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Category: Content management & strategy (Page 21 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/

Expert[.]ai expands partnership with SS&C Blue Prism

Expert.ai, a provider of AI-powered language solutions to enterprises, announced the integration of its hybrid AI platform with SS&C Blue Prism’s intelligent automation platform.

As an approved partner within SS&C Blue Prism’s Technology Alliance Program—a large ecosystem of ready-to-integrate solutions and technologies accelerating digital transformation—expert[.]ai provides state-of-the-art approaches in natural language understanding and processing (NLU / NLP), machine learning and the latest large language models (LLMs) like GPT. With these combined technologies, organizations can expand their intelligent automation capabilities, delivering new solutions to support their strategic business goals.

The ability to accurately perform linguistic tasks at scale has become a core component of achieving long-term transformational value with intelligent automation. NL-powered bots help enterprises automate business processes based on large volumes of unstructured data—text documents, emails, customer interactions, call notes, etc. — reducing errors, improving efficiency and increasing the scalability of operations. Through data accurately analyzed and processed by expert[.]ai and then automated on the SS&C Blue Prism platform, bots and low-code apps can extend to more complex processes with high accuracy and lower implementation costs.

https://www.expert.aihttps://www.blueprism.com

Optimizely introduces Content Graph

Optimizely, a digital experience platform (DXP) provider, introduced Content Graph: a service that developers can use to search and deliver content anywhere. This update to Optimizely’s Content Management System (CMS), makes it possible to repurpose content, provide customized search experiences, and create content blocks, enabling more dynamic content experiences.

Content Graph uses GraphQL, a query language for APIs known for its powerful yet simple form of data fetching. It serves as an on-demand content library that provides a streamlined way to access content, enabling the delivery of content across multiple platforms, channels, and devices. Content Graph extends GraphQL to offer search and full text indexing, speeds served from CDNs, and a universal API that will layer into all Optimizely products beyond just the CMS.

A traditional CMS offers an intuitive interface, ensuring ease of use for marketers; however, it may pose challenges when it comes to repurposing content across channels. On the other hand, a headless CMS addresses this issue but lacks a marketer-friendly interface, which means that it can create dependencies on developers. Optimizely customers no longer have to choose – they can use the CMS in a headless or traditional fashion, or a combination of the two.

https://www.optimizely.com/headless

Bloomreach enhances customer experience with Gorgias integration

Bloomreach announced businesses using Bloomreach Engagement can now integrate their services with Gorgias , a helpdesk platform designed to streamline customer support operations. As an integral part of the Shopify ecosystem, Gorgias provides essential data about the customer experience and gives Engagement users a more in-depth understanding of the customer journey. Gorgias can help to improve conversion rates and customer satisfaction, ensuring a positive journey from beginning to end. Its integration with Bloomreach Engagement will offer businesses a more in-depth understanding of the customer, ensuring every communication a customer receives is based on a complete understanding of their journey.

It’s essential to have helpdesk data readily available within a marketing platform to consistently offer relevant information and context. By integrating Bloomreach Engagement with Gorgias, marketers using Engagement gain comprehensive insights into all aspects of a purchase. Gorgias assists in refining a marketing team’s personalization efforts and enables the creation of more tailored campaigns.

Gorgias fits into any personalization-driven marketing strategy or campaign. Through this integration, marketers can identify dissatisfied customers, adjust their communications accordingly, enhance personalized experiences for loyal customers, or win back those with bad experiences in the past. Gorgias provides an additional level of insight for Engagement users.

https://www.bloomreach.com/

Adobe announces Firefly for Enterprise

Adobe announced a generative AI offering that brings Adobe Firefly and Adobe Express to enterprises. Firefly for Enterprise is designed to help enterprises streamline and accelerate content creation while optimizing costs. The new company-wide offering enables every employee across an organization, at any creative skill level, to use Firefly to generate content that can be edited in Express or Creative Cloud. Express bridges workflows between creative professionals and marketers through integrations into Creative Cloud applications like Photoshop and Illustrator as well as Experience Manager, their CMS solution.

As part of this new offering , users will be able to access Firefly through the standalone Firefly application, Adobe Express and Creative Cloud, and Adobe plans to enable businesses to be able to custom train Firefly with their own branded assets, embedding Firefly into their own ecosystem and generating content in the brand’s style and brand language using APIs to increase automation. Firefly is designed to be safe for commercial use and enterprises also have the opportunity to obtain an IP indemnity from Adobe for content generated by certain Firefly-powered workflows. The new Adobe Firefly for enterprise offering will be available in the second half of 2023.

https://news.adobe.com/news/news-details/2023/Adobe-Brings-Firefly-and-Express-to-Enterprises/default.aspx

Neo4j announces new integrations with generative AI features in Vertex AI

Neo4j, a graph database and analytics company, announced an integration with Google Cloud’s generative AI features in Vertex AI, Google’s large language model (LLM) platform. The result helps enterprise customers harness knowledge graphs built on Neo4j’s cloud offerings in Google Cloud Platform for generative AI insights and recommendations that are more accurate, transparent, and explainable. Specifically:

  1. Leverage natural language to interact with knowledge graphs: Vertex AI’s generative AI capabilities can be used to provide a natural language interface to the knowledge graph.
  2. Transform unstructured data into knowledge graphs: Developers can leverage new generative AI capabilities in Vertex AI to process unstructured data, structure it, and load it into a knowledge graph.
  3. Real-time GenAI enrichment: Neo4j databases now have the ability to call Vertex AI services in real-time to enrich knowledge graphs.
  4. Support for vector embeddings: Neo4j can be leveraged to provide long-term memory for large language models through support of vector embeddings. Neo4j’s Graph Data Science supports more than 60 algorithms.
  5. Grounding with knowledge graphs: Grounding is the ability of enterprise customers to validate responses received from large language models against enterprise knowledge graphs. Developers can use LangChain along with Neo4j-based knowledge graphs to enable grounding use cases.

https://neo4j.com

PingCAP unveils TiDB 7.1

PingCAP, a developer of distributed SQL database solutions, announced the release of TiDB 7.1, the newest iteration of its open source product, with enhanced features, improved performance, and greater ease of use. TiDB powers all applications with elastic scaling, real-time analytics, and continuous data. With simplified operations and enhanced MySQL compatibility, users can better meet high customer expectations and accelerate the productivity of developers and infrastructure engineers. TiDB 7.1 allows users to:

  • Stabilize business-critical workloads by giving multi-workload stability control to DB operators and significantly improving tail latencies.
  • Speed up workloads with fewer resources via architectural enhancements for higher throughput, lower storage costs, and reduced scaling time.

TiDB 7.1 also makes generally available multiple enhancements and key features added in prior non-stable releases since TiDB 6.5, including:

  • Multi-tenant UX – Allows operators of TiDB to set resource quotas and priority for different workloads.
  • Added flexibility and speed with a multi-value index – Also known as a JSON index, a multi-value index (supported in MySQL) enables an N:1 mapping of index records to data records.
  • Accelerated Time to Live (TTL) – Better performance and resource utilization by parallelizing across TiDB nodes.
  • Accelerated analytics with late materialization.

https://www.pingcap.com

SearchStax launches SearchStax for Good

SearchStax, a cloud search platform enabling web teams to deliver search in an easy and cost-effective way, announced the launch of a new program, SearchStax for Good, that provides web and mobile development teams a frictionless way to simplify the management of Apache Solr workloads in the cloud.

SearchStax for Good is designed specifically for non-profits to help eliminate both the infrastructure management problem, as well as to remove the high barrier to entry from a budgetary perspective. By offering an extended no-cost period of full-featured service, SearchStax for Good enables qualifying non-profits a way to get search infrastructure up and running immediately, without having to figure out how to re-allocate budget, or needing to first get budget approval.

Upon the initial launch of SearchStax for Good at DrupalCon Pittsburgh 2023, SearchStax for Good will offer non-profit organizations 6 months free of SearchStax Cloud Serverless, a solution that delivers fast, scalable, and cost-effective Solr, thereby giving web and product teams the ability to build quickly and scale automatically while optimizing resource utilization. After the initial six-month period ends, participating organizations can continue using the service at a 40% discounted rate.

https://www.searchstax.com/ss-for-good

Optimizely expands partnership with Contentsquare

Optimizely, a digital experience platform (DXP) provider, announced it has expanded its partnership with digital experience analytics platform Contentsquare to enhance its experimentation capabilities with comprehensive journey analytics. Zone-Based Heatmaps from Contentsquare is a part of a two-way integration that provides Optimizely Web Experimentation users with insights on customers’ in-page behavior, a deeper understanding of the reasons behind experiments’ performance, and a pathway toward optimized digital experiences.

Available as a Chrome Extension, Zone-Based Heatmaps allows marketing teams to access a holistic view of customer behavior needed to establish always-on optimization that fuels personalization. Zone-Based Heatmaps enables marketing teams to glean and quickly act on unique engagement, conversion, and revenue data for each of its website page elements. Paired with Optimizely, marketers can perform deeper evaluations of ongoing and completed experiments and uncover new, revenue-driving experiments to run.

In addition to Optimizely and Contentsquare customers, this news could help users of Google Optimize who will need an experimentation offering when the platform sunsets on September 30, 2023.

https://www.optimizely.com/insights/blog/optimizely-x-contentsquare-5-ways-were-better-together/

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