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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/

Coveo partners with Shopify

October 31, 2024 /

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

October 29, 2024 /

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

October 29, 2024 /

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

October 23, 2024 /

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

Semantic Web Company and Ontotext merge to create Graphwise

October 23, 2024 /

Semantic Web Company and Ontotext today announced the two companies have merged to become Graph AI provider, Graphwise. Semantic Web Company brings expertise in knowledge engineering, semantic AI and intelligent document processing, while Ontotext brings a versatile graph database engine and AI models for linking and unifying information.

Combining Ontotext GraphDB’s data management capabilities with PoolParty, knowledge and content management offerings from Semantic Web Company, Graphwise has created a comprehensive knowledge graph management platform, which includes complete multi-modal data support – unstructured, semi-structured and structured data. The Graphwise Platform, will enable customers to benefit from: 

  • Sophisticated, accurate and reliable AI applications that leverage the power of knowledge graphs for applications like Graph RAG, NLP, recommendation systems, and predictive analysis. 
  • Support unstructured and semi-structured data management into data fabric processes. 
  • The ability to scale effortlessly, while ensuring data remains well-structured and classified. This enables businesses to build AI systems capable of navigating vast networks of interconnected information without sacrificing accuracy or performance. 
  • Enhanced flexibility in designing models by providing the tools necessary in one platform to simplify architectural decisions.
  • A combined partner ecosystem and a broader market which creates more opportunities, including significantly larger project volumes. 

https://graphwise.ai

Perplexity introduces Internal Knowledge Search and Spaces

October 17, 2024 /

From industry professionals to hobbyists, people use Perplexity in ways we never imagined, but we want to give users even more flexibility and control over the types of sources they prompt, which is why we’re excited to introduce Internal Knowledge Search and Spaces.

While file upload has been part of Perplexity for some time, one of our most requested features has been the ability to search internal files alongside the web. With Perplexity Pro and Enterprise Pro, you can now search across both public web content and your own internal knowledge bases. Seamlessly access and synthesize the best information from all sources to get the answers you need, faster.

We’ve also reinvented how teams research and organize information with Perplexity Spaces — AI-powered collaboration hubs that can be customized to your specific use case. You can invite collaborators, connect internal files, and customize the AI assistant by choosing your preferred AI model and setting instructions for how it should respond.

Spaces gives you access controls over who can access your research and files. For Enterprise Pro customers files and searches are excluded from AI training by default. Pro users can choose to opt out of AI training in their settings.

https://www.perplexity.ai/enterprise

Sitecore launches Sitecore Stream

October 16, 2024 /

Sitecore, a digital experience software provider, today announced Sitecore Stream to address challenges and opportunities faced by enterprise marketing teams. Built on Microsoft Azure OpenAI Service, Sitecore Stream helps orchestrate a seamless marketer experience across Sitecore solutions, including XM Cloud, Content Hub, and Experience Platform (XP).

Sitecore Stream leverages generative AI to simplify marketing workflows and enhance productivity through orchestration, content intelligence, and automated assistance. Sitecore Stream leverages Sitecore’s composable product architecture, enabling full interoperability across a brand’s existing martech stack, with built-in AI guardrails to help preserve brand compliance and data privacy. Sitecore Stream includes:

  • Brand-aware AI: Helps align marketers’ actions, recommendations, and experiences with the organization’s brand identity, values, and guidelines.
  • AI-enhanced workflows: Automates repetitive tasks to accelerate execution and boost collaboration. These workflows may be creating content, building a website page, or A/B testing a call to action to help marketers stay in a productive flow.
  • Generative copilots: For brand, brief, content, and experience creation and optimization, these help marketers stay true to their brand and brief as they complete their work.

Sitecore Stream capabilities are available today.

https://www.sitecore.com/products/sitecore-stream

MongoDB releases MongoDB 8.0

October 2, 2024 /

MongoDB, Inc. released MongoDB 8.0, providing performance improvements, reduced scaling costs, and additional scalability, resilience, and data security capabilities. MongoDB 8.0 is available on AWS, Google Cloud, and Microsoft Azure through MongoDB Atlas, on MongoDB Enterprise Advanced for on-premises and hybrid deployments, and as a free download with MongoDB Community Edition. Capabilities: 

  • Optimized performance for a wide variety of applications. 
    Architectural optimizations reduced memory usage and query times, has more efficient batch processing capabilities, and handles higher volumes of time series data.
  • Encryption that unlocks new use cases.
  • Queryable Encryption allows customers to encrypt sensitive application data, store it securely and run expressive queries on the encrypted data for processing.
  • Faster horizontal scaling for high availability.
  • Sharding improvements in MongoDB 8.0 distribute data across shards faster without the need for additional configuration. 
  • Resilience for unexpected application demand. 
  • The ability to set a default maximum time limit for running queries, to reject recurring types of problematic queries, and to set query settings to persist through events like database restarts. 
  • Reduced costs and increased scale for vector applications.
  • With vector quantization, customers can build a wide range of search and AI applications at higher scale and lower cost.

https://www.mongodb.com/products/updates/version-release

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