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Category: Content management & strategy (Page 20 of 471)

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/

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

Bloomreach and Shopware partner

Bloomreach, a digital experience and content management platform provider and Shopware, an omnichannel digital commerce platform for e-commerce businesses, announced they have partnered to empower businesses to unlock new growth across their e-commerce experience. The partnership will enable businesses built on the Shopware commerce platform to enhance their digital experience across every touchpoint using Bloomreach’s data and AI-driven solutions. Businesses worldwide will be better poised to drive greater personalization for every customer.

Shopware is an open commerce platform for mid-market and lower enterprise merchants across EMEA, with comprehensive solutions for B2C and B2B businesses. Through its partnership with Bloomreach, Shopware will expand its global presence.

Bloomreach empowers businesses to deliver personalized experiences across their digital channels by combining unified customer and product data with AI-optimization. For e-commerce businesses built on the Shopware platform, the addition of Bloomreach’s marketing automation, product discovery, and content management solutions will allow them to enhance customer journeys by creating personalized, end-to-end e-commerce experiences, fueled by the AI built into all Bloomreach products and Shopware’s AI Copilot program.

https://www.bloomreach.comhttps://www.shopware.com/en/

Acquia enhances digital experience platform for personalization

Acquia has enhanced the capabilities of its digital experience platform, Acquia DXP, to create more personalized experiences for customers. The combination of the customer data platform (Acquia CDP) and Acquia Personalization enables customers to create digital experiences based on knowledge gained from a broader array of channels, making the most of their anonymous, known, and understood customer data.

  • Personalizing customer journeys of anonymous visitors as they become known and understood. By continuously collecting behavioral data, marketers can assemble it into a single profile view. This improves as additional identifying information becomes available, allowing the visitor to progress from anonymous to known to understood.
  • Consolidating all IDs associated with a unique individual, regardless of channel and device. As a customer moves among channels, multiple tracking IDs are generated through interactions with different systems and potentially from multiple client devices.
  • Creating responses to customer actions that take into account interactions at every touch point. Use behavioral data from the website to make product recommendations based on past interactions, even before the customer has been identified.

Acquia CDP and Acquia Personalization are available standalone or within Acquia DXP. Both products support composable customer data strategies through integrations with other Acquia and third-party marketing products.

https://www.acquia.com/newsroom/press-releases/acquia-enhances-digital-experience-platform-power-omnichannel-customer

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