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Category: Content management & strategy (Page 1 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/

Brightcove launches Marketing Studio for Sales

Brightcove launched Brightcove Marketing Studio for Sales, for global sales teams to easily create and deploy personalized video content. The video engagement platform gives companies control over brand and quality standards while providing unified measurement and insights across content and touch-points. Sales teams can create personalized video experiences for prospects and customers without needing video production expertise. 

  • Centralized brand management: Create and control centrally managed video templates with embedded brand guidelines and streamlined approval processes.
  • Integration: Aligns with existing martech stacks, workflows, and processes, for rapid adoption by sales teams.
  • Scalable video personalization: Publish videos on branded landing pages and social platforms, and with Brightcove’s AI Universal Translator (expected availability January 2025) sales can engage global audiences in over 130 languages.
  • User-friendly video creation: The platform’s user-friendly tools allow sales teams to record new content, swap footage, add voiceovers, include music and graphics, and implement interactive elements.
  • Enhanced engagement and analytics: Built-in video analytics deliver insights into prospect engagement, completion rates, and impressions.

Brightcove Launches Marketing Studio For Sales, Putting Video In The Hands Of Global Sales Teams To Drive Engagement And Accelerate Business Results

Elastic announces AI ecosystem to accelerate GenAI application development

Elastic a Search AI Company, announced its AI ecosystem to help enterprise developers accelerate building and deploying their Retrieval Augmented Generation (RAG) applications. The Elastic AI Ecosystem provides developers with a curated, comprehensive set of AI technologies and tools integrated with the Elasticsearch vector database, designed to speed time-to-market, ROI delivery, and innovation.

The Elastic AI Ecosystem offers developers pre-built Elasticsearch vector database integrations from a trusted network of AI companies to deliver seamless access to the critical components of GenAI applications across AI models, cloud infrastructure, MLOps frameworks, data prep and ingestion platforms, and AI security & operations. These integrations help developers:

  • Deliver more relevant experiences through RAG
  • Prepare and ingest data from multiple sources
  • Experiment with and evaluate AI models
  • Leverage GenAI development frameworks
  • Observe and securely deploy AI applications

The Elastic AI Ecosystem includes integrations with Alibaba Cloud, Amazon Web Services (AWS), Anthropic’s Claude, Cohere, Confluent, Dataiku, DataRobot, Galileo, Google Cloud, Hugging Face, LangChain, LlamaIndex, Microsoft, Mistral AI, NVIDIA, OpenAI, Protect AI, RedHat, Vectorize, and Unstructured.

https://ir.elastic.co/news/news-details/2024/Elastic-Announces-AI-Ecosystem-to-Accelerate-GenAI-Application-Development/default.aspx

Snowflake announces availability of Unistore with Hybrid Tables

Snowflake announced its modern approach to bring transactional and analytical data together in a single, unified platform with Unistore. Unistore is powered by Hybrid Tables (now available on AWS), a table type that enables fast, high-concurrency point operations to support transactional workloads. With Unistore, customers can simplify their data architectures, while ensuring consistent security and governance across their data. 

As a part of Unistore, Hybrid Tables intelligently identify when a query is transactional or analytical in nature to provide customers with the most optimal query performance. Hybrid Tables run double-digit millisecond point operations alongside users’ analytical queries, all within Snowflake. With Hybrid Tables, organizations can now harness all of their data to unlock various use cases including:

  • State Management: Enabling users to maintain application and workflow state in real-time, removing the need to manage multiple database systems.
  • Data Serving: Empowering users to serve low-latency data for their apps, without having to move between databases, while maintaining a unified governance and security model.
  • Building Lightweight Transactional Apps: Helping users build lightweight transactional apps with Snowflake’s expanded support for transactional capabilities, simplifying both app development and their architectures.

https://www.snowflake.com/en/blog/unistore-general-availability

Box announces Box AI Studio

Box, Inc., an Intelligent Content Management (ICM) platform, announced a new set of AI-powered enhancements to advance how organizations manage content. Box AI, initially an AI assistant that could answer questions or generate content, has evolved into Box AI Studio, a platform enabling enterprises to apply AI to complex use cases.

Box customers can now choose from a variety of models offered by our AI model partners and customize their agent prompts with specific instructions — like how to respond to a particular question in a way that reflects the business’s context and the brand tone. These personalized agents can then be used to help perform tasks and get insights in a precise and standardized way, enabling organizations to leverage them for specific workflows and deliver the relevant and accurate results.

Box also announced Box Apps, available in Beta today, a no-code solution that makes it easier to create intelligent applications that manage content-centric business processes throughout the enterprise, and Enterprise Advanced, a new plan that combines the full power of the Box Intelligent Content Management platform into a single offering.

Box AI Studio and Enterprise Advanced will roll out in January 2025.

https://blog.box.com/intelligent-content-management-innovations-boxworks-2024

Coveo partners with Shopify

Coveo, an enterprise AI platform that brings AI Search and generative AI to every point–of-experience, announced they have partnered with Shopify to bring its commerce AI capabilities to Shopify enterprise customers.

Coveo will give Shopify enterprise merchants the ability to manage AI models and strategies for search relevance and semantic precision, personalization, recommendations and generative shopper experiences, enabling AI-powered product discovery and dynamic session optimization to drive higher conversion, revenue and margins within large scale and complex B2B, B2C and D2C businesses. Shopify merchants will have access to:

  • Search: Query suggestions, personalized 1:1 results, partial part # match, cross-reference lookups, powered by AI and semantics.
  • Personalization: with real-time individualized AI-powered search results creating a relevant experience for known or anonymous visitors.
  • Recommendations: Product and content recommendations augmented in-session based on real-time shopper behavior and intent cues.
  • Indexing: Unified indexing enables product discovery, regardless of catalog complexity.
  • Generative Experiences: Guided advisory experiences educating customers on products and putting retailers’ content to work in the discovery journey.
  • AI and ML Models: Deliver solutions for your shopper journey; from query suggestions to personalized and business-aware ranking.
  • Merchandising and insights: Controls to schedule campaigns, drive experimentation and apply business rules on top of AI.

https://www.coveo.com/en/integrations/shopify-search

DataStax expands Astra DB extension for GitHub Copilot

DataStax, a AI platform, announced the enhancement of its GitHub Copilot extension with its AI Platform-as-a-Service (AI PaaS) solution. This extension makes it easier for developers to directly interact with DataStax Langflow and their Astra DB databases’ vector, tabular, and streaming data right from their IDE (integrated development environment) through the DataStax GitHub Copilot Extension. 

As generative AI adoption accelerates, developers are seeking tools that not only enhance productivity but also simplify complex workflows, enabling them to keep pace with innovation. New features include:

  • Database Creation: Developers can create databases (vector or serverless), in the user’s preferred cloud provider and region, in Astra DB directly through GitHub Copilot.
  • Flow creation: The Copilot Extension can build Langflow flows using simple English conversational prompts, provide direct links to the flows, and generate API calls to Langflow application endpoints in VSCode.
  • Expanded Capabilities: Copilot answers questions about databases and helps troubleshoot queries. These new features address challenges developers face by bringing low-code and traditional developers together, enabling a broader range of experience levels to leverage powerful AI tools within the familiar VS Code environment. This reduces the time to production, especially for teams that need to deliver quickly in competitive environments.

https://www.datastax.com/blog/astra-db-extension-github-copilot-updates

Salesforce launches Agentforce

Salesforce, a CRM (customer relationship management) provider, announced the general availability of Agentforce, a new layer on the Salesforce Platform that enables companies to build and deploy AI agents that can autonomously take action across business functions. Agentforce uses reasoning abilities to make decisions and take action, like resolving customer cases, qualifying sales leads, and optimizing marketing campaigns. Agentforce doesn’t depend on human engagement to get work done; these agents can be triggered by changes in data, business rules, pre-built automations, or signals via API calls from other systems.

Agentforce includes out-of-the-box agents that are easy to customize and deploy with low-code or no-code tools and that work around the clock across any channel. Users can customize pre-built agents to serve any industry and use case, like retail with order management topics, or financial services with billing and payment support topics.

With Agentforce, there’s no need to DIY (do it yourself) your AI. Customers can instantly turn their existing Flows, prompt templates, Apex, and APIs into agent actions, connecting to enterprise data, security models, and automations‌ with tools like Data Cloud, Slack, and MuleSoft. Salesforce admins and developers can use natural language to create instructions for agents.

https://www.salesforce.com/news/press-releases/2024/10/29/agentforce-general-availability-announcement/

Acquia adds new AI capabilities for digital asset management

Acquia, a provider of digital experience software, announced AI enhancements to the company’s digital asset management solution, Acquia DAM, to help creatives and marketers to increase productivity and extract more value from their digital content.

Acquia Video Creator, by Moovly, is now available as an add-on module to Acquia DAM and PIM (product information management) solutions. Acquia Video Creator allows users to produce professional-quality, brand-compliant videos with a drag-and-drop interface, existing assets from their digital asset library, customizable templates, and a library of graphics, animations, and video clips. Start entirely new projects, edit existing videos, and use AI features to generate scripts, voiceover, subtitles, transcripts, and translations. Acquia Video Creator also offers collaboration tools.

Acquia also expanded the AI features available within Acquia DAM to make it easier to manage, find, and share video and image assets. AI Video Transcription enables users to add an AI-generated video transcript that is stored on the video’s asset digest page. Transcripts are time-stamped and available via searches within the DAM. Automated Color Filtering removes human error that can arise in manual tagging by using AI to analyze the color profile of an image and provide filtering and search of specific HEX values.

https://www.acquia.com/products/acquia-dam

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