Curated for content, computing, and digital experience professionals

Category: Computing & data (Page 21 of 80)

Computing and data is a broad category. Our coverage of computing is largely limited to software, and we are mostly focused on unstructured data, semi-structured data, or mixed data that includes structured data.

Topics include computing platforms, analytics, data science, data modeling, database technologies, machine learning / AI, Internet of Things (IoT), blockchain, augmented reality, bots, programming languages, natural language processing applications such as machine translation, and knowledge graphs.

Related categories: Semantic technologies, Web technologies & information standards, and Internet and platforms.

Expert.ai announces new features to hybrid natural language platform

Expert.ai, experts in artificial intelligence (AI) for language understanding and language operations, released new features for its Natural Language (NL) platform enhancing natural language processing (NLP) workflow support. Employing a hybrid approach that combines NL techniques – including machine learning and knowledge-based, symbolic AI – the platform leverages unstructured data, like text in documents, applications and tools, to enable organizations across vertical domains to create new business models and optimize processes.

  • The new release enables the use of Kubernetes (K8s) to store core data on-premise, implement specific security measures or comply with specific regulatory requirements.
  • The release allows integration of 3rd-party external knowledge sources including Unified Medical Language System (UMLS) like MeSH, ICD9 and ICD10 and specific resources like the ones provided by WAND Inc., a source for domain specific taxonomies.
  • Developers can now interact with expert.ai APIs using visual documentation, making it easy for back-end implementation and client-side consumption. Development teams can now visualize and interact with the API resources using a familiar Swagger interface.
  • Navigation of Knowledge Graphs (KGs): Resulting in customized navigation of knowledge models to identify the strength of related concepts and connections.

https://www.expert.ai

Zeta Alpha integrates GPT with its semantic neural engine

Zeta Alpha, a neural search and discovery platform, announced they have integrated with OpenAI’s GPT with its semantic neural search engine, to provide more reliable and explainable AI generated answers to enterprise search queries. This capability gives workers the ability to leverage GPT to access knowledge hidden in troves of internal company data.

Generative AI models like GPT tend to ‘hallucinate,’ or give answers that seem plausible, but are not factually correct. This prevents organizations from adopting AI tools for enterprise search and knowledge management. The combination of Zeta Alpha’s intelligent neural search engine and advances in GPT-3 reduce this problem by applying natural language understanding. Other enhancements include:

  • InPars v2, a GPT-powered neural search model that enables fast tuning on synthetic in-domain data without the cost of creating terminology lists and taxonomies.
  • Zeta Alpha enables users to ask a question and get contextually relevant results, automatically saving text to a spreadsheet or note for further analysis, and mapping back to the location where the document is saved for future access.
  • Visualizing the information landscape in a semantic map and interpreting it with summaries by GPT can guide knowledge workers in the right direction to answer important strategic questions.

https://www.zeta-alpha.com/

Section enhancements to help setup and scale Mastodon servers

Section, a cloud-native hosting platform, announced it is making it easier to deploy and scale a Mastodon server; in just a few clicks, developers can use Section’s global platform to ensure a responsive user experience. With the open-source Mastodon software seeing explosive growth in interest and adoption, communities find themselves looking for solutions that can help run self-hosted social networks for a geographically dispersed base of users. Section’s platform automates the management of workloads like Mastodon using easily adjusted, rules-based parameters, making it suited to easily distribute and scale these Mastodon instances globally. Simultaneously, the company has announced support for Persistent Volume storage, better enabling distributed deployment of Mastodon and other complex workloads.

Section’s global, redundant, federated cloud network and multi-cluster deployment automatically re-routes traffic to keep Mastodon instances running while also delivering the benefits of a multi-cluster environment with the ease and simplicity of deploying a single cluster. Mastodon consists of a Ruby on Rails backend, a JavaScript frontend, Sidekiq jobs management and a PostgreSQL relational database. Section distributes the data out to where users and servers are located, leveraging PolyScale’s intelligent serverless caching between the Mastodon application front-end and the back-end PostgreSQL database.

https://www.section.io/

Digital Science acquires metaphacts

Digital Science has completed the acquisition of metaphacts, which has become the newest member of the Digital Science family. Based in Germany, metaphacts is a knowledge graph and decision intelligence software company. Its main product metaphactory is a platform that supports customers in accelerating their adoption of knowledge graphs and driving knowledge democratization. metaphacts operates in the pharmaceutical, engineering, manufacturing, finance, insurance, retail and energy markets, and will be working most closely with Digital Science portfolio product Dimensions.

This acquisition will see metaphacts and Digital Science build new, joint knowledge democratization solutions, facilitating the interface between humans and machines, and helping transform raw data into human and machine-interpretable, actionable insights to power business decisions. metaphactory’s semantic knowledge modelling approach will be applied to the Dimensions linked information dataset to expose new, meaningful knowledge through metaphactory’s semantic search and graph exploration capabilities.

Customers can leverage this curated, packaged data solution and enrich and gain additional context for their proprietary knowledge. Additional integrations with complementary products from the Digital Science portfolio, such as OntoChem’s text analysis and data mining products, are also available.

https://metaphacts.comhttps://www.digital-science.com

Snowflake to acquire Mobilize.Net’s SnowConvert

Snowflake announced it has signed a definitive agreement for Snowflake to acquire SnowConvert, a suite of tools for efficiently migrating databases to the Data Cloud, from Mobilize.Net.

A key challenge with platform migrations is the code conversion required to ensure that all legacy database functionality can be moved to the cloud with minimal time and effort. The SnowConvert toolkit has long been a preferred solution for migrating customer workloads to Snowflake, using sophisticated automation techniques that reduce the need for manual coding and help ensure migration projects are successful.

After converting more than 1.5 billion lines of code1 with SnowConvert, the toolkit has proven to significantly reduce migration effort and improve the speed of migrating legacy databases to Snowflake through the built-in analysis capabilities at a data-type and procedure level, as well as matching to Snowflake native types. In addition to legacy database conversions, SnowConvert also converts workloads written in Scala and Python, making it easy to transfer that code to Snowflake’s Snowpark developer environment.

Closing of the acquisition is subject to the receipt of required regulatory approvals and other customary closing conditions. SnowConvert will expand Snowflake’s professional services footprint in Costa Rica, Colombia, and Bellevue, Washington.

https://www.snowflake.com/https://www.mobilize.net

One AI Language solution for developers now in AWS Marketplace

One AI, a platform that enables developers to add language AI to products and services, announced it has entered into a collaboration with Amazon Web Services (AWS). The relationship allows One AI to offer its Software-as-a-Service (SaaS) language AI solutions in the AWS Marketplace, which makes it easy for customers to find, test, buy and deploy software on AWS.

One AI’s advanced natural language processing (NLP) platform allows developers to analyze and process large amounts of text, audio and video data through an application programming interface (API) for a range of use cases, including analyzing and understanding email threads for customer sentiment or reactions, extracting important points in a conversation, examining and breaking down all data from call centers, and determining positive and negative feedback on various subjects from social media posts and product reviews.

Businesses and developers can create their own Language Skills or choose from a library that includes capabilities such as advanced data extraction, transcription, summarization, sentiment analysis, emotion recognition, and action item detection. The library of Language Skills allows businesses and developers to tailor the solution to their specific needs and use-cases.

https://www.oneai.comhttps://aws.amazon.com/marketplace/pp/prodview-div4d7ckhwkqe

Lexalytics expands NLP capabilities across foreign languages

Lexalytics, an InMoment company and provider of AI-based, natural language processing (NLP) technology, announced it has improved accuracy and expanded NLP capabilities for 11 non-English languages. Now global brands and businesses can analyze unstructured data natively and benefit from full-featured text analytics to better understand their customers and make more informed decisions across 31 total languages.

While some companies offer a range of NLP features in languages other than English, few cover the sheer number that Lexalytics supports. Many rely on machine translation before processing which can decrease the accuracy of the analysis. Because Lexalytics processes text data in its native language, it can take into account specific nuances and complexities of that language, and better understand the meaning and context of the text.

Lexalytics has expanded feature coverage to include entities, themes, summarization, sentiment (at the document and item level), categorization, and part-of-speech tagging for the following 11 languages: Arabic, Danish, Finnish, Hebrew, Norwegian, Polish, Russian, Swedish, Thai, Turkish and Vietnamese. Lexalytics continues to offer full-featured support for an additional 20 languages. These expanded language capabilities are available for customers of Lexalytics’ Salience, Semantria API, and Spotlight application, as well as InMoment’s XI Platform.

https://www.lexalytics.com/

Solodev launches serverless CMS

Solodev announced the launch of Solodev Serverless CMS: a cloud-native enterprise content management system that runs serverless on AWS. Solodev Serverless CMS is fully deployed on Amazon Web Services (AWS) and is capable of running high-availability workloads.

Solodev Serverless CMS delivers a composable set of cloud-based services to support traditional and headless websites and apps, including Jamstack frameworks like React. Solodev Serverless CMS utilizes container technologies, including Docker, Kubernetes, AWS Fargate, all instantly deployed on the AWS infrastructure. Solodev Serverless CMS also delivers cloud-first features such as dynamic modules, a drag-and-drop page builder, furl management, and advanced form capabilities, including security and fraud prevention. Solodev Serverless CMS users will also have access to the Solodev Marketplace, featuring hundreds of third-party platforms like Salesforce and cloud services from AWS.

Solodev Serverless includes everything from Git to container orchestration with AWS Fargate, cloud-based IAM with AWS Cognito, database services like AWS DynamoDB, monitoring via Amazon CloudWatch, and more. Powered by Solodev Serverless, Solodev Serverless CMS is now available and can be procured on-demand through the AWS Marketplace, via public sector schedule contracts, and soon through the Solodev Marketplace.

https://www.solodev.com

« Older posts Newer posts »

© 2024 The Gilbane Advisor

Theme by Anders NorenUp ↑