The Gilbane Advisor

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Category: Content management & strategy (Page 1 of 480)

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/

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

Optimizely debuts agent orchestration platform

September 10, 2025 /

Optimizely, a digital experience platform (DXP) provider, announced agentic capabilities to enhance its AI offering, Optimizely Opal. Opal now gives marketing and digital teams access to a library of specialized agents, the ability to build their own agents, and a drag-and-drop interface to orchestrate workflows that connect with existing data and tools.

Optimizely also recently introduced a GEO-ready CMS, a visibility engine made for AI-powered search. With capabilities for both page and site-wide optimization, as well as GEO analytics, the CMS helps ensure content gets found and stays seen as tools like ChatGPT, Perplexity, and Gemini are increasingly used as search engines.

The platform includes a library of dozens of ready-to-use, specialized AI agents that customers can deploy immediately into their operations. These agents cover a wide range of tasks—from drafting and scheduling content to checking copy for legal or compliance issues, and from conducting competitive research to analyzing web performance with Google Analytics. They are also built to work across Optimizely products, including CMS, CMP, and Experimentation.

Marketers can connect Opal to their existing data sources or plug in third-party tools, ensuring agents work with relevant, real-time context. Users can also access Opal directly through Slack.

https://www.optimizely.com/company/press/ai-orchestration-platform

Neo4j launches Infinigraph

September 4, 2025 /

Neo4j, a graph database and analytics platform, unveiled Infinigraph: a new distributed graph architecture available in Neo4j’s self-managed offering. Infinigraph enables Neo4j’s database to run operational and analytical workloads together in a single system at 100TB+ scale, without fragmenting the graph, duplicating infrastructure, or compromising performance.

Teams can run both types of workloads in the same system, without ETL pipelines, sync delays, or redundant infrastructure. It can power autonomous agents, compliance systems, and transactional applications on one consistent source of connected truth. Teams can detect fraud and analyze fraud rings from the same dataset. They can generate real-time customer recommendations while analyzing decades of customer data and behavioral trends.

The database guarantees full ACID compliance so that every read, write, and update is consistent, reliable, and recoverable, even with billions of relationships and thousands of concurrent queries run in real time.

The new architecture uses sharding that distributes the graph’s property data across different members of a cluster. The graph stays logically whole, queries behave as expected, and applications scale without code changes or manual workarounds.

Infinigraph is available now as part of Neo4j’s Enterprise Edition and will soon be available in AuraDB, Neo4j’s cloud-native platform for graph applications.

https://neo4j.com/press-releases/neo4j-launches-infinigraph

DeepL expands real-time voice translation capabilities

July 23, 2025 /

DeepL, a global Language AI company, announced several updates to its live speech translation solution, DeepL Voice, including expanded language support and advanced meeting productivity features, with Zoom Meetings integration coming soon.

DeepL Voice provides multilingual speech translation in real time, both virtually and in person. DeepL Voice for Meetings provides translated captions during virtual meetings, while DeepL Voice for Conversations offers instant speech translation on mobile for dynamic face-to-face interactions. Updates include:

  • Expanded language coverage: DeepL Voice now supports spoken input in three additional languages – Mandarin Chinese, Ukrainian, and Romanian – adding to its existing lineup (English, German, Japanese, Korean, Swedish, Dutch, French, Turkish, Polish, Portuguese, Russian, Spanish and Italian). Translated captions are available in 35 languages supported by DeepL Translator, with new additions Vietnamese and Hebrew.
  • Enhanced meeting productivity features: Full transcripts and translations from meetings to streamline notes, minutes and follow-up tasks can be downloaded with dedicated admin controls to maintain enterprise-level security and compliance.

DeepL Voice for Meetings will soon be available for Zoom Meetings, expanding beyond its existing Microsoft Teams integration to make multilingual communication accessible on the virtual meeting platform. For in-person interactions, DeepL Voice for Conversations continues to be available on iOS and Android.

https://www.deepl.com/en/products/voice

Bloomreach and Snowflake partner

July 22, 2025 /

Bloomreach, a platform for personalization, today announced a new partnership with the Snowflake AI Data Cloud, empowering businesses to activate enterprise-grade data infrastructures across marketing channels. With Bloomreach and Snowflake, businesses can combine customer engagement with maximum personalization, connecting customer data stored in Snowflake with Bloomreach’s AI-powered marketing solutions. This partnership ensures marketers can activate their Snowflake data instantly and intelligently through Bloomreach.

Bloomreach’s native Snowflake integration is already available to businesses. It securely syncs customer attributes, event data, and product catalogs from Snowflake into Bloomreach. Businesses unlock the full value of their customer data, breaking down silos between storage and activation, and enabling personalization powered by AI.

Additionally, this integration enables marketing teams to:

  • Power Loomi AI agents in Bloomreach with enriched customer and product intelligence
  • Automate campaign triggers based on Snowflake events
  • Deliver timely personalization with fresh data and hyper-relevant insights
  • Safeguard sensitive data through selective import capabilities, transferring only the specific data required for a given use case

https://www.bloomreach.com/en/news/2025/bloomreach-and-snowflake-partner-to-unify-customer-data-and-ai-driven-activation-helping-marketers-personalize-the-entire-customer-journey/

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