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Category: Content technology news (Page 1 of 638)

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

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

Atlassian to acquire The Browser Company

September 4, 2025 /

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-company ■ https://browsercompany.substack.com/p/your-tuesday-in-2030

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/

BrowserStack launches Accessibility Design Toolkit

July 22, 2025 /

BrowserStack, a software testing platform, announced the launch of its Accessibility Design Toolkit, a Figma plugin that helps design teams build accessible products right from the design stage.

BrowserStack’s collaboration with WebAIM on the 2025 WebAIM Million report reveals the scope of the problem: 94.8% of one million analyzed homepages had at least one WCAG failure, with color contrast and missing alt text issues ranking among the top two—both preventable during design.

With over 8,800 ADA lawsuits filed in 2024 and the European Accessibility Act, teams are under pressure to meet standards, yet most still address these issues after launch, when fixes become harder and more expensive.

With BrowserStack’s Spectra Rule Engine, the Accessibility Design Toolkit helps shift accessibility left and enables design teams to:

  • Scan Figma design files for color contrast, touch target size, spacing issues, and more
  • Auto-detect UI components, validate against WCAG standards, and auto-annotate with ARIA roles
  • Get AI-powered suggestions to add alt text, fix heading structure, and improve keyboard focus order
  • Generate developer-ready handoffs with built-in accessibility specs and clear annotations

The Accessibility Design Toolkit is a part of BrowserStack’s all-in-one accessibility suite and is available to all Figma users, integrating into existing workflows.

https://www.browserstack.com/accessibility-design-toolkit

TileDB announces partnership with Databricks to harness multimodal data

July 22, 2025 /

TileDB, a multimodal database company, and Databricks, a Data and AI company, announced a strategic partnership to eliminate data silos preventing healthcare and life sciences organizations from fully leveraging AI-driven drug discovery and clinical insights.

The partnership addresses the challenge of integrating complex scientific data that TileDB supports, including multiomics, medical imaging, and clinical records with the Databricks Data Intelligence Platform and Databricks’ analytics workflows — enabling the development of AI agents that can analyze all data types without requiring costly data migration or transformation.

TileDB addresses offers a sophisticated, omnimodal data management platform, which takes the notion of multimodality beyond text, video, audio, and images, and adds scientific modalities using multi-dimensional arrays. Scientific modalities are ever-evolving, and the omnimodal philosophy can support whatever is the most relevant and important data today. The TileDB – Databricks partnership establishes a bi-directional bridge between specialized data storage and powerful compute capabilities, underpinned by Databricks’ unified data governance model.

The integration is available now in private preview with select customers, and enables data stored in TileDB’s high-performance array database to run on the Databricks Data Intelligence Platform, and vice versa. Additional features will be rolled out in the second half of this year.

https://www.tiledb.com

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