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: Content technology news (Page 41 of 624)
Curated information technology news for content technology, computing, and digital experience professionals. News items are edited to remove hype, unhelpful jargon, iffy statements, and quotes, to create a short summary — mostly limited to 200 words — of the important facts with a link back to a useful source for more information. News items are published using the date of the original source here and in our weekly email newsletter.
We focus on product news, but also include selected company news such as mergers and acquisitions and meaningful partnerships. All news items are edited by one of our analysts under the NewsShark byline. See our Editorial Policy.
Note that we also publish news on X/Twitter. Follow us @gilbane
SimInsights announced general availability (GA) of HyperSkill, a no-code 3D simulation software for Virtual and Augmented Reality and Artificial Intelligence powered training. HyperSkill was created to enable instructional designers and subject matter experts to author immersive, interactive and intelligent training content without having to learn programming or technical skills in machine learning and artificial intelligence. HyperSkill enables non-programmers to author VR/AR/AI-powered content, automatically optimize it and publish it across many devices and audiences and collect and visualize experience data for assessment and evaluation. HyperSkill has been used by customers in healthcare, manufacturing and education and has been developed with their close collaboration and feedback. HyperSkill includes:
- No-code authoring: Faster and cheaper to author compared to programming with 3D game engines
- Reusable repository: Growing public repository of XR-ready 3D assets, including virtual environments, virtual persons and virtual objects
- AI-Powered: Natural Language Processing (NLP) and Computer Vision to simplify authoring, enhance experiences and unlock new use cases
- Cross Platform: Author once, deliver everywhere, including emerging AR/VR headsets as well as web, desktop and mobile platforms.
- Multiplayer: Enables synchronous learning scenarios, including collaborative and instructor-led training.
HyperSkill is a SaaS (Software as a Service) product available for a free trial.
Deepnote, an early-stage startup backed by Accel and Index Ventures, launched version 1.0, opening up to the general availability of collaborative data science notebooks to data teams. Data team efficacy relies on the process of access to, exploration of, and collaboration around data—for example, when an organization needs to make a data-informed decision, it will rely on data teams to explore datasets and share insights that lead to action. This process is siloed within a single department, findings are inconsistent, and insights quickly become out of date. Deepnote makes data collaboration a reality improving three pain points of traditional data science notebooks:
- Collaboration: Sharing analysis and collaboration is as easy as sending a link because everything is hosted in a fully-managed cloud environment. Analysis is done in real-time with multiplayer mode if needed. And everything is organized and hosted in a single place.
- Connectivity: With dozens of native integrations to tools in the modern data stack—Snowflake, BigQuery, Postgres, S3, GitHub—data teams can seamlessly connect to the tools they’re already using.
- Productivity: Underserved data analysts and scientists are now equipped with productivity features—reproducibility, autocomplete, scheduling, version control—to do better work in less time.
Version 5.0 of Oxygen Content Fusion is the latest release for the collaboration platform that is designed to improve any documentation review process. Some of the most interesting features added in the latest version include a new Search side-view that enables searches throughout all files in a task, various user interface improvements that offer Content Fusion a more modern look and feel, and the ability to mention other collaborators in review comments.
The embedded visual editor that is based upon Oxygen XML Web Author technology was updated to include the new features and improvements that were added in the recently released Web Author 24.1.0. Some of its most important additions include performance optimizations for the concurrent editing feature and a new Find/Replace tab that makes it possible to see all search results without needing to scroll through the document.
Also, it is now possible for technical writers to open files sent for review directly from Oxygen XML Editor/Author to make changes or to apply a transformation scenario on the DITA map. To this end, new actions were introduced in Oxygen XML Editor/Author that enable you to open task files or the context map specified for a task.
Ontotext, an enterprise knowledge graph technology and semantic database engine provider, announced that Integral Venture Partners (Integral), a capital investment firm, announced this week that an Integral–led investment consortium has entered into a definitive agreement with our mother company Sirma Group Holding, to acquire Ontotext as a global supplier of a deep-tech enterprise software, operating in the graph databases space and the Artificial Intelligence market. The Integral-led international investment consortium also includes PortfoLion Capital Partners, the venture capital and private equity arm of OTP Bank, and Carpathian Partners, a specialized technology-focused investment platform based in London. The Consortium’s investment in excess of €30 million will be structured as a combination of a capital increase and a secondary share purchase. The transaction is not subject to any regulatory approvals and is expected to close by August 2022.
Supported by new capital, Ontotext will accelerate its international expansion and go-to-market operations, focusing on the US market. We will invest in further development of our vertical product stack — end-to-end solutions for specific industries starting with Life Sciences and Financial Services. Last but not least, we will further strengthen our position as global provider of knowledge graph technology.
Contentstack, a Content Experience Platform (CXP) provider, unveiled their Automation Hub, aimed at radically simplifying the deployment of composable architectures at any scale, to help marketing and IT move more rapidly and overcome technical and operational hurdles that adopting a composable architecture can introduce.
Composable architectures (or stacks) are seen as the path forward for enterprises to create digital experiences at the speed needed to respond to changing market demands and business threats. However, moving away from monolithic systems to a world full of choices often introduces technical complexity and operational challenges. Contentstack’s Automation Hub addresses both head-on by infusing simple, no-code, business logic as a front-end to the composable stack.
The Connect without Compromise program combines the new Automation Hub with Contentstack’s Blueprints, a library of best practices & expert guides for composable experiences. Connect without Compromise is a complement to Contentstack’s multi-vendor program designed to ensure cross-vendor support in composable environments. Through the Care without Compromise program, Contentstack and its Catalysts partners cooperate, communicate, and cross-train support staff to help ensure seamless delivery of joint solutions to customers globally. Contentstack Automation Hub is available today as part of Contentstack’s Platform Beta Program with general availability scheduled for late Summer 2022.
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/
Finch Computing, developers of real-time natural language processing solution Finch for Text, announced that it has added relationship extraction and co-references to the product. Relationship extraction gives users an ability to decipher relationships between entities, and co-reference enables words like “her” or “him” or “the leader” appearing in text to be resolved to a specific, named entity.
Finch for Text can now find important relationships between entities such as: Acquired-by, Co-Investor-with, Competitor-with, Customer-of, Director-of, Educated-at, Employer-of, Founder-of, Invested-in, Organization-Location, Owner-of, Partner-of, Person-Location, Relative-of, and Subsidiary-of. For companies and people in particular, understanding these connections helps users perform faster, richer and deeper analysis.
Entity co-reference refers to the ability to resolve otherwise obscure references to an entity – like her, him, the company, the product – to a disambiguated entity. The value of this capability is that it helps users understand all mentions of an entity even if that mention isn’t by name. It improves salience scores because the product can better gauge how much an article is about a given entity. It also improves sentiment scores with more mentions to analyze, and the same is true for relationship extraction – there are more relationships discovered because there are more mentions linked to an entity.
Subscribe to the Gilbane Advisor
