The Gilbane Advisor

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Month: May 2020 (Page 2 of 3)

Jahia updates their Digital Experience Platform

May 26, 2020 /

Jahia Solutions Group launched an enhanced version of the Jahia DXP. This cloud-based solution enables customers to better leverage content and customer data so they can accelerate and enhance their customers’ digital journeys. Jahia’s DXP gives marketers at global organizations a way of delivering digital experiences to their customers while leveraging their existing technology stack. Jahia also provides technical support and training for developers, systems administrators and content editors. The new version includes:

  • Improved user experience focuses on streamlining the creation, publishing and personalization of content
  • New Jahia Cloud delivers a serverless DXP with autoscale for performance and flexibility
  • New free trial of Jahia’s Cloud DXP allows users to start using Jahia more quickly
  • New Jahia’s StackConnect includes more than 400 out-of-the-box connectors with no code workflows. StackConnect allows customers to connect and build their digital stack while staying in their current workflow with their own tools
  • New Platform & Module Deployments, including OSGI, JDK 11 support, Tomcat 9 and Docker support
  • Enhanced ability to consume content and data everywhere through advanced API/GraphQL enhancing the headless capabilities.
  • Enhanced SEO, compliance and accessibility features through a SiteImprove integration.

http://www.jahia.com

Franz Inc announces AllegroGraph v7

May 26, 2020 /

Franz Inc., developer of Artificial Intelligence (AI) and supplier of Semantic Graph Database technology for Knowledge Graph Solutions, announced AllegroGraph 7, a solution that allows infinite data integration through a patented approach unifying all data and siloed knowledge into an Entity-Event Knowledge Graph solution that can support massive big data analytics. AllegroGraph 7 utilizes federated sharding capabilities that drive 360-degree insights and enable complex reasoning across a distributed Knowledge Graph. Hidden connections in data are revealed to AllegroGraph 7 users through a new browser-based version of Gruff, an advanced visualization and graphical query builder.

To support ubiquitous AI, a Knowledge Graph system will have to fuse and integrate data, not just in representation, but in context (ontologies, metadata, domain knowledge, terminology systems), and time (temporal relationships between components of data). The rich functional and contextual integration of multi-modal, predictive modeling and artificial intelligence is what distinguishes AllegroGraph 7 as a modern, scalable, enterprise analytic platform. AllegroGraph 7 is a temporal knowledge graph technology that encapsulates a novel entity-event model natively integrated with domain ontologies and metadata, and dynamic ways of setting the analytics lens on all entities in the system (patient, person, devices, transactions, events, and operations) as prime objects that can be the focus of an analytic (AI, ML, DL) process.

https://allegrograph.com, https://franz.com

Automattic invests in open decentralized comms ecosystem Matrix

May 21, 2020 /

Automattic, the open source force behind WordPress, WooCommerce, Longreads, Simplenote and Tumblr, has made a $4.6M strategic investment into New Vector — the creators of an open, decentralized communications standard called Matrix. New Vector also developed a Slack rival (Riot) which runs on Matrix. Matrix is an open source project that publishes the Matrix open standard for secure, decentralised, real-time communication, and its Apache licensed  reference implementations.

New Vector’s decentralized tech powers instant messaging for a number of government users, including France — which forked Riot to launch a messaging app last year (Tchap) — and Germany, which just announced its armed forces will be adopting Matrix as the backbone for all internal comms; as well as for KDE, Mozilla, RedHat and Wikimedia, and others.

https://vector.im, https://matrix.org, h/t: Techcrunch

 

Luminoso announces enhancements to open data semantic network

May 20, 2020 /

Luminoso, who turn unstructured text data into business-critical insights, announced the newest features of ConceptNet, an open data semantic network whose development is led by Luminoso Chief Science Officer Robyn Speer. ConceptNet originated from MIT Media Lab’s Open Mind Common Sense project more than two decades ago, and the semantic network is now used in AI applications around the world. ConceptNet is cited in more than 700 AI papers in Google Scholar, and its API is queried over 500,000 times per day from more than 1,000 unique IPs. Luminoso has incorporated ConceptNet into its proprietary natural language understanding technology, QuickLearn 2.0. ConceptNet 5.8 features:

Continuous deployment: ConceptNet is now set up with continuous integration using Jenkins and deployment using AWS Terraform, which will make it faster to deploy new versions of the semantic network and easier for others to set up mirrors of the API.

Additional curation of crowd-sourced data: ConceptNet’s developers have filtered entries from Wiktionary that were introducing hateful terminology to ConceptNet without its context. This is part of their ongoing effort to prevent human biases and prejudices from being built into language models. ConceptNet 5.8 has also updated its Wiktionary parser so that it can handle updated versions of the French and German-language Wiktionary projects.

HTTPS support: Developers can now reach ConceptNet’s website and API over HTTPS, improving data transfer security for applications using ConceptNet.

http://blog.conceptnet.io/posts/2020/conceptnet-58/, https://luminoso.com/how-it-works

Microsoft open sources Fluid Framework – announces Fluid Workspaces and Fluid Components for Office 365

May 20, 2020 /

Microsoft introduced the first way for end users to experience the Fluid Framework in Microsoft 365 with the upcoming availability in preview of Fluid Workspaces and Fluid Components. Fluid Workspaces and Components work like the web to bring the right level of context and connection as well as seamlessly capture follow-ups in-line and edit action items with an entire team. Fluid Components and Fluid Workspaces will become available in more places over time. This initial public preview includes basic text, tables, lists, agendas and action items. These Fluid components will be available for creation in Outlook for the web and Office.com. Microsoft also announced the Fluid Framework will be made open source and hosted as a repository available on GitHub in the next month, allowing developers and creators to use infrastructure from Fluid Framework in their own applications. Coupled with the release of additional developer documentation and tooling, developers can work alongside Microsoft to create and evolve Fluid Framework as it is developed. Developers can take advantage of JavaScript APIs that give them access to collaborative, shared data structures which can be used to power collaborative experiences. They also can create Fluid components — elements that can be reused within Microsoft 365 and across applications.

https://www.microsoft.com/en-us/microsoft-365/blog/2020/05/19/microsoft-teams-fluid-framework-new-microsoft-365/

Information Model
Gilbane Advisor 6-9-21 — stacks & aggregation, JavaScript for data, news

Hugging Face dives into machine translation with release of 1,000 models

May 19, 2020 /

Hugging Face is taking its first step into machine translation this week with the release of more than 1,000 models. Researchers trained models using unsupervised learning and the Open Parallel Corpus (OPUS). OPUS is a project undertaken by the University of Helsinki and global partners to gather and open-source a wide variety of language data sets, particularly for low resource languages. Low resource languages are those with less training data than more commonly used languages like English.

Models trained with OPUS data now make up the majority of models provided by Hugging Face and the University of Helsinki’s Language Technology and Research Group the largest contributing organization. Before this week, Hugging Face was best known for enabling easy access to state-of-the-art language models and language generation models, like Google’s BERT, which can predict the next characters, words, or sentences that will appear in text. The Hugging Face Transformers library for Python includes pretrained versions of advanced and state-of-the-art NLP models like versions of Google AI’s BERT and XLNet, Facebook AI’s RoBERTa, and OpenAI’s GPT-2.

https://huggingface.co h/t: VentureBeat

Progress updates Sitefinity 13 digital experience platform

May 19, 2020 /

Progress announced the release of Progress Sitefinity 13 Digital Experience Platform (DXP). The new release includes: 

  • A new productivity environment to manage digital assets and classify content in a consistent and resource-efficient manner
  • The ability to control the look and feel of the presentation layer while delivering content to a myriad of channels. This is possible through the new page layout service that decouples content from presentation when distributed to external channels.
  • Personalization based on custom tags such as title, campaign source or other attributes as well as consistent, personalized experiences for returning visitors, regardless of the initial touch point.
  • Customer journey and online touchpoint monitoring based on machine learning, enabling marketers to receive proactive touchpoint alerts in order to spot new opportunities and improve the ROI of marketing campaigns.
  • Data-driven analytics to measure the performance of content with a comprehensive view of all personalization initiatives as well as the ability to export data directly to Google Data Studio for expanded data analysis options.

https://www.progress.com/sitefinity-cms

SDL announces integration of translation management with Veeva Vault RIM

May 19, 2020 /

SDL announced it has advanced its partnership level with Veeva Systems (“Veeva”), supporting the product life cycle for pharmaceutical and Life Sciences companies. SDL Translation Management System (TMS) is integrated with the Veeva Vault RIM Suite, a cloud-based Regulatory Information Management (RIM) system. In the biopharmaceutical sector, companies must react quickly to complex regulatory updates across multiple regions. The combination of SDL’s network of in-house certified medical translators with SDL’s translation management technology provides an integrated set of translation capabilities within Veeva Vault RIM. This integration enables Veeva Vault RIM customers to automate multilingual tasks relating to regulatory document submissions, engagement with health authorities and product registration. SDL joined Veeva Systems’ Technology Partner Program in 2018. https://www.sdl.com

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