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Category: Content management & strategy (Page 1 of 483)

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/

Verndale acquires the Product Experience Division of Amp

Verndale, a digital experience and technology company, today announced the acquisition of the Product Experience Division of Amp, from Advantage Solutions. They will operate as Verndale as part of the acquisition.

The move is to Verndale’s position as a modern growth partner, expanding its ability to take brands from initial concept to fully built digital products, and continuously optimize them for measurable business impact.

The Product Experience Division of Amp is known for combining its product design, UX, engineering and digital marketing capabilities via an embedded approach to building digital product experiences for global brands across tech, CPG, healthcare, and consumer industries. The team brings deep capabilities in product strategy, rapid prototyping, product development, and ongoing management through SEO, analytics, and experimentation.

The acquisition strengthens Verndale’s ability to support the full lifecycle of digital experience, from ideation and UX through engineering, activation, and ongoing product management. It also expands Verndale’s reach into growth-minded verticals such as technology and CPG, where brands increasingly expect partners to blend product development with performance marketing and experience optimization.

This acquisition reflects Verndale’s continued investment in building a next-generation digital experience platform, combining product, UX, engineering, data, and marketing capabilities into a single, accountable partner.

https://www.verndale.com/about-us/news/verndale-acquires-product-experience-division-of-amp

MongoDB expands MongoDB for startups

MongoDB, Inc. announced an upcoming expansion to MongoDB for Startups, designed to help founders and builders take applications from prototype to global deployment. MongoDB for Startups companies now represent more than $200 billion in combined valuation, and this expansion gives early-stage companies a faster, more reliable path to scale by providing a production-ready data foundation and an integrated stack that works from day one.

With initial launch partners Temporal and Fireworks AI, MongoDB for Startups introduces a founder-first ecosystem to help startups avoid early infrastructure decisions that slow them down over time. In the AI era, founders face unprecedented complexity when selecting their infrastructure; choosing the wrong stack early can create long-term AI debt that stalls innovation. Through a curated partner ecosystem, the program gives startups access to infrastructure designed to scale without constant rework, by delivering a cohesive, production-ready stack through matched credits, coordinated onboarding and enablement content, and joint events across complementary technologies.

This expansion to MongoDB for Startups creates a simple, opt-in experience designed to help founders scale without assembling and maintaining disparate technologies. Eligible MongoDB for Startups organizations can access matched credit offers across a curated set of complementary technologies, including Fireworks and Temporal.

https://www.mongodb.com/press/mongodb-for-startups-expands-to-give-founders-a-faster-and-smarter-start-from-day-one

Box announces general availability of Box Extract

Box, an Intelligent Content Management (ICM) platform, released Box Extract. Powered by generative AI models from companies like Google, Anthropic, and OpenAI, and combined with agentic capabilities, Box Extract enables enterprises to intelligently and securely pull valuable information from content and save it as metadata in Box. With Box Extract, it is now easier for enterprises to automate workflows, accelerate decision-making, and get faster access to information and insights.

Organizational knowledge resides in the collection of contracts, product specifications, policy documents, charts, and other forms of unstructured content involved in day-to-day business operations. This content provides the critical context AI models and agents require to unlock meaningful business value.

Box’s agentic approach enables Box Extract to understand document structure and meaning, break it down into components, such as paragraphs, tables, or charts, and then pull out the most important information. Teams can create custom Extract Agents tailored to their business needs. These Box Extract Agents give customers the flexibility to store structured data alongside unstructured content as custom metadata, which can also be exported or synced to other systems such as Databricks and Snowflake.

https://blog.box.com/introducing-box-extract-get-actionable-data-enterprise-content-scale

Microsoft announces agentic AI capabilities for retail

Microsoft announced a set of agentic AI capabilities aimed at supporting automation and decision-making across retail operations, including merchandising, marketing, store operations, and fulfillment. The tools are designed to connect data and workflows so teams can act on context in real time.

Copilot Checkout, now available in the U.S. on Copilot.com, allows shoppers to complete purchases directly within Copilot without being redirected to a retailer’s website, while merchants remain the merchant of record. The service integrates with partners including PayPal, Shopify, and Stripe, and supports participating retailers such as Urban Outfitters, Anthropologie, Ashley Furniture, and Etsy sellers.

Microsoft also introduced Brand Agents for Shopify merchants and a personalized shopping agent template in Copilot Studio. These tools enable conversational shopping experiences using a retailer’s product catalog, with options ranging from turnkey deployment to fully customizable implementations.

In public preview, a catalog enrichment agent template automates product onboarding and categorization by extracting attributes from images and enriching data for search and recommendations.

For physical stores, a store operations agent template provides natural-language access to inventory, policies, and operational insights, helping staff manage workflows, staffing, and day-to-day decisions using internal and external data signals.

https://news.microsoft.com/source/2026/01/08/microsoft-propels-retail-forward-with-agentic-ai-capabilities-that-power-intelligent-automation-for-every-retail-function

Snowflake to acquire Observe

Snowflake, an AI Data Cloud company, has signed a definitive agreement to acquire Observe, a provider of AI-powered observability. With this acquisition, Snowflake will deliver their next generation of AI-powered observability, built on open standards and designed for the scale, complexity, and economics required by modern AI-driven enterprises. Snowflake and Observe will provide enterprises with: 

  • Agentic AI for faster troubleshooting: The combination of Observe’s AI-powered Site Reliability Engineer (SRE) with data in Snowflake enables a shift from reactive monitoring to proactive, automated troubleshooting. Observe’s AI SRE leverages a unified context graph that correlates logs, metrics, and traces, allowing teams to detect anomalies earlier, identify root causes, and resolve production issues faster.
  • An open-standard architecture built for scale: The acquisition also establishes a unified, open-standard observability architecture based on Apache Iceberg and OpenTelemetry. Enterprises can manage massive telemetry volumes using economical object storage, elastic compute, and interoperable standards.
  • Full telemetry data retention with efficient economics: As AI-driven applications generate volumes of logs, metrics, and traces, enterprises have increasingly been forced to rely on sampling and short retention windows to manage cost. By unifying Observe’s AI-powered observability platform with Snowflake’s scalable data foundation, organizations may eliminate these tradeoffs.

https://www.snowflake.com/en/news/press-releases/snowflake-announces-intent-to-acquire-observe-to-deliver-ai-powered-observability-at-enterprise-scale

WP Engine acquires Big Bite

WP Engine, a global web enablement company providing products and solutions for websites built on WordPress, today announced its acquisition of Big Bite, an enterprise agency known for the development of advanced editorial tools to improve how global brands and media organizations create and share digital content.

A longstanding WP Engine agency partner, Big Bite has over a decade of experience developing newsroom platforms, publishing workflows, and specialized tools that combine editorial flexibility with technical excellence. Their publishing expertise has helped transform the digital ecosystems of some of the world’s biggest media brands, including The Times, The Wall Street Journal, New York Post, Metro, and Macworld. As part of this transaction, Big Bite’s agency business will be wound down, and its team will transition into WP Engine’s Engineering organization to help build products that enhance publishing solutions for customers and agency partners. 

Big Bite’s publishing expertise, focused on navigating the rapidly changing digital landscape with innovative solutions, will seamlessly integrate into the premium service WP Engine provides its network of global agency partners.

https://wpengine.com/blog/wp-engine-acquires-big-bite/

Squirro announces Squirro Release 3.14.4

Squirro, a global supplier of enterprise-grade Generative AI and knowledge graph technology, announced the general availability of its latest Long-Term Support (LTS) platform update. Squirro Release 3.14.4 introduces new capabilities designed to close the gap between structured enterprise knowledge and ad-hoc user workflows.

Most notably, the update includes direct file uploads, multimodal image reasoning, and an enterprise-grade prompt library – features that help organizations extract insights from complex documents, whether stored in enterprise repositories or sitting on a user’s desktop.

The centerpiece of the latest Squirro Platform Release is an enhanced chat experience designed for versatility and depth. Direct file uploads let users bypass traditional indexing workflows by dragging contracts or reports directly into the chat for on-the-spot analysis. For complex long-form content, a new “Chat with Item” agent maintains deep memory context retaining the first 100 pages plus a summary to support Q&A sessions without losing the thread.

Multimodal image reasoning enables the AI to interpret charts, tables, and images contained within documents, while newly introduced table rendering capabilities automatically format structured data outputs into clean, readable tables.

By combining deep context memory, multimodal reasoning, and dynamic ad-hoc analysis, the upgrade enhances reasoning capabilities of auditable agentic workflows.

https://squirro.com/news-and-events/new-release-december-2025-enhanced-chat-multimodal-reasoning

Bloomreach launches Personalized Media in-Grid

Bloomreach, an agentic platform for personalization, introduced Personalized Media in-Grid, a new capability that turns static product grids into intelligent storytelling surfaces, powered by its AI-powered search solution Bloomreach Discovery and amplified through its marketing and conversational shopping solutions. The feature transforms product-listing pages into dynamic, story-driven experiences, showcasing Bloomreach’s connected suite. Personalized Media in-Grid brings the compound value of the platform to life, uniting placement, personalization, and conversation inside the shopping journey.

Today’s product-listing pages are largely static and transactional. Personalized Media in-Grid changes that by allowing retailers to insert videos, images, buying guides, seasonal promotions, and cross-sell messages between products on search and category pages. With slot selection, in-context preview, audience targeting, and scheduling capabilities, merchandising teams can manage and optimize content, and

  • Blend storytelling with commerce: Insert rich media, buying guides, promotional banners, and cross-sell content directly into product grids at specific slots.
  • Manage content: Apply rules globally across queries or categories, preview in context, and schedule campaigns..
  • Target specific audiences: Deliver tailored messages by integrating with Bloomreach Engagement for segmentation and 1:1 personalization, and with Bloomreach Clarity for conversational experiences.
  • Measure impact: Track performance through Discovery’s built-in analytics and extend reporting through Engagement dashboards.

https://www.bloomreach.com/en/news/2025/bloomreach-unites-search-storytelling-and-personalization/

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