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Category: Content management & strategy (Page 3 of 462)

This category includes editorial and news blog posts related to content management and content strategy. For older, long form reports, papers, and research on these topics see our Resources page.

Content management is a broad topic that refers to the management of unstructured or semi-structured content as a standalone system or a component of another system. Varieties of content management systems (CMS) include: web content management (WCM), enterprise content management (ECM), component content management (CCM), and digital asset management (DAM) systems. Content management systems are also now widely marketed as Digital Experience Management (DEM or DXM, DXP), and Customer Experience Management (CEM or CXM) systems or platforms, and may include additional marketing technology functions.

Content strategy topics include information architecture, content and information models, content globalization, and localization.

For some historical perspective see:

https://gilbane.com/gilbane-report-vol-8-num-8-what-is-content-management/

Adobe announces AI Assistant in Reader and Acrobat

Adobe introduced AI Assistant in beta, a new generative AI-powered conversational engine in Reader and Acrobat. Integrated into Reader and Acrobat workflows, AI Assistant instantly generates summaries and insights from long documents, answers questions and formats information for sharing in emails, reports and presentations.

AI Assistant leverages the same artificial intelligence and machine learning models behind Acrobat Liquid Mode, technology that supports responsive reading experiences for PDFs on mobile. These proprietary models provide a deep understanding of PDF structure and content, enhancing quality and reliability in AI Assistant outputs.

Acrobat Individual, Pro and Teams customers and Acrobat Pro trialists can use the AI Assistant beta to work more productively today. No complicated implementations required. Simply open Reader or Acrobat and start working with the new capabilities.

Reader and Acrobat customers will have access to the full range of AI Assistant capabilities through a new add-on subscription plan when AI Assistant is out of beta. Until then, the new AI Assistant features are available in beta for Acrobat Standard and Pro Individual and Teams subscription plans on desktop and web in English, with features coming to Reader desktop customers in English over the next few weeks at no additional cost.

https://news.adobe.com/news/news-details/2024/Adobe-Brings-Conversational-AI-to-Trillions-of-PDFs-with-the-New-AI-Assistant-in-Reader-and-Acrobat/default.aspx

Ontotext releases Ontotext Metadata Studio 3.7

Ontotext, a provider of enterprise knowledge graph (EKG) technology and semantic database engines, announced the availability of Ontotext Metadata Studio (OMDS) 3.7, an all-in-one environment that facilitates the creation, evaluation, and quality improvement of text analytics services. This latest release provides out-of-the-box, rapid natural language processing (NLP) prototyping and development so organizations can iteratively create a text analytics service that best serves their domain knowledge. 

As part of Ontotext’s AI-in-Action initiative, which helps data scientists and engineers benefit from the AI capabilities of its products, the latest version enables users to tag content with Common English Entity Linking (CEEL), text analytics service. CEEL is trained to tag mentions of people, organizations, and locations to their representation in Wikidata – the public knowledge graph that includes close to 100 million entity instances. With OMDS, organizations can recognize approximately 40 million Wikidata concepts, and  streamline information extraction from text and enrichment of databases and knowledge graphs. Organizations can:

  • Automate tagging and categorization of content to facilitate more efficient discovery, reviews, and knowledge synthesis. 
  • Enrich content, achieve precise search, improve SEO, and enhance the performance of LLMs and downstream analytics.
  • Streamline information extraction from large volumes of unstructured content and analyze market trends.

https://www.ontotext.com/products/ontotext-metadata-studio/

Optimizely integration with Writer now live

Optimizely, a digital experience platform (DXP) provider, has announced that a new product integration with Writer, the enterprise-focused generative AI platform, is now live. The integration comes after the official partnership announcement in October and equips the Optimizely Content Marketing Platform (CMP) with AI capabilities that enable joint customers to use industry-specific LLMs to develop content that is relevant, compliant, and consistent with their existing brand tone and voice, and tailored to industry audiences to simplify the content marketing lifecycle.

Writer’s integration into Optimizely will leverage the Palmyra, the Writer-built family of large language models, to enhance AI-powered content generation capabilities and chat features across Optimizely applications. Palmyra LLMs are transparent and auditable, top-scoring on benchmarks like Stanford HELM, and keep customers’ data private. They are coupled with the Writer-built graph-based RAG Knowledge Graph, AI guardrails to enforce brand and compliance rules, and a flexible application layer that serves a wide range of use cases, resulting in an AI platform that meets unique enterprise needs.

https://www.optimizely.comhttps://writer.com

Otter.ai announces Meeting GenAI

Otter.ai, an AI-powered meeting assistant introduced Meeting GenAI, a set of AI tools that unlocks insights of your company’s meeting history. Otter is already integrating advanced GenAI across its platform, elevating the role of meeting minutes from passive records to dynamic repositories of collective knowledge and actionable insights. Highlights of Meeting GenAI: 

  • Otter AI Chat across all your meetings: Get answers to questions and generate content like emails and status updates using Otter AI Chat which now can access all of your meetings, not just a single meeting.
  • AI Chat in Channels: Chat with Otter AI Chat and team members using a collaborative AI Chat, making it easier to keep the team aligned and drive work forward with greater transparency and speed.
  • AI Conversation Summary View: Identify action items with assignments in real time and get a live narrative summary to ensure swift execution and accountability.

The heart of Meeting GenAI lies in the new multi-conversation capabilities for Otter AI Chat. This feature transcends AI chat focused on individual meetings by allowing users to tap into the collective wisdom gleaned from past meetings no matter which platform those discussions happened.

https://otter.ai

Digimarc releases their next-generation digital watermarks

Digimarc Corporation a provider of digital watermarking technologies, announced the availability of its next-generation digital watermarks featuring more advanced security and greater access control. Digimarc’s next-generation digital watermarks have also been optimized to efficiently address multiple use cases while simultaneously delivering pronounced improvements in both imperceptibility and performance. The latest improvements include:

Advanced Security — Digimarc digital watermarks leverage enhanced encryption techniques requiring an authorized private key to detect and decode, strengthening data security by ensuring information is protected in transit to and from the Digimarc Illuminate platform (cloud or edge server).

Greater Control — Data access controls allow companies to provide different audiences with different information for different purposes. Access to the data associated with the digital watermarks can also be limited, revoked, or changed at any point and in real time.

Improved Adaptability — Digimarc digital watermarks retrieve dynamic data from the Digimarc Illuminate platform (cloud or edge server), delivering specific information based on context, purpose, and permissions.

Increased Imperceptibility — Our latest advancements in digital watermarking technology deliver increased covertness and more robust reading performance.

Extended Distance Detection — Digimarc digital watermarks are optimized to leverage improvements in machine vision and inspection camera technology to increase distance reading.

https://www.digimarc.com/press-releases/2024/02/07/digimarc-releases-next-generation-digital-watermarks

Join Bluesky today (bye, invites!)

Via the Bluesky Blog…

Bluesky is building an open social network where anyone can contribute, while still providing an easy-to-use experience for users. For the past year, we used invite codes to help us manage growth while we built features like moderation tooling, custom feeds, and more. Now, we’re ready for anyone to join.

To mark the occasion, we teamed up with Davis Bickford, an artist on the network, to share why we’re excited about Bluesky. And if deep dives are more your style, we worked with Martin Kleppman, author of Designing Data-Intensive Applications and technical advisor to Bluesky, to write a paper that goes into more detail about the technical underpinnings of Bluesky.

In the coming weeks, we’re excited to release the labeling services which will allow users to stack more options on top of their existing moderation preferences. This will allow other organizations and people to run their own moderation services that can account for industry-specific knowledge or specific cultural norms, among other preferences.

When you log in to Bluesky, it might look and feel familiar — the user experience should be straightforward. But under the hood, we’ve designed the app in a way that puts control back in your hands. Here, your experience online isn’t controlled by a single company.

This month, we’ll be rolling out an experimental early version of “federation,” or the feature that makes the network so open and customizable.

https://bsky.social/about/blog/02-06-2024-join-bluesky

Franz announces Gruff 9

Franz Inc., an early innovator in Artificial Intelligence (AI) and supplier of knowledge graph technology for Neuro-Symbolic AI applications, announced Gruff 9, a web-based advanced knowledge Graph visualization tool that offers no-code queries, hypergraphs, dynamic graph displays, LLM integration and RDF* (RDFStar) features for building next-generation AI applications.

Gruff 9 provides users the ability to embed natural language LLM queries in SPARQL and visualize and explore the connections displayed in the results. Gruff now provides a unique visualization solution for the emerging RDF* standard from W3C.  The RDF* standard is an improvement over the labeled property graph approach (supported by other vendors) as it allows full hypergraph capabilities.

Gruff 9 is included with AllegroGraph Cloud, Franz’s hosted version of its Neuro-Symbolic AI platform. Gruff and AllegroGraph Cloud offers users a convenient and easy on-ramp to building advanced AI applications.

Franz Inc. recently announced AllegroGraph 8, its Neuro-Symbolic AI Platform that incorporates Large Language Model (LLM) components directly into SPARQL along with vector generation and vector storage for a comprehensive AI Knowledge Graph solution.

https://allegrograph.com/products/gruff/

Mindbreeze and Ariza Content Solutions partner

Mindbreeze, a provider of appliances and cloud services in the field of information insight, and Ariza Content Solutions have created a partnership to employ and enhance insights & search experiences and provide companies with content management.

While traditional content workflows encompassed content creation, through management of editorial and production processes, to final publication and delivery to various distribution channels, today content creators are learning the value of connected, searchable data to allow for deeper connections in their content. To accomplish this goal, Ariza employs solutions incorporating AI-driven insight engines like Mindbreeze InSpire. Insight engines enhance the search experience giving customers, both external and internal access to knowledge and insight into their content.

Mindbreeze InSpire, an insight engine, uses traditional search methods and sophisticated data analysis approaches to interpret business information and answer critical business questions. Equipped with machine learning and AI capabilities, the Mindbreeze InSpire solution provides a foundation for successful enterprise knowledge management.

https://inspire.mindbreeze.comhttps://www.arizacs.com

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