advanced RAG applications. deepset Studio is a drag-and-drop visual environment for building customized AI pipelines. With the solution, AI teams are now able to more easily build top-tier composable AI systems, and immediately deploy them in cloud and on-premises environments using deepset Cloud and NVIDIA AI Enterprise software.
Mimecast announced the acquisition of Aware, an AI collaboration security platform. Embedding Aware’s AI-Powered Collaboration Security Solution in Mimecast’s connected Human Risk Management platform will strengthen collaboration security and compliance offerings. Specifically, Aware’s purpose-built platform and targeted AI models identify the risks found within the unstructured data of workplace collaboration tools and are designed to prevent the loss of sensitive data, improve compliance, and mitigate human risk factors. The company’s advanced AI-powered capabilities strengthen Mimecast’s existing investments in AI models.
NETSCOUT announced a new initiative designed to deliver the valued data needed to secure better outcomes from artificial intelligence (AI) and AIOps solutions. Specifically, the new solution fuels AI/ML processes with actionable data to enhance service performance. To that end, NETSCOUT’s data can be easily ingested into data lakes and other AIOps platforms, where it can be enriched and combined with other datasets for analytics and visualization, resulting in higher-quality behavioral classifications, predictions, and automation.
Ortoo announced the launch of Smart Actions, a Salesforce-native app available on the Salesforce AppExchange. The tool allows businesses to seamlessly integrate AI automation into their Salesforce workflows, driving efficiency and simplifying complex processes with just a click. Specifically, Smart Actions enables businesses to deploy AI and GPT-powered automations across sales, service, and support processes within Salesforce, without the high costs typically associated with advanced AI tools.
TigerEye announced the open-source release of DuckDB.dart. This technology simplifies the creation of data-intensive applications for both desktop and mobile platforms, offering significant resource savings for companies. DuckDB.Dart is a native Dart API for DuckDB, enabling direct integration of DuckDB’s data processing and analytical capabilities in applications. Built on DuckDB’s high-performance C APIs, it introduces new Dart data types for quick and easy use. DuckDB’s columnar format and vectorized query execution allow for faster downloads and more efficient data analysis and simulation while also reducing device memory usage.
Workato and Reltio announced they have expanded their partnership to provide customers with an end-to-end cloud-native solution for data unification, management, and activation. To that end, they announced the launch of the Workato Data Hub powered by Reltio, which combines Reltio’s Customer 360 Data Product and Multidomain Master Data Management (MDM) with Workato’s data orchestration capabilities to activate trusted real-time data in applications, business processes, and more. With the Workato Data Hub powered by Reltio, organizations will enable real-time insights to action, operational efficiency, and streamlined governance and compliance.
Yellow.ai announced the launch of Analyze, a solution designed to improve bot interactions with in-depth conversational insights and advanced self-learning capabilities. Powered by an in-house LLM model, Yellow.ai’s Analyze not only delivers detailed insights but also uses this information to continuously improve the bot’s ability to handle a broader range of customer queries without human intervention. Key features in the solution include next-generation self-learning loopback technology, strategic insights for topic clustering, conversation analysis for improved customer support, and sentiment analysis for higher user satisfaction.
Yokogawa Electric Corporation announced that it has developed the OpreX Open Automation SI Kit and the OpreX OPC UA Management Package, both of which will play important roles in the implementation of Open Process Automation (OPA) systems. By providing configuration and application portability and interoperability across components from different suppliers, OPA systems allow end users to select and integrate best-in-class components. With these products, customers will be able to more easily optimize overall costs and deploy the latest technology in system construction projects by adopting devices and applications that comply with the Open Process Automation Standard (O-PAS). The products are available as part of the OpreX Control and Safety lineup.
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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 August 10
- Real-time Analytics News for the Week Ending August 3
- Real-time Analytics News for the Week Ending July 27
- Real-time Analytics News for the Week Ending July 20
- Real-time Analytics News for the Week Ending July 13
- 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
