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Category: Content management & strategy (Page 4 of 463)

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/

DataStax and LlamaIndex partner to make building RAG applications easier

DataStax announced its retrieval augmented generation (RAG) solution, RAGStack, is now generally available powered by LlamaIndex as an open source framework, in addition to LangChain. DataStax RAGStack for LlamaIndex also supports an integration (currently in public preview) with LlamaIndex’s LlamaParse, which gives developers using Astra DB an API to parse and transform complex PDFs into vectors in minutes. 

LlamaIndex is a framework for ingesting, indexing, and querying data for building generative AI applications and addresses the ingestion pipelines needed for enterprise-ready RAG. LlamaParse is LlamaIndex’s new offering that targets enterprise developers building RAG over complex PDFs; it enables clean extraction of tables by running recursive retrieval, promising more accurate parsing of the complex documents often found in business.

RAGStack with LlamaIndex offers a solution tailored to address the challenges encountered by enterprise developers in implementing RAG solutions. Benefits include a curated Python distribution available on PyPI for integration with Astra DB, DataStax Enterprise (DSE), and Apache Cassandra, and a live RAGStack test matrix and GenAI app templates.

Users can use LlamaIndex alone, or in combination with LangChain and their ecosystem including LangServe, LangChain Templates, and LangSmith.

https://www.datastax.com/press-release/datastax-and-lamaIndex-partner-to-make-building-rag-applicationseasier-than-ever-for-genai-developers

Acquia enhances brand management capabilities

Acquia announced new integrations for its digital asset management solution, Acquia DAM, that expand its brand management capabilities. These integrations — with Acquia Campaign Studio, Adobe Stock, and Google Translate reduce the complexity of maintaining a consistent brand experience across digital channels.

Acquia DAM is now integrated with Acquia Campaign Studio, the company’s marketing automation solution. The integration leverages Acquia’s instant search connector tool, so once a user is authenticated in the DAM connector within Campaign Studio, they can search, view, and select the asset of their choice within Campaign Studio’s email and landing page builders. Pictures in email and landing page builders dynamically change when updated in Acquia DAM.

An Adobe Stock integration automatically syncs a customer’s newly licensed Adobe Stock assets with Acquia DAM, bringing in essential metadata and offering smoother workflows. Creative pros can choose which types of Adobe Stock assets to monitor and sync, and the integration handles file copying and categorization in Acquia DAM. Customers can now use Google Translate to automatically translate text from selected metadata fields within Acquia DAM. The DAM automatically repopulates these fields with translated content in up to 20 languages.

https://www.acquia.com/newsroom/press-releases/acquia-enhances-brand-management-capabilities

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

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