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Category: Content technology news (Page 1 of 640)

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 delivers new AI assistants and models across Creative Cloud

October 28, 2025 /

Adobe announced new AI features across Creative Cloud apps including Photoshop, Lightroom, Premiere, and Illustrator. The updates focus on improving efficiency, precision, and control for creative professionals.

Highlights include the AI Assistant in Photoshop, which can handle repetitive tasks, provide personalized recommendations, and support conversational editing while allowing seamless switching to manual tools. Photoshop also gains Generative Fill with partner models, Generative Upscale using Topaz Labs and other partners, and Harmonize for blending objects naturally into scenes. Premiere introduces AI Object Mask, shape-based masking tools, and Fast Vector Mask in public beta for faster video editing. Lightroom receives an AI Assisted Culling feature to help manage large photo collections.

Firefly enhancements include Image Model 5 in public beta for 4MP photorealistic generation and editing, Prompt to Edit for natural language adjustments, and planned Layered Image Editing. Firefly Boards adds Rotate Object for 2D-to-3D perspectives, PDF export, and batch image downloads. Firefly Creative Production supports no-code batch editing of thousands of images. Firefly Custom Models let users create personalized models for stylistically consistent outputs.

Many features are in public or private beta, with partner models from Google, Black Forest Labs, Topaz, and others integrated directly into Adobe apps, available to Creative Cloud Pro and Firefly plan subscribers.

https://news.adobe.com/news/2025/10/adobe-max-2025-creative-cloud

MariaDB unveils unified cloud database platform

October 22, 2025 /

MariaDB plc announced the availability of MariaDB Enterprise Platform 2026, a database platform for building next-generation intelligent applications. This new release reduces complexity by unifying transactional, analytical and AI (vector) database engines into a single platform. With the addition of retrieval-augmented generation (RAG) pipelines and AI agents, MariaDB Enterprise Platform is designed to create a strategic advantage for enterprises building agentic applications. Instead of complex, slow data pipelines, AI agents can now autonomously access data and extract critical insights from MariaDB’s cloud-native, serverless platform instantly.

  • Built-in RAG: MariaDB Enterprise Platform 2026 introduces a native “RAG-in-a-Box” solution. MariaDB AI RAG enables the grounding of large language models (LLMs) with context from the data stored in MariaDB.
  • Embedded AI Copilots: MariaDB’s AI copilots are ready-to-use agents inside MariaDB’s platform allowing agentic applications to interact with data through natural language. Available via MariaDB Cloud, preconfigured agents include a developer and a DBA AI copilot. The developer copilot is a Text-to-SQL agent connected to MariaDB’s database that responds to natural language queries with insights on the data stored in your database.
  • Integrated MCP Servers: The Model Context Protocol (MCP) Servers enable AI Agents to interact with MariaDB databases and other databases across the enterprise.

https://mariadb.com/newsroom/press-releases/mariadb-unveils-unified-cloud-database-platform-designed-to-accelerate-agentic-ai-application-development

Bloomreach and Uniform unveil turnkey conversational commerce framework

October 22, 2025 /

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 /

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 /

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

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