Curated for content, computing, and digital experience professionals

Category: Computing & data (Page 29 of 88)

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.

TerminusDB launches TerminusCMS

TerminusDB announced the launch of a product called TerminusCMS that connects content, documentation, data, and processes to turn content management from a resource drain into a cross-functional semantic knowledge centre.

TerminusCMS is an open-source, headless, and developer-focused content and knowledge management system. Under the hood is an RDF graph database that connects JSON documents into a graph. It is schema-based and the schema prompts developers to model their knowledge management requirements. By modeling requirements and incorporating operational/transactional data, content, documentation, and media, businesses create an organization-wide knowledge graph. This knowledge graph bridges content and data silos but also includes business logic in the form of graph edges: the relationships between data and content.

Global organizations are complicated environments with huge supply chains, multi-regional teams, and local regulatory compliance needs. Semantic relationships between people, content, and data make the job of obtaining knowledge from day-to-day operations and transactions possible. TerminusCMS has an analytics engine that enables developers to use GraphQL as a proper graph query language. Often hidden transactional and operational data, and once siloed content, is discoverable and useable with TerminusCMS.

https://terminusdb.com/blog/category/content-knowledge/

Stilo management buys out Stilo Corporation

Stilo Corporation announced that the management team, comprised of Bryan Tipper (CEO) and Jackson Klein (CTO), have acquired 100% of Stilo Corporation’s shares. The acquisition transfers all IP, trademarks, and customer contracts as it relates to Stilo’s suite of software products:

  • OmniMark: A well-established development platform used to build high-performance content processing applications integral to enterprise publishing solutions.
  • Migrate: An automated cloud XML content conversion tool enabling organizations to improve turnaround times, reduce operating costs, and take direct control of their work schedules.
  • OptimizeR: A tool to help automate the deduplication of DITA content, improve content consistency, and help maximize the opportunity for content reuse.
  • Analyzer: An interactive platform that enables users to identify content reuse across multiple source formats, pinpoint potential cost savings, and generate compelling and detailed graphical reports.

With the change in ownership structure, Stilo Corporation will be able to significantly reduce corporate overheads and reinvest these savings into new product development.

https://www.stilo.com

Acquia announces new CDP features, pricing tiers, and delivery options

Acquia announced new Acquia Customer Data Platform (Acquia CDP) tiers and partner models, expanded industry focus, and configurability to meet the needs of organizations of all sizes. Acquia now gives organizations with smaller budgets and teams an entry into the product, built on the same platform that serves complex, global organizations. The platform now offers:

  • CDP configurations and machine learning (ML) models for unique requirements in retail, consumer goods, food and beverage, healthcare, financial services, and travel and hospitality.
  • CDP features pricing tiers to serve small, medium, and large organizations with varying customer data management needs. These can range from businesses that need a single view of the customer to those with mature CX strategies.
  • Improved scalability based on each organization’s maturity and growth in customer profiles, transactions, events, geographies, and brands.
  • Better configurability and extensibility with support for more data elements, data sources, downstream services, workflows, and schedules to serve unique business needs.
  • Acquia partners can now implement and service clients with access to enhanced training from Acquia, sandboxes and demo environments, technical resources, data implementation, and other support programs.

https://www.acquia.com

OAGi releases IOF Ontology Version 202301

OAGi (Open Applications Group, Inc.) has released the 202301 suite of IOF (Industrial Ontologies Foundry) Ontology that includes IOF Core in the Released status and the Supply Chain and the Maintenance Reference Ontologies in the Provisional Status. Please consult the README file for the detail of the release. It is available for immediate download at IOF Release 202301.

IOF Core is a foundation for domain ontologies such as maintenance and supply chain. IOF Core represents thousands of person-hours of development, review, refinement, and quality-checking. IOF has established processes modeled after the proven approach used by the EDM Council for the collaborative development, testing, and publication of a number of industry ontologies, including the Financial Industry Business Ontology (FIBO) and the Identification of Medicinal Products (IDMP). The 202301 release also contains the maintenance and the supply chain reference ontologies in the provisional state. IOF will constantly improve IOF Core while working on domain ontologies based on it. IOF invites organizations to contribute to industrial ontology work.

https://oagi.orghttps://industrialontologies.org

Weaviate releases generative search module

Weaviate announced the release of a generative search module for OpenAI’s GPT-3, and other generative AI models (Cohere, LaMDA) to follow. The module allows Weaviate users and customers to integrate with those models and eliminates hurdles that currently limit the utility of such models in business use cases.

Generative models have so far been limited by a centralized and generic knowledge base that leaves them unable to answer business-specific questions. Weaviate’s generative module removes this limitation by allowing users to specify that the model work from users’ own Weaviate vector database. The solution combines language abilities like those of ChatGPT with a vector database that is relevant, secure, updated in real time, and less prone to hallucination.

Weaviate’s open-source generative AI module is now available to download. The new model also integrates with the company’s SaaS and hybrid SaaS products for use by clients with service-level agreements.

The Weaviate vector-search engine is a “third wave” database technology. Data is processed by a machine learning model first, and AI models help process, store, and search through it. As a result, Weaviate is not limited to natural language; Weaviate can also search images, audio, video, or even genetic information.

https://weaviate.io

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/

« Older posts Newer posts »

© 2025 The Gilbane Advisor

Theme by Anders NorenUp ↑