The Gilbane Advisor

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Month: April 2021 (Page 2 of 5)

Strapi releases Strapi CMS 3.6

April 22, 2021 /

Strapi, provider of an open-source “headless” content management system (CMS), announced the release of Strapi v3.6, including a content internationalization (i18n) feature in the Community Edition. Community users can now manage their content in multiple languages. Strapi provides “backend” functionality for web and mobile applications or any type of IoT devices. It is also particularly suitable for websites designed according to the Jamstack model (JavaScript, API and pre-rendered markup, without web servers). Strapi is designed to work with front-end frameworks including React, Gatsby, Vue.js, Next.js or any static site generator, and it supports many databases and can be requested using both REST and GraphQL APIs. Community users can:

  • Create multilingual websites or apps: Users can create and manage content in multiple languages and for multiple locales.
  • Personalize and localize content: Users are able to customize messages and content delivered to each target audience taking into account their language and geographical location.
  • Set up efficient publishing workflows: Through integrations with the Draft & Publish system and the Role Based Access Control feature, users can manage editing and publishing permissions per locales in their admin panel.
  • API evolution: New API to let the users fetch content by locale.

https://strapi.io

SoundHound adds 22 languages to Houndify Voice AI platform

April 21, 2021 /

SoundHound Inc., a provider of voice AI and conversational intelligence technologies, has announced the expansion of its Houndify Voice AI platform to 22 languages. Now, developers employing Houndify can add conversational intelligence to their products and services for users across the globe. The company also announced plans to add over 100 languages and variations as part of its commitment to provide the most comprehensive voice AI solution to brands and users everywhere. Companies seeking to create omnichannel voice experiences can now access the majority of the languages their customers speak, including Spanish, Portuguese, French, Indian-accented English, German, Dutch, Italian, Korean, Japanese, Mandarin, Russian, Polish, Swedish, Arabic, Turkish, Hebrew, and more.

Houndify’s voice recognition is the result of a combination of Speech-to-Meaning and Deep Meaning Understanding technologies. Advancements in Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU) enable the Houndify Voice AI platform to track speech in real-time, understanding the meaning even before the user has finished speaking and delivering the smartest voice experience possible. Developers interested in exploring the Houndify platform can visit Houndify.com to register for a free account or visit our blog.

http://www.soundhound.com

Qumu introduces live captioning for enterprise video

April 21, 2021 /

Qumu Corporation, a provider of cloud-based enterprise video technology, announced the development and release of its live captioning capabilities. The new release of Qumu Cloud provides artificial intelligence (AI)-based translation of voice to on-screen captions for video viewers. Developed by Qumu’s cloud engineering team, it is available to all Qumu customers and included in the license subscription.

Qumu’s new live captioning is designed from the ground up to enable reliable, scalable hosting of virtual events of any size. The feature is currently available in two languages, English and Japanese, with the plan to quickly expand to additional languages. Qumu’s on-demand, or asynchronous, captioning remains available in over 25 languages. Qumu’s live captioning is immediately available as part of the Qumu offering, without the need to upgrade or add on services. To maintain top standards, Qumu is working closely with customers, including a national pharmacy and COVID-19 vaccine administer, to improve the accuracy, viewing and user experience with multiple upgrades planned throughout the year.

https://qumu.com/

Google DocAI now generally available

April 21, 2021 /

Google announced the availability of the latest releases of their Document (Doc) AI platform, Lending DocAI and Procurement DocAI. Most companies are still manually entering data and reliant on guesswork to make sense of it all as the volume and variety of data explodes. Organizations are also leaving heaps of value on the table in the form of new and better customer experiences that can be unlocked with artificial intelligence (AI) applied to documents. The DocAI platform, based on Google’s AI expertise, bring powerful and useful solutions to these challenges. Under the hood are Google’s technologies:

  • Computer vision (including OCR) and Natural Language Processing (NLP) that creates pre-trained models for high-value, high-volume documents.
  • Google Knowledge Graph to validate and enhance the fields in your documents.
  • Training and creation of your own custom document models.
  • Human interaction with AI to ensure accuracy where needed.

The new specialized parsers for Lending and Procurement DocAI can be used alongside our existing AutoML Text & Document Classification and AutoML Document Extraction services. Next up is the general availability of Human-in-the-Loop AI, a new DocAI feature that will help companies achieve higher document processing accuracy with the assurance of human review.

https://cloud.google.com/blog/products/ai-machine-learning/get-more-value-from-your-documents-with-docai-and-industry-solutions

Sinequa launches Intelligent Search Platform on Microsoft Azure

April 20, 2021 /

Sinequa, a provider of Intelligent Enterprise Search, announced the launch of Sinequa for Microsoft Azure to better serve customers who want to take advantage of Azure and its global reach. Organizations that use Azure can now access Sinequa’s enhanced version of a self-managed Intelligent Search platform.

Sinequa for Azure enables digital workers to stop sifting for information across Enterprise applications and brings the knowledge and insight to the users no matter the source, format, language, or location. Integrated with Microsoft 365 (Microsoft Teams, Microsoft SharePoint, etc.), Sinequa also seamlessly extracts valuable information from applications such as Salesforce, Box, Dropbox, OpenText, Documentum, file shares, databases, and other data sources, by leveraging a portfolio of over 200 out-of-the-box connectors.

Sinequa for Azure integrates Azure Cognitive Services to enable organizations to ingest all of their enterprise data sources, transform that data into searchable information, and enable users to get precise insights to natural language queries. Sinequa for Azure benefits include: reduced architecture costs, faster, indexing, more secure platform; easier, quicker deployment, optimized for Azure, environmentally friendly. Sinequa for Azure is now available in the Azure Marketplace.

https://www.sinequa.com/intelligent-enterprise-search-optimized-for-azure/

Moz launches Performance Metrics suite for page experience

April 20, 2021 /

Moz, Inc., provider of search engine optimization technology, announced the launch of a Performance Metrics suite, a new beta feature within the Site Crawl toolset in Moz Pro. The Performance Metrics suite saves Moz Pro customers time with the ability to analyze thousands of URLs of their choosing directly within their SEO platform. The new feature also provides insights on how to improve overall on-site user experience.

The launch comes ahead of Google’s planned algorithm changes. Beginning this summer, ranking factors will include a new signal called “Page Experience,” incorporating Core Web Vitals, in addition to basic search signals. Core Web Vitals are a subset of factors that Google considers important in a page’s overall user experience in relation to a site’s loading speed, interactivity and stability. The Performance Metrics beta pulls in all Core Web Vitals using Google’s Lighthouse API, as well as additional performance metrics that can improve the page experience for end users. Customers are able to:

  • Analyze thousands of pages in bulk per month
  • Compare mobile versus desktop performance scores
  • View performance data alongside additional search data
  • Understand opportunities for performance improvement
  • Receive insights from Moz’s Search Scientists on how to fix issues and why they matter

https://moz.com

Widen and 1WorldSync partner on 360° product images

April 20, 2021 /

Widen, maker of digital asset management (DAM) and product information management (PIM) software, and 1WorldSync, a provider of omnichannel product content solutions, announced the formation of an image capture partnership. Snap36, a recent acquisition of 1WorldSync focused on 360° product experiences, will serve as Widen’s partner for DAM and PIM clients who need 360° spin imagery to provide 3D experiences for e-commerce. The partnership will enable B2B and B2C brands to rapidly create, upload, tag, and publish 360° imagery.

Snap36’s physical-to-digital content creation process that leverages robotic equipment and workflow software. The resulting “spinset” of 24 to 92 images creates a flip-book effect as the shopper rotates the image. It also can capture the motion of an object like an opening car door or reclining chair.

360° spinsets can be added to Widen’s DAM+PIM system, the Widen Collective, where product data, marketing content, and digital assets are assembled before being listed on e-commerce platforms. The Collective natively supports 360° images, meaning that brands do not require additional tools. Clients that use the 1WorldSync Item Management platform for syndication to retailers and distributors can pull 360° product images and other digital assets directly from the Collective by simply providing URLs that point to the Collective.

https://www.widen.com ▪︎ https://www.1worldsync.com

Ontotext Platform 3.4 brings better search and aggregation in knowledge graphs

April 15, 2021 /

Ontotext announced Ontotext Platform 3.4 for better search and aggregation in knowledge graphs. Key to the Ontotext Platform is the declarative approach for access and management of large-scale knowledge graphs (KG). This allows engineering teams to define specific GraphQL interfaces to read and write data over parts of a knowledge graph and let the Platform implement an efficient translation of GraphQL to SPARQL.

Ontotext Platform 3.4 combines GraphDB, Elasticsearch and GraphQL by enabling the definition, automatic synchronization and querying of indices to boost the performance of specific queries. The Workbench front-end tool of the Platform features a new generic search interface for KG exploration and navigation. The new version of the Semantic Object service delivers better performance to execute big and data-intensive GraphQL queries on top of GraphDB.

The new Semantic Search Service enables software engineers to easily accomplish some of the capabilities over a knowledge graph that are most required by SMEs such as Full-text Search (FTS), Auto-complete/typeahead (related concepts and controlled vocabulary), Auto-suggest (related keywords and phrases), Faceted search, complex dashboards using different statistical and/or bucket aggregations, etc. The provided GraphQL endpoint will enable users not only to search in the data but also to retrieve the data for the result list directly from Elasticsearch.

https://www.ontotext.com

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

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