Agility CMS, an API-first headless CMS, announced the general availability of its GraphQL API. The introduction of GraphQL supports developer productivity and enables fast, agile development of enterprise-grade websites and applications. Agility CMS launched v1 of their GraphQL API, which provides users with a GraphQL Playground Interface where they can query content from their Agility CMS Instance, using a GraphQL schema based on its defined content models. Agility CMS allows developers to use any API they choose to manipulate data, for flexibility and productivity. GraphQL is designed to make APIs flexible, fast, precise, and developer-friendly, and it’s rapidly becoming the standard for API-based data access. GraphQL ensures that developers and applications only load the relevant and absolute necessary data in a single request, even if it’s from multiple sources, which means no more over or under fetching of data. Agility CMS now supports both GraphQL and Content Fetch REST API, as well as Content Sync SDK.
Category: Content management & strategy (Page 58 of 478)
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/
Widen, maker of digital asset management (DAM) and product information management (PIM) software, and Clarifai, an AI lifecycle platform provider for managing unstructured image, video, text, and audio data, announced an advancement in their partnership. Clarifai, which powers AI metadata tagging in the Widen Collective, has introduced a visual similarity search that instantly finds related images. It will enable Widen users to save time and money spent on manual DAM processes while improving their return on content investments.
In 2017, Widen and Clarifai partnered to bring AI metadata generation into the Collective. This service generates metadata faster than manual processing, at lower cost, in 53 languages. Many DAM administrators use the Clarifai platform to take the first pass on new content. This saves time and makes new content available to marketing, e-commerce, and sales teams faster. It also makes untagged stock images searchable with descriptive keywords.
Widen users can now select an asset and let the AI find visually related photos allowing users to search for images connected to a specific product category, geographic location, demographic, theme, or style. Visual similarity search surfaces assets that might not otherwise be found and published. Thus, it can improve the return on investing in content.
Primer, a natural language processing (NLP) company, announced the launch of Primer Engines, an integrated suite of industrial-grade NLP models that bring machine learning (ML) to mission-critical operations at any organization. Primer Engines unlock advanced capabilities for commercial organizations to use in almost any text-related business application. Primer Engines make it possible for anyone responsible for data analysis, intelligence, or operations to fully access, explore, and take advantage of the firehose of text-based data coming their way. With Primer Engines, there’s no need to mobilize a team of machine learning experts to build an NLP solution from scratch. Primer’s team of ML engineers is continuously pushing the realm of what’s possible with NLP, building new domain and data-specific engines.
Organizations can pick and choose from over two dozen pre-trained Engines for the task they need, including Primer’s Named Entity Recognition (NER) model. Each engine comes with a plug-and-play API that enables integration into existing applications, tools, or systems, both in the cloud and on premises. Organizations can connect multiple Primer Engines together and build their own NLP-powered data processing pipelines that match their unique workflows. Engines can be retrained in Primer Automate, the company’s recently released no-code platform, to build and deploy custom deep learning models.
Acquia announced updates to the Acquia Open Digital Experience Platform (DXP). The integrated Acquia platform enables marketers, developers and IT operators to assemble and deploy digital experiences across the customer journey. The update includes support for the employee experience, a new China hosting service and a newly integrated user interface for Marketing Cloud. Drupal Cloud updates:
- Employee Experience Solution: integrates HR applications with dynamic site-building and hosting capabilities for benefits and payroll, information access, discovery, cross-team collaboration.
- Acquia Cloud Next: Improved performance, increased storage, enhanced security and resiliency.
- China Managed Services: Deliver web experiences to China audiences through a managed Drupal service operated from within the country.
- Fully Managed Search: Solr 7 search capabilities integrated into the Acquia Cloud Platform.
- Acquia Cloud IDE: A new, cloud-based workflow for development, staging and production environments.
- Developer Support: A new Lando plugin, support for PHP 8 and the latest version of Drupal.
Updates to Marketing Cloud:
- Unified UI and Updated Look and Feel: Using multiple Marketing Cloud products, toggle between CDP, Personalization, Campaign Studio, and Acquia Campaign Factory.
- Golden Template in Campaign Factory: Streamline campaign publishing with a golden template that can change all downstream child instances.
- Machine Learning Center (“ML Center”): ML Center gives marketers and business a dashboard that unifies all machine learning-driven intelligence.
Lighthouse, a provider of technology-enabled ediscovery, compliance and information governance services, announced it will acquire H5, a provider of sensitive data classification, analytics and ediscovery solutions for complex litigation and regulatory compliance challenges.
This transaction marks Lighthouse’s first entry into the document review space with the addition of advanced search and analytics technology, and experts focused on helping clients find and classify sensitive data and automate key review workflows with unparalleled speed and accuracy. With H5, Lighthouse is acquiring review efficiency technology that enables its consultants to accurately and efficiently perform key document identification and responsiveness review faster than manual review teams. This solution is currently being used by many of the world’s leading corporations and law firms and applies broadly to all document review. Lighthouse will now offer a comprehensive set of consulting, review, ediscovery and information governance technologies and services that spans the entire client data lifecycle and fully embraces the rapid shifts to cloud and hybrid environments.
SparkCognition, an infrastructure-focused artificial intelligence (AI) company announced it has acquired Maana, a digital knowledge platform company. Through this acquisition, SparkCognition gains Maana’s computational knowledge graph technology, its industrial expertise and customers such as Chevron, Shell, Aramco, and Airbus, expanding its Fortune Global 100 footprint with multi-year software agreements. SparkCognition’s AI platform combined with Maana’s digital knowledge management technology will accelerate customers’ time to value in adopting AI-driven decision making across the enterprise. Maana’s software enables subject matter experts to develop AI-driven, business critical solutions. Subject matter experts use Maana’s no-code/low-code tools to encode domain knowledge, decision processes, and critical reasoning, then collaborate with data scientists and developers to build applications that optimize business operations.
Bloomreach announced the launch of its new headless content module, Bloomreach Content. Bloomreach Content is built for commerce, enabling marketers and merchandisers to work as one to build immersive e-commerce experiences that enhance the customer journey.
Businesses of all kinds differentiate through immersive storytelling — content, images, and personalization that connect with customers and encourage them to convert with confidence. To achieve this, marketers and merchandisers must be empowered to work together, seamlessly connecting content and products throughout the consumer’s researching and shopping journey. Bloomreach Content helps close this gap with three areas of differentiation:
- Fully SaaS: The Bloomreach Content module is fully SaaS, meaning it’s nimble, easy to implement, upgrades are automatic.
- Merchandiser-friendly: Bloomreach Content offers marketers and merchandisers the ability to build and control the customer journey across digital channels, creating, testing, and customizing targeted, on-brand digital experiences.
- Commerce-specific tools: Bloomreach Content users can enjoy fast page creation; in-page product merchandising; page scheduling; an API-first architecture; the ability to launch, manage, and customize campaign-specific landing pages and microsites, and more.
The new Bloomreach Content module is also integrated with modern commerce storefronts including Vue Storefront, Next.js Commerce, React Storefront 8, and SAP Spartacus, and supports modern web development platform partners Layer0, Netlify, and Vercel.
MerlinOne announced NOMAD, their new technology to search the visual content of objects, with no dependence on textual metadata. Need a photo of four people at a picnic? Just ask NOMAD to find it for you. Organizations may have their photos, graphics, illustrations and videos in a Digital Asset Management (DAM) system, but they still cannot find the right object they need while on deadline for a campaign. The problem is the scarcity of useful textual metadata which, so far, has been the only way DAM users can search their collections.
By applying a combination of Deep Learning AI technologies (all developed in-house by MerlinOne) to your search query, NOMAD understands the concept you are looking for and delivers precise results based solely on the visual content of an image, completely independent of the existence or accuracy of its metadata.
NOMAD understands language patterns as well as visual content. Just like it knows to group visually similar images, it also clusters phrases of similar meaning, reducing the dependency on a specific, controlled vocabulary to find what you’re looking for. NOMAD can be combined with other MerlinAI tools such as IMPACT and Visual Similarity to provide additional search capabilities.
Subscribe to the Gilbane Advisor
