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Category: Content management & strategy (Page 1 of 481)

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/

Google announces Gemini Enterprise

October 9, 2025 /

From the Google Products Blog…

AI has opened up new opportunities in the cloud market — and today, we announced our next chapter with Gemini Enterprise. Gemini Enterprise is designed on the premise that true business transformation in the era of AI must go beyond simple chatbots. You need a comprehensive and integrated platform that brings all your company’s data, tools, and people together in one secure place.

That’s exactly what we’ve built. Gemini Enterprise is an AI-powered conversational platform designed to bring the full power of Google AI to every employee for every workflow.

Built with Google’s most advanced Gemini models, it enables you to chat with your company’s documents, data, and applications. It also gives you the tools to build and deploy AI agents, as well as a suite of pre-built agents, and is grounded in your company’s information and your personal context at work.

Delivering this level of transformation requires a commitment to upskilling your teams. So today, we are announcing a comprehensive set of programs to help you succeed, including free Google Skills training, and the Gemini Enterprise Agent Ready (GEAR) program.

Gemini Enterprise: The new front door for Google AI in your workplace

commercetools Previews Cora

October 8, 2025 /

commercetools, an AI-first commerce platform for enterprises, announced a preview of commercetools Cora, an AI-native and multimodal shopping companion designed to demonstrate the future of conversational commerce. Cora shows how enterprises will be able to deliver human-like continuity across web, mobile, WhatsApp, and other channels. Shoppers can begin a journey on one device and continue it on another without losing context or progress. Cora maintains continuity and gives enterprises a branded companion they fully control.

Cora gives enterprises the practical tools to build loyalty and reduce drop-off by keeping every shopping journey connected. Key capabilities in the first phase of its launch include:

  • AI-First Product Discovery: Conversational search that understands vague requests (i.e., long queries) and translates them into relevant recommendations.
  • Omnichannel Continuity: Preserves context, cart state, and conversation history across all channels and devices.
  • Brand-Controlled Experience: Keeps shoppers inside a retailer’s ecosystem, ensuring that every interaction reflects the brand’s identity and builds lasting trust.

Cora is also fully white-labeled, allowing retailers to customize and brand the experience while relying on commercetools’ enterprise-grade security, governance, and data controls.

Cora will debut with AI-powered product search and launch in phases toward full agentic capabilities, including autonomous checkout.

https://commercetools.com/press-releases/commercetools-previews-cora

Grafana Labs releases Grafana Assistant

October 8, 2025 /

Grafana Labs announced the general availability of Grafana Assistant, a context-aware AI agent built for Grafana, along with the public preview of Grafana Assistant Investigations, an AI-powered feature that extends Grafana Assistant to accelerate multi-step incident investigations. New and enhanced capabilities include:

  • Query generation without deep syntax knowledge: Automatically generate and refine queries in PromQL, LogQL, and TraceQL based on plain-language prompts.
  • Organizational value unlock: Self-service access for non-observability teams reduces dependency on stretched SREs.
  • In‑context onboarding and learning support: Access contextual help, explanations, and “what to try next” guidance directly within Grafana.
  • Enterprise-ready access controls: Building on existing RBAC in Grafana Cloud, Grafana Assistant now offers Assistant-specific roles and permissions. Admins can configure access to features such as rules, Assistant Investigations, and MCP server management at a granular level, ensuring teams can align observability workflows with enterprise security and compliance requirements.

Assistant Investigations, available in public preview, builds on Grafana Assistant by acting as an autonomous agent for incident response. It analyzes the observability stack, generates findings and hypotheses, and provides actionable recommendations for mitigation and remediation. Fully integrated with Grafana Assistant, Assistant Investigations creates a seamless guided workflow for resolving complex incidents.

https://grafana.com/about/press/2025/10/08/grafana-labs-revolutionizes-ai-powered-observability-with-ga-of-grafana-assistant-and-introduces-assistant-investigations

TileDB launches Carrara, an omnimodal data intelligence platform

October 7, 2025 /

TileDB announced controlled availability of TileDB Carrara, an omnimodal data intelligence platform addressing the inability to discover, access, and analyze all data types, from structured tables to non-tabular data such as genomics, imaging, documents, models, agents, in a unified, governed environment.

TileDB Carrara treats all data as “modalities”—reachable, shareable data or code assets with inherent structure and domain-specific semantics. Whether population variants, bioimaging, PDF documents, Jupyter notebooks, user-defined functions, or external tables from existing data warehouses, assets become discoverable, and queryable.

This release of TileDB Carrara supports:

  1. Organization: A unified catalog for registering and searching across all modalities, supporting rich metadata filters and LLM-powered discovery
  2. Structuring: Leveraging TileDB’s shape-shifting array technology to efficiently capture any complex data type, optimized for cloud storage backends
  3. Collaboration: Teamspaces that function as secure data products, enabling users to create, share, and audit access to diverse assets within data clean rooms
  4. Analyze: An infrastructure for massively distributed computations, workflows, notebooks, and dashboards that manages all the data. 

While Carrara’s omnimodal architecture serves enterprises across sectors, its impact is particularly useful in life sciences and healthcare, where the integration of multimodal data (genomics, proteomics, clinical imaging, electronic health records, and sensor data) is essential.

https://www.tiledb.com/blog/introducing-carrara

Microsoft adds Anthropic model options for 365 Copilot

September 24, 2025 /

From the Microsoft 365 Blog…

Copilot will continue to be powered by OpenAI’s latest models, and now our customers will have the flexibility to use Anthropic models Claude Sonnet 4 and Claude Opus 4.1 too — starting in Researcher or when building agents in Microsoft Copilot Studio.

Here’s how Anthropic models are showing up in Microsoft 365 Copilot starting today:

  • Researcher agent: Our reasoning agent can now be powered by either OpenAI’s deep reasoning models or Anthropic’s Claude Opus 4.1. Whether you’re building a detailed go-to-market strategy, analyzing emerging product trends, or creating a comprehensive quarterly report, you can now select your preferred model to power in-depth work.
  • Copilot Studio: Claude Sonnet 4 and Claude Opus 4.1 models are now available as model options in Copilot Studio, enabling you to easily create and customize enterprise-grade agents. With this launch, you can build, orchestrate, and manage agents powered by Anthropic models for deep reasoning, workflow automation, and flexible agentic tasks. And with multi-agent systems and prompt tools in Copilot Studio, you can mix which models are used for specialized tasks from Anthropic, OpenAI, or any of the models in the Azure Model Catalog.

https://www.microsoft.com/en-us/microsoft-365/blog/2025/09/24/expanding-model-choice-in-microsoft-365-copilot/

Introducing Markup AI: Your enterprise content guardian agent

September 17, 2025 /

Generative AI has unleashed content that traditional review processes can’t keep up with. Content marketers use AI, yet most tools stop at spelling, grammar, or readability checks. Enterprises operate at industrial scale with thousands of authors, dozens of LLMs, millions of pages, and vast policy and terminology libraries. Without automated oversight, risk compounds fast.

Launched as a spinoff of NLP pioneer Acrolinx, Markup AI delivers an integrated suite of Content Guardian Agents for enterprise use cases:

  • Scan, Score, Rewrite – Agents analyze content against brand, terminology, compliance, and industry standards, assign a deterministic trust score, and instantly provide actionable rewrites.
  • Customizable Criteria – Enterprises can set governance rules (rewrite automatically or require human review) to balance efficiency and oversight.
  • Developer-First Architecture – With an API-first, MCP-powered design, Content Guardian Agents integrate into tools enterprises already use including Cursor, Figma, ChatGPT, Github Actions, Zapier. These integrations deliver compliance and quality checks without disrupting workflows.
  • Enterprise-Ready Scalability – Built for mission-critical environments, Guardian Agents plug into CI/CD pipelines, authoring tools, and enterprise applications to guard content wherever it’s created.

Markup AI also launched five AI Agents to address a core element of content quality: Terminology Agent, Consistency Agent, Tone Agent, Clarity Agent, Spelling & Grammar Agent.

https://markup.ai/blog/introducing-markup-ai-your-enterprise-content-guardian/

Market Logic launches DeepSights Persona Agents

September 16, 2025 /

Market Logic Software released DeepSights Persona Agents, that transform static customer profiles into dynamic, AI-powered conversational personas.  DeepSights Persona Agents enable real-time, natural language interactions that allow marketing, insights, and product teams to explore and test ideas.

DeepSights Persona Agents are synthetic representations of customer groups, built from segmentation data and behavioural insights. Guided by detailed prompts, each Persona Agent Persona Agent reflects a specific segment’s mindset, behaviours, and preferences.

Business users can engage with personas to ask questions, test creative content, and ideate products or campaigns without waiting for live research.  Conversations can be conducted with one Persona Agent or with several Persona Agents simultaneously in a virtual focus group.

DeepSights Persona Agents are modeled on data unique to each business:

  • Summaries of the reports research teams have already built using quantitative and qualitative data can be incorporated into the platform and transformed into interactive characters.
  • Where companies do not have existing segment analysis, Market Logic can generate interactive personas from transcripts of interviews with their own human customers.

Market Logic provides an implementation service of less than two weeks incorporating setup, testing, and rollout support.

https://marketlogicsoftware.com/news/2025/market-logic-launches-persona-agents-a-breakthrough-in-ai-powered-customer-insight

Adobe releases AI agents for customer experience orchestration

September 10, 2025 /

Adobe announced the general availability of AI agents to help businesses build, deliver and optimize customer experiences and marketing campaigns. Powered by the Adobe Experience Platform (AEP) Agent Orchestrator, Adobe is also creating an AI platform for businesses to manage and customize agents from Adobe and across third-party ecosystems, ensuring agents can understand context, plan multi-step actions, and refine responses. AEP, used by businesses to connect real-time data across their organization, anchors Adobe’s offerings in understanding enterprise data, content and workflows.

Adobe also announced the general availability of AEP Agent Orchestrator, including a reasoning engine to drive contextually relevant and goal-oriented automated actions, with support for refinement using a “human-in-the-loop” approach.

Out-of-the-box agents will be available in Adobe applications such as Real-Time Customer Data Platform, Experience Manager, Journey Optimizer, and Customer Journey Analytics.

  • Audience Agent helps teams create and monitor audiences for personalization initiatives.
  • Journey Agent supports building and optimizing customer journeys across channels.
  • Experimentation Agent analyzes test results and suggests optimizations.
  • Data Insights Agent enables visualization and forecasting from customer signals.
  • Site Optimization Agent flags website issues such as broken links or low-performing pages.
  • Product Support Agent assists users with troubleshooting, case creation, and tracking.

https://news.adobe.com/news/2025/09/adobe-announces-general-availability-ai-agents

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