Curated for content, computing, data, information, and digital experience professionals

Category: Content creation and design (Page 1 of 75)

Technologies and strategies for authoring and editing, including word processors, structured editors, web and page layout and formatting, content conversion and migration, multichannel content, structured and unstructured  data integration, and metadata creation. 

Adobe to acquire Topaz Labs

Adobe today announced that it has entered into a definitive agreement to acquire Topaz Labs, an AI company specializing in video and image enhancement models. Topaz Labs provides a broad array of advanced AI models for video and image enhancement that analyze and improve existing visual content by sharpening detail, removing noise, restoring footage and increasing resolution, making them essential for any workflow that combines real-world capture with AI-generated imagery.

With Topaz Labs, Adobe will expand its video and image model offerings with enhanced models in Adobe Firefly, Firefly Services and Creative Cloud apps, giving creators, designers, video professionals, photographers and enterprises more tools to achieve quality across every format and workflow. Topaz Labs AI technology will be integrated across Adobe’s creative AI portfolio, giving creatives the ability to enhance footage, restore and remaster archival content, and blend AI-generated and traditionally captured content into seamless final productions. Topaz Labs will also bring its proprietary Neurostream technology that enables large, complex AI models to run locally on consumer devices, democratizing advanced image and video models previously limited to high-end systems or cloud-only usage and positioning Adobe to tap into the growing opportunity for efficient, on-device AI video.

https://news.adobe.com/news/2026/06/adobe-to-acquire-topaz-labshttps://www.topazlabs.com

New Graphwise Platform & Pulse initiative to accelerate trustworthy agentic AI

Graphwise, (the result of the merger of Ontotext with Semantic Web Company) announced the integration of the Graphwise Platform, which turns fragmented data into measurable, hallucination-free business outcomes. Rather than stitching together and maintaining different software applications to build a secure AI data pipeline, the Graphwise Platform provides organizations with a unified environment by automating the transition from raw, disconnected enterprise data to highly intelligent, autonomous AI.

Graphwise also announced the Graphwise Platform Pulse initiative, a quarterly enterprise initiative and webinar series designed to show organizations how to build a Semantic Backbone and create a reliable infrastructure for Enterprise AI.

The Graphwise Platform builds a semantic layer that connects siloed data, documents, and unique business logic into one trusted source. By giving GenAI a “business brain” that completely understands the business POV, the Graphwise Platform structures data into a web of explicit relationships to create a trusted Semantic Backbone that reduces AI hallucinations and replaces uncertainty with reliable facts.

The Graphwise Platform divides the journey into two phases:

Establish the Structural Foundation

  • Mapping Knowledge Through Taxonomies and Ontologies
  • Making Data Operational Through Graph Automation

Deploying the Semantic Layer and Powering Intelligence

  • Powering AI Applications with GraphRAG
  • Achieving Autonomous AI

https://graphwise.ai/news/taming-probabilistic-llms-using-deterministic-models-new-graphwise-platform-pulse-initiative-to-accelerate-trustworthy-agentic-ai

Canva introduces Canva Grow 2.0

Design has always been at the heart of Canva, and that’s meant more than making things look good. For marketing teams, it’s meant finding new ways to help them move faster, do more with less, and create work that actually drives results. But the tools for creating ads, publishing them, and understanding how they performed were always separate, leaving teams to stitch together their own workflow across platforms and start new campaigns largely from scratch.

Canva Grow 2.0 is designed to help teams stop managing tools and start building better campaigns, Canva Grow 2.0 brings ad creation, publishing, and performance optimization into a single AI-native workflow.

The foundation of Canva Grow 2.0 is an upgraded AI-powered ad creation experience that removes the specialist resource and production time that effective ad creation demands. Drop in your website and Canva Grow pulls in your business information, product visuals, brand colors, and audience signals to generate high-performing static and video ads in moments, ready to customize and launch.

Multi-Platform Ad Insights & Reports brings performance reporting into a single visual experience where you can identify top-performing creative, spot trends across campaigns, build custom reports, and share insights across your team without bouncing between platforms.

https://www.canva.com/newsroom/news/canva-grow

Contentstack introduces Agentic Experience Platform (AXP)

Contentstack, a CMS and digital experience provider, announced its solution for the agent-enabled enterprise: the Agentic Experience Platform (AXP). The announcement includes the general availability of Agent OS, an autonomous agent layer spanning content, data, and real-time personalization, as well as the launch of Agent Accelerator, a program designed to take customers from AI experiment to operational impact. Together, the offerings create a path for organizations to realize value from agentic AI by ensuring adoption, governance, and the integration of AI workflows across content operations and customer data.

Contentstack AXP brings together three core systems that work in coordination:

  • Content Cloud (Unified content foundation): A system for content governance and brand consistency across all digital channels, powered by a headless CMS, Asset Manager, front-end hosting, and Brand Kit for AI-powered brand guardrails.
  • Data Cloud (Real-time context): A system for unification of behavioral and intent signals and data activation powered by Lytics (CDP) and a native personalization engine to ground experiences in customer context.
  • Agent OS (Architecture of action): A workforce of AI agents with the full context of your content and customer data to scale digital operations, powered by Polaris (in-app AI assistant), Agent Builder, and Automations.

https://www.contentstack.com/company/press/contentstack-introduces-its-agentic-experience-platform-axp-with-agent-os-and-agent-accelerator-to-remove-roadblocks-to-enterprise-ai-roi-and-adoption

Bloomreach releases Loomi marketing agent

Bloomreach, a personalization specialist, released its Loomi marketing agent, which converts a single prompt into a fully built campaign workflow. Built on the Loomi agentic personalization platform, which combines data-driven intelligence and AI models, the marketing agent understands customers, not just segments.

Loomi marketing agent enables autonomous campaign creation and optimization, using real customer data to personalize each campaign at the individual level. It builds entire campaigns while giving marketers guardrails and control.

  • Conversational Campaign Building: Marketers tell the agent what they want to achieve; the agent builds the campaign in minutes.
  • AI Segmentation and Targeting: Loomi combines its knowledge of marketing use cases and a brand’s customer data to build the best fitting audience for the campaign.
  • Content Creation and Personalization: The agent generates campaign content using brand voice, customer data, and intent signals, so every email or message reads as if it were built for the person receiving it.
  • Journey Orchestration and AI Timing: Behavior-triggered automations are powered by real-time signals, with AI determining the optimal message and moments to reach each individual.
  • Built-In Guardrails and Security: Campaigns remain reviewable and adjustable. Teams stay in control while agents handle the heavy lifting, backed by enterprise-ready privacy and security features including audit trails, GDPR compliance, and granular access roles.

https://www.bloomreach.com/en/news/2026/bloomreach-announces-the-general-availability-of-loomi-marketing-agent/

Form. io and Contentstack formalize partnership

Form .io, an enterprise data platform for regulated industries and government agencies, today announced a formal partnership with Contentstack, the provider of the Agentic Experience Platform (AXP). The partnership recognizes an integration pattern already running in production across regulated industries — and gives joint customers a clearer path toward modern digital experience infrastructure.

Enterprises building on composable architectures have long needed two things to work together: a content layer that can deliver experiences across any channel, and a data collection layer that can hold up under compliance scrutiny and complex UX demands. For organizations in healthcare, financial services, and government, those requirements don’t trade off. Both have to be true at once.

Contentstack handles content, natively unifying structured content, real-time data, and autonomous AI orchestration. Form.io handles data collection — compliant by design, auditable from the moment of capture, and always inside the customer’s own environment. Together, they give regulated enterprises a composable experience layer that moves fast and a data collection layer that holds up when compliance calls.

For organizations in healthcare, financial services, and government, that combination is the baseline — modern digital experiences built on infrastructure that was designed for the environments they actually operate in.

https://form.io/press/form-io-and-contentstack-formalize-partnership-to-bring-governed-data-collection-to-adaptive-digital-experiences/https://www.contentstack.com

Acclaro launches multimedia localization orchestration platform

Acclaro, a provider of content intelligence solutions that helps brands communicate with purpose, precision and global impact, announced the launch of Acclaro Multimedia Orchestration, a purpose-built, AI-powered solution set to transform how organizations localize and distribute multimedia content.

Acclaro Multimedia Orchestration combines AI-powered technologies with the company’s human expertise in localization, translation, subtitling, dubbing, lip syncing, and voiceover. By integrating AI into Acclaro’s existing services, organizations can localize multimedia more efficiently, and across a broader range of global distribution channels, to make multilingual content delivery fast, accurate, and scalable.

The holistic solution supports every stage of multimedia globalization across video, audio, and image formats, for both pre-recorded and live content. Flexible workflows range from fully human driven to fully AI automated, enabling organizations to tailor localization approaches to their quality, speed, and scale requirements. Features include:

  • Subtitling with AI-driven translation into 100+ target languages in real-time.
  • Dubbing, Voice Cloning and Audio Separation for multilingual audio content.
  • Voiceover from transcription to recording to quality assurance testing.
  • Lip Synching across multiple languages.
  • Video Personalization for end-to-end video production workflows, from ideation to distribution.
  • Creative Asset Localization enabling organizations to translate images and design files with AI-powered layout adaptation and collaboration tools.

https://www.acclaro.com/news/acclaro-launches-multimedia-localization-platform

Uniform updates Scout DXP for humans and agents

Uniform, an agentic digital experience platform (DXP), announced a significant upgrade to its agentic AI, Scout. The release reflects a broader investment in what Uniform calls “dual-audience composition”: serving both the humans visiting a website and the AI agents acting on their behalf.

Uniform’s orchestration layer composes content, data, and commerce from across the technology stack and exposes it through surfaces both audiences can use: visual editing and personalization for human experiences, structured content models and MCP endpoints for agent consumption.

Five capabilities anchor the upgrade, each designed for a single operator to serve both human visitors and the AI agents:

Skills. Teams encode the brand voice, design system, audit criteria, and editorial standards as reusable instructions for Scout to follow automatically.

Third-party MCP server connectivity. Scout connects to any tool exposing a Model Context Protocol server, from Linear to Slack to analytics platforms.

Vector search across every entry, composition, and component. Natural language queries surface content by meaning, not keywords.

Expedited bulk operations. Describe a pattern in natural language, and Scout executes it across the entire content base in a single operation.

Autonomous mode and review mode. Every Scout action can run directly from the prompt or require approval.

https://www.uniform.dev

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