Category: Content management & strategy (Page 3 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/

Bloomreach and Uniform unveil turnkey conversational commerce framework

October 22, 2025 / NewsShark

Bloomreach, an agentic platform for personalization, and Uniform, a composable digital experience platform, today announced a turnkey AI solution unveiled at the MACH Alliance’s AI Hackathon taking place from October 21-22. Powered by the Open Data Model from MACH Alliance, the solution showcased how composable technology and generative AI can be seamlessly combined, enabling any brand to build conversational experiences that help them retain control of their customer relationships.

Built on AWS, the solution aggregates product catalogs from multiple commerce platforms through Uniform, and enriches them with AI-driven tagging, normalization, and metadata optimization. Then, the product data flows into Bloomreach Clarity, where it powers a fully conversational shopping interface — allowing customers to browse, compare, and shop via natural dialogue.

https://www.bloomreach.com/en/news/2025/bloomreach-and-uniform-to-unveil-new-turnkey-conversational-commerce-framework/ ■ https://www.uniform.dev ■ https://machalliance.org

Graphwise launches Graph AI Suite

October 16, 2025 / NewsShark

Graphwise, announced Graph AI Suite, a comprehensive Graph AI platform that accelerates how businesses unlock value from their data. It turns enterprise knowledge into a self-improving engine for trustable AI by leveraging GraphRAG. The platform’s capabilities simplify how organizations build intelligent knowledge graphs that continuously learn at scale.

Modeling & Mapping: Allows organizations to build a graph from structured and unstructured data, including automated taxonomy building. It helps them mature from “text on a document” toward “structured content” and, eventually, a knowledge graph, improving GraphRAG performance.
Ingestion & Automation: These components connect to arbitrary systems and support specific use cases for each organization, enabling integration with LLMs such as Gemini, Llama, and others and agentic AI platforms.
Semantic Analysis: Automatically moves content toward a knowledge graph by creating taxonomies and enterprise vocabularies. It drives semantic metadata enrichment across data silos, building the basis for a highly accurate GraphRAG infrastructure. A key part of the AI Flywheel, it makes the platform easy for subject matter experts to use.
GraphRAG: This is the Graph AI Suite’s core capability for delivering trustworthy AI. It uses the knowledge graph to furnish the LLM accurate, context-rich and semantically relevant data, mitigating hallucinations and ensuring responses are grounded in verifiable facts.

http://www.graphwise.ai/

Google announces Gemini Enterprise

October 9, 2025 / NewsShark

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 / NewsShark

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 / NewsShark

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 / NewsShark

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:

Organization: A unified catalog for registering and searching across all modalities, supporting rich metadata filters and LLM-powered discovery
Structuring: Leveraging TileDB’s shape-shifting array technology to efficiently capture any complex data type, optimized for cloud storage backends
Collaboration: Teamspaces that function as secure data products, enabling users to create, share, and audit access to diverse assets within data clean rooms
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 / NewsShark

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 / NewsShark

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/

Category: Content management & strategy (Page 3 of 483)

Bloomreach and Uniform unveil turnkey conversational commerce framework

Graphwise launches Graph AI Suite

Google announces Gemini Enterprise

commercetools Previews Cora

Grafana Labs releases Grafana Assistant

TileDB launches Carrara, an omnimodal data intelligence platform

Microsoft adds Anthropic model options for 365 Copilot

Introducing Markup AI: Your enterprise content guardian agent

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