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.
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.
This week we feature articles from Pete Warden, and Kovid Rathee.
Additional reading comes from Ng Wai Foong, Sean Hollister, Rand Fishkin, and Kevin Indig.
News comes from Franz, Finch Computing, Komprise, and MerlinOne.
Reminder: If you’ve missed any recent issues you can find them here.
Opinion / Analysis
How should you protect your machine learning models and IP?
Pete Warden gets a lot of questions about this “usually… from executives, and digging deeper it became clear they were most worried about competitors gaining an advantage from what we released.”. It’s a good question and Warden provides good advice on what to do, and explains why it may be less of a problem than you think. (5 min)
The landscape of time series databases
The growth of time series databases is not what it was, but it’s mostly because other types of databases have been incorporating more support for time based data. Kovid Rathee provides a useful update. (7 min)
- 20 open-source single speaker multilingual speech datasets via Towards Data Science
- Not a joke!… Apple shipped me a 79-pound iPhone repair kit to fix a 1.1-ounce battery via The Verge
- Google I/O 2022 – Ambient computing is getting real via Kevin Indig
- For those of you tracking… SparkToro & Followerwonk joint Twitter analysis: 19.42% of active accounts are fake or spam via SparkToro
Content technology news
Relationship extraction with co-reference added to Finch for Text
Relationship extraction allows users to decipher relationships between entities. Co-reference resolves words like “her”, “the leader” appearing in text.
Franz releases AllegroGraph 7.3
AllegroGraph 7.3 extends GraphQL to Knowledge Graph Developers and Enterprise Data Fabrics with enhanced GraphQL query capabilities.
Komprise automates unstructured data discovery with Smart Data Workflows
To discover relevant file and object data across cloud, edge and on-premises datacenters and feed data in native format to ML tools and data lakes.
MerlinOne brings visual search to video for digital asset management
Just by describing a scene. NOMAD for Video from MerlinOne searches your collection and takes you there with no additional effort required.
The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish recommended articles and content technology news weekly. We do not sell or share personal data.
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.