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Category: Content management & strategy (Page 22 of 473)

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/

CrafterCMS release Version 4.1

CrafterCMS, an open-source headless CMS for enterprises, announced the general release of version 4.1. The new release includes three major new capabilities: 1) a new content authoring Dashboard, 2) an improved Sidebar in the content authoring experience, and 3) a switch to OpenSearch as the embedded search engine both for the content authoring experience, and for building personalized digital experiences and other search-driven content applications via the CrafterCMS Search APIs. OpenSearch replaces Elasticsearch as the built-in search engine for CrafterCMS going forward.

With version 4.1, CrafterCMS provides enterprises with a modern headless CMS for their composable digital experience platform (DXP). Pre-built plug-ins, integrations and blueprints from the CrafterCMS Marketplace may be used by administrators to compose tailored authoring experiences for a variety of content management use cases, and by content creators to compose engaging digital experiences for end users through an drag-and-drop user interface. CrafterCMS also provides a Git-based content repository and support for DevContentOps.

CrafterCMS version 4.1 community edition is available immediately for free download under the GPL v3 open-source license, and the enterprise edition is available for customers and certified partners through the CrafterCMS customer support portal.

https://craftercms.com

Brightspot CMS integrates OpenAI

Brightspot CMS, a content management system for global organizations to deliver digital experiences, announced a seamless integration with OpenAI, enabling organizations to elevate their content creation and personalization efforts. This integration helps content authors, editors, marketers and communications professionals to produce high-quality content that resonates with their target audiences. With the integration of OpenAI into Brightspot CMS, content creators can leverage AI-assisted suggestions for headlines, subheadlines and full body text, enabling them to expedite the content-creation process and meet tight deadlines.

OpenAI’s content-generation capabilities empower users to create variations of their content, ensuring that the right message reaches the right audience at the right time. With natural language queries and a search function that yields answers content creators can swiftly access and utilize specific database information, reducing time spent on manual searches. By automating the search and interpretation process, OpenAI’s tools free up content creators to focus on creativity, accelerating productivity and improving output quality.

https://www.brightspot.com/ai

Bloomreach supports OAuth 2.0 authentication

Bloomreach, provider of a Commerce Experience Cloud, announced the support of Open Authorization (OAuth) 2.0 authentication for webhooks, an industry standard protocol for authentication that enables third-party applications to access a user’s data without sharing their credentials. Businesses will now have the ability to integrate Bloomreach Engagement with third-party applications that require OAuth through webhooks, safely connecting real-time data in and out Bloomreach and boosting marketing personalization without the need to switch platforms.

The use of webhooks plays a crucial role in facilitating real-time data synchronization and triggering actions across multiple marketing channels. By leveraging webhooks effectively, marketers can deliver personalized, timely, and consistent experiences across touchpoints, to improve customer engagement and satisfaction. As marketers deliver these enhanced experiences, the OAuth 2.0 authentication method for webhooks maintains the security and integrity of the exchanged data. By enabling controlled access to protected resources, it mitigates the risk of unauthorized access and data breaches.

OAuth 2.0 authentication via webhooks opens the door for brands to frictionlessly integrate Bloomreach Engagement with third-party platforms and applications in their tech stack that require this authentication method. This includes Microsoft Azure, Commercetools, Criteo Marketing, Salesforce Marketing Cloud, Listrak, and Talkdesk, among others.

https://www.bloomreach.com/en/news/2023/bloomreach-now-supports-frictionless-integrations-with-third-party-applications-requiring-oauth-2.0-authentication-method

Databricks announces LakehouseIQ

Databricks announced LakehouseIQ, a knowledge engine that learns what makes an organization’s data, culture and operations unique. LakehouseIQ uses generative AI to understand jargon, data usage patterns, organizational structure, and more to answer questions within the context of a business. Anyone in an organization can interact with LakehouseIQ using natural language to search, understand, and query data. LakehouseIQ is fully integrated with Databricks Unity Catalog to help ensure that democratizing access to data adheres to internal security and governance rules.

LakehouseIQ learns from signals within an organization using schemas, documents, queries, popularity, lineage, notebooks, and BI dashboards to gain intelligence as it answers more queries. LakehouseIQ helps employees get immediate answers to questions without requiring that they possess the technical skill required by traditional data analysis tools. The engine understands their unique business jargon and context to more accurately interpret the intent of the question, and can even generate additional insights that could spur new questions or lines of thinking. With LakehouseIQ, every employee, not just data scientists, can unlock the full potential of internal corporate data to make better, more informed decisions. The Databricks Assistant, powered by LakehouseIQ, is in preview.

https://www.databricks.com/blog/introducing-lakehouseiq-ai-powered-engine-uniquely-understands-your-business

Snowflake unveils large language model to extract data from documents

Snowflake announced new advancements to its single, unified platform that make it easier for organizations to get value from all of their data. With Document AI (private preview), Snowflake is launching a new large language model (LLM) built from Applica’s generative AI technology to help customers understand documents and put their unstructured data to work. Building on Snowflake’s support for unstructured data, Snowflake’s built-in Document AI will make it easier for organizations to understand and extract value from documents using natural language processing.

Document AI stems from Snowflake’s acquisition of Applica (Sept. 2022) and leverages its purpose-built, multimodal LLM. By integrating this model within Snowflake’s platform, organizations will be able to easily extract content like invoice amounts or contractual terms from documents and fine-tune results using a visual interface and natural language. Customers are using Document AI to help their teams be smarter about their businesses, and enhance user productivity in secure and scalable ways. Snowflake is starting with Document AI and plans to expand these capabilities to more types of unstructured data.

https://www.snowflake.com/news/snowflake-unveils-new-large-language-model-to-extract-deeper-insights-from-documents-while-continuing-to-advance-platform-speed-and-performance/

Drupal 10.1 is now available

Drupal released Drupal 10.1, which makes customizing the look of your site easier, adds support for decoupled navigation, improves content modeling and editing, block management, performance, and more. A sample of the changes include:

  • New APIs for retrieving menus configured in Drupal using the Linkset standard.
  • Various CKEditor improvements including an autoformat feature.
  • A unified entity revision editing experience was added. This makes prior versions of content easier to manage regardless of whether they are in content blocks or nodes or other entities.
  • You can create custom blocks directly under Structure in the administrative interface. More granular permissions allow granting block management per type and revisions to block content can be reviewed and rolled back.
  • BigPipe supports serving interface previews for delayed content, which makes the user experience smoother.
  • HTML pages and AJAX responses can now be served before dynamically processed JavaScript and CSS assets have been generated.
  • The request type used for making AJAX requests can be configured allowing certain dynamic requests to be cached using render and edge caching capabilities, enabling faster response times.
  • Drupal 10.1 is also approved as a Digital Public Good (DPG) by the Digital Public Good Alliance (DPGA).

https://www.drupal.org/project/drupal/releases/10.1.0

MongoDB launches five new capabilities for MongoDB Atlas

MongoDB, Inc. announced five new products and features for its developer data platform, MongoDB Atlas, that make it faster and easier for customers to build modern applications, for any workload or use case. The new products and features include:

  • MongoDB Atlas Vector Search simplifies bringing generative AI and semantic search into applications for highly engaging end-user experiences.
  • MongoDB Atlas Search Nodes now provide dedicated infrastructure for search use cases so customers can scale independently of their database to manage unpredictable spikes and high-throughput workloads with greater flexibility and operational efficiency.
  • MongoDB Atlas Stream Processing transforms building event-driven applications that react and respond in real-time by unifying how developer teams work with data-in-motion and data-at-rest.
  • MongoDB Atlas Time Series collections now make time series workloads more efficient for use cases from predictive maintenance for factory equipment to automotive vehicle-fleet monitoring to financial trading platforms.
  • New multi-cloud options for MongoDB Atlas Online Archive and Atlas Data Federation enable customers to tier and query data in Microsoft Azure and in addition to Amazon Web Services.

Together, these new features for can speed up their pace of innovation by standardizing many types of workloads on a single developer data platform across the enterprise.

https://www.mongodb.com/press/mongodb-launches-five-new-capabilities-for-mongodb-atlas-to-build-new-classes-of-applications

Databricks announces Lakehouse Apps

Databricks introduced Lakehouse Apps, a new way for developers to build native, secure applications for Databricks. Lakehouse Apps will enable Databricks customers to have easy access to a wide range of applications that run entirely inside their Lakehouse instance, using their data, with the full security and governance capabilities of Databricks. Lakehouse Apps will give users safe and easy access to a wide range of new applications and reduce time and effort to adopt, integrate, and manage data and AI applications.

By running directly on a customer’s Databricks instance, these apps can easily and securely integrate with the customer’s data, use and extend Databricks services, and enable users to interact with a single sign-on experience without data ever leaving the customer’s instance. Developers can use any technology and language of their choice to build apps and aren’t limited to a proprietary framework.

The company also introduced new data sharing providers and AI model-sharing capabilities to the Databricks Marketplace, a marketplace for data, AI, and applications.

Databricks Marketplace will be generally available on June 28, 2023. Lakehouse Apps and AI model sharing in Databricks Marketplace are expected in preview in the coming year.

https://www.databricks.com

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