MariaDB Corporation and MindsDB, a provider of in-database machine learning tools, together announced a technology collaboration that makes machine learning predictions easy and accessible to cloud database users. By using MindsDB in SkySQL, MariaDB’s fully managed cloud database service, data science and data engineering teams can increase their organization’s predictive capabilities to plan for and address business issues. MariaDB database users will now be able to add machine learning based predictions directly into their datasets stored in SkySQL. This simplifies the task of analyzing and predicting future trends, putting machine learning capabilities into the hands of MariaDB users, no matter their role. The use cases for business predictions cut across every business function such as finance, sales, risk analysis, logistics, operations, and marketing.
Category: Enterprise software & integration (Page 2 of 22)
Komprise announced Komprise Smart Data Workflows, a systematic process to discover relevant file and object data across cloud, edge and on-premises datacenters and feed data in native format to AI and machine learning (ML) tools and data lakes.
Komprise has expanded Deep Analytics Actions to include copy and confine operations based on Deep Analytics queries, added the ability to execute external functions such as running natural language processing functions via API and expanded global tagging and search to support these workflows. Komprise Smart Data Workflows allow you to define and execute a process with as many of these steps needed in any sequence, including external functions at the edge, datacenter or cloud. Komprise Global File Index and Smart Data Workflows together reduce the time it takes to find, enrich and move the right unstructured data. Komprise Smart Data Workflows are relevant across many sectors. Here’s an example from the pharmaceutical industry.
https://www.komprise.com/komprise-automates-unstructured-data-discovery-with-smart-data-workflows/
Cloudflare, Inc. announced that it is collaborating with Deno and individual core contributors of the Node.js open source project, bringing together three of the largest JavaScript environments, to give developers flexibility and choice while creating the standards of the future of edge computing. By collaborating around a common set of standards, the effort will aim to ensure code developed in one environment will work in another.
The Web-interoperable Runtimes Community Group (or “WinterCG”) is working with organizations including NearForm and Vercel to ensure that developers’ voices were heard in the creation of a new community group working within existing standards bodies. The API Standards allow developers to:
- Use the best tool or framework for the job: It will be easier to leverage tools and integrations from the community across runtimes, allowing developers to use the best tool for the job.
- Have a uniform approach to writing server side code: By removing platform specific nuances and the need to learn different platforms and focusing on functionality it’s easier for developers to ship better code.
- Move applications as technology needs change: As application needs evolve and change over time there is no need for massive re-writes and adding or switching vendors.
Netlify, a platform for modern web development, announced Netlify Edge Functions, bringing standards-based edge compute to Netlify’s development workflow. Developers can now build fast web experiences in less time, using Edge Functions to run dynamic content or even an entire application from the network edge without compromising performance. Built on Deno, an open source runtime, Edge Functions work out-of-the-box with new server-side features from existing web frameworks like Next.js, Nuxt, Astro, Eleventy, and SvelteKit as well as new edge-first frameworks like Hydrogen and Remix.
The recent macrotrend of edge computing has led to a wave of innovation at the network edge, but many of these new solutions are proprietary, don’t use popular programming languages, and don’t offer integrations with multiple web frameworks. As a result, edge compute has added substantial complexity to the software development lifecycle. Netlify Edge Functions were built to be an antidote, letting development teams avoid this tradeoff and, ultimately, deliver modern web experiences to market much faster.
Netlify’s suite of serverless capabilities – Netlify Functions, Background Functions, Scheduled Functions, and now Edge Functions – give developers the flexibility to apply compute where and when they need it. Netlify Edge Functions is now available in public beta.
https://www.netlify.com/blog/announcing-serverless-compute-with-edge-functions
From the Google Cloud blog…
The volume of valuable data that organizations have to manage and analyze is growing at an incredible rate. This data is increasingly distributed across many locations, including data warehouses, data lakes, and NoSQL stores.
Today, we’re excited to announce BigLake, a storage engine that allows you to unify data warehouses and lakes. BigLake gives teams the power to analyze data without worrying about the underlying storage format or system, and eliminates the need to duplicate or move data, reducing cost and inefficiencies. With BigLake, users gain fine-grained access controls, along with performance acceleration across BigQuery and multicloud data lakes on AWS and Azure. BigLake also makes that data uniformly accessible across Google Cloud and open source engines with consistent security. BigLake enables you to:
- Extend BigQuery to multicloud data lakes and open formats such as Parquet and ORC with fine-grained security controls, without needing to set up new infrastructure.
- Keep a single copy of data and enforce consistent access controls across analytics engines of your choice, including Google Cloud and open-source technologies such as Spark, Presto, Trino, and Tensorflow.
- Achieve unified governance and management at scale through seamless integration with Dataplex.
Airbyte, creators of an open-source data integration platform, made available in the U.S. its cloud service for data movement and unifying data integration pipelines. Airbyte Cloud’s pricing model is based on compute time, which can be less expensive than the industry-norm volume-based pricing which is cost prohibitive when replicating high volumes of data.
Airbyte’s open-source data integrations focused on solving two problems: First, companies have to build and maintain data connectors on their own because most less popular “long tail” data connectors are not supported by closed-source ELT technologies. Second, data teams often have to do custom work around pre-built connectors to make them work within their unique data infrastructure. In addition to providing hosting and management, Airbyte Cloud enables companies to have multiple workspaces and provides access management for their teams.
The company also announced cooperation with open-source maintainers within its user community. Airbyte will provide compensation for helping deliver new features and bug fixes for the continuously-growing list of data connectors. Contributors can earn money for work on data connectors for finding software bugs, and for bug fixes.
Super.AI announced the latest version of the company’s Unstructured Data Processing (UDP) Platform, to make it easier for global business services and IT departments to expand the scope and pace of intelligent automation.
Shared services centers typically deploy multiple point solutions for document processing, sensitive information redaction, and processing other forms of unstructured data such as emails, text, images, video, and audio. Super.AI’s UDP Platform unifies intelligent document processing (IDP), human-in-the-loop (HITL), redaction, and processing of any data type — reducing the number of platforms needed for intelligent automation. Enhancements in the latest release include:
- Next-generation intelligent document processing (IDP) that utilizes artificial intelligence technology to deliver the highest quality results.
- Efficient and accurate document, image, audio, and video redaction to streamline regulatory compliance and reduce risk.
- Reimagined human-in-the-loop capabilities for data validation and labeling, allowing organizations to incorporate third-party and in-house experts into automation workflows.
- 150+ quality control mechanisms built into the platform that guarantee output and ensure service level agreements (SLAs) are met.
Brightspot, a content management system (CMS) provider, has announced a partnership with ethinking, a Berlin-based digital agency. Brightspot and ethinking will be partnering on their first joint customer project with RTL Luxembourg, a media organization in Luxembourg. In this joint project, both partners will work to migrate RTL Luxembourg’s current CMS to the next generation BrightspotCMS. Additional client updates include ethinking’s implementation of ‘XP Layer’ for the RTL Luxembourg user platform, headless low-code software developed to act as an interface between data sources and content channels.
With XP Layer, the CMS can be centrally controlled with websites, apps and other digital playout channels, and expanded and connected with all conceivable sources. The solution connects all necessary services and sources of a business-oriented platform, controlled by a widget-based construction kit, without requiring deep IT intervention.
Beyond the RTL Luxembourg project, both companies plan to continue future collaboration opportunities to bring Brightspot CMS and ethinking XP Layer to a wider net of content-focused organizations. This new project and subsequent initiatives come on the heels of Brightspot’s expansion to its ‘API-first capabilities’ partner program.
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