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Category: Content technology news (Page 1 of 639)

Curated information technology news for content technology, computing, and digital experience professionals. News items are edited to remove hype, unhelpful jargon, iffy statements, and quotes, to create a short summary — mostly limited to 200 words — of the important facts with a link back to a useful source for more information. News items are published using the date of the original source here and in our weekly email newsletter.

We focus on product news, but also include selected company news such as mergers and acquisitions and meaningful partnerships. All news items are edited by one of our analysts under the NewsShark byline.  See our Editorial Policy.

Note that we also publish news on X/Twitter. Follow us  @gilbane

Microsoft adds Anthropic model options for 365 Copilot

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/

Google announces 10 new AI features for Chrome

From the Google Products Blog…

Today we share how we’re using the latest in Google AI to enhance your browsing experience. We’re building Google AI into Chrome across multiple levels so it can better anticipate your needs, help you understand more complex information and make you more productive when you browse the web:

1. Enhance your browsing with Gemini in Chrome

Starting today, we’re rolling out Gemini in Chrome to Mac and Windows desktop users in the U.S. with their language set to English, so you can ask Gemini to clarify complex information on any webpage (or webpages) you’re reading. It’ll be available to businesses in the coming weeks via Google Workspace with enterprise-grade data protections and controls. And we’re also bringing Gemini in Chrome to mobile in the U.S.

2. Get ready for your agentic browsing assistant

In the coming months, we’ll be introducing agentic capabilities to Gemini in Chrome. These will let Gemini in Chrome handle those tedious tasks that take up so much of your time, like booking a haircut or ordering your weekly groceries.

3. Make better sense of all your tabs

Gemini in Chrome can now work across multiple tabs, so you can quickly compare and summarize information across multiple websites to find what you need.

4. Find webpages you previously visited

For those frustrating instances when you want to jump back into a past project but don’t want to scroll through your history to find an important website you previously visited, soon you’ll be able to use Gemini in Chrome to recall it for you.

5. Work with your Google apps without changing tabs

We’ve also built a deeper integration between Gemini in Chrome and your favorite Google apps, like Calendar, YouTube and Maps, so you can schedule meetings, see location details and more without leaving the page you’re on.

6. Search with AI Mode right from the omnibox

You’ll have the option to quickly access Google Search’s AI Mode right from the Chrome address bar (what we call the omnibox) on your computer.

7. Ask questions and learn more about your current page

You can ask questions about the entire page you’re on right from the omnibox. Chrome can suggest relevant questions based on the context of the page to help you kickstart your search.

8. Combat more sophisticated scams with Gemini Nano

Safe Browsing’s Enhanced Protection mode already uses Gemini Nano to help identify tech support scams that try to trick you into downloading harmful software. Soon, we’ll be expanding this protection to also stop sites that use fake viruses or fake giveaways to trick you.

9. Say goodbye to dodgy notifications and unwanted permissions

Chrome now detects potentially spammy or scammy notifications and gives you the option of seeing them or unsubscribing. Since rolling out this feature, we’ve reduced unwanted website notifications for Chrome on Android users by around 3 billion each day.

10. Change compromised passwords in 1-step

Chrome already automatically and securely fills in your login credentials and proactively alerts you if any of your passwords are compromised. Very soon it’ll use AI as a password agent to go a step further, letting you change your saved passwords with a single click on supported sites.

https://blog.google/products/chrome/new-ai-features-for-chrome

Introducing Markup AI: Your enterprise content guardian agent

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

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

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

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

Atlassian to acquire The Browser Company

From the Atlassian blog… (Also see details from The Browser Company)

Building the AI browser for knowledge workers – a browser that helps you do, not just browse.

Today, I’m excited to share an exciting step forward for Atlassian. We’ve entered into an agreement to acquire The Browser Company of New York, the team behind the incredible Dia and Arc browsers.

By combining The Browser Company’s passion for building browsers people love with Atlassian’s deep expertise on how the world’s best teams operate, we have the opportunity to transform how work gets done in the AI era…

Today’s browsers weren’t built for work. They were built for browsing – reading the news, watching videos, looking up recipes. And sure, you may do some of those things in your browser during the workday, but most of those tabs represent a task that needs to get done. A meeting to schedule. A design to review. A work item to update in Jira. A memo to write. Before you know it, it’s hard to see through the forest of tabs.

Knowledge workers need a browser designed for their specific needs, not one that’s been built for everyone on the planet. That’s what we will build with The Browser Company. Our vision is to make Dia the browser:

  • Optimized for the SaaS apps where you spend your day. Whether you’re working in email or a project management tool or a design app, your tabs will be enriched with context that helps move your work forward.
  • Packed with AI skills and your personal work memory to connect the dots between your apps, tabs, and tasks.
  • Built with trust and security in mind Security, compliance, and admin controls will be baked into every aspect of Dia.

https://www.atlassian.com/blog/announcements/atlassian-acquires-the-browser-companyhttps://browsercompany.substack.com/p/your-tuesday-in-2030

Neo4j launches Infinigraph

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

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