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

Category: Content creation and design (Page 18 of 72)

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. 

Ontotext releases Ontotext Metadata Studio 3.7

Ontotext, a provider of enterprise knowledge graph (EKG) technology and semantic database engines, announced the availability of Ontotext Metadata Studio (OMDS) 3.7, an all-in-one environment that facilitates the creation, evaluation, and quality improvement of text analytics services. This latest release provides out-of-the-box, rapid natural language processing (NLP) prototyping and development so organizations can iteratively create a text analytics service that best serves their domain knowledge. 

As part of Ontotext’s AI-in-Action initiative, which helps data scientists and engineers benefit from the AI capabilities of its products, the latest version enables users to tag content with Common English Entity Linking (CEEL), text analytics service. CEEL is trained to tag mentions of people, organizations, and locations to their representation in Wikidata – the public knowledge graph that includes close to 100 million entity instances. With OMDS, organizations can recognize approximately 40 million Wikidata concepts, and  streamline information extraction from text and enrichment of databases and knowledge graphs. Organizations can:

  • Automate tagging and categorization of content to facilitate more efficient discovery, reviews, and knowledge synthesis. 
  • Enrich content, achieve precise search, improve SEO, and enhance the performance of LLMs and downstream analytics.
  • Streamline information extraction from large volumes of unstructured content and analyze market trends.

https://www.ontotext.com/products/ontotext-metadata-studio/

Grammarly announces general availability of App Actions

Grammarly announced the general availability of its app actions feature for all business, individual, and education customers. App actions enable customers to complete actions in popular third-party applications wherever writing with Grammarly is happening, making it easier to get work done without wasting time switching between tools, so teams stay focused and efficient. 

Grammarly is able to provide a connective layer across apps and workflows because it works where people do, on over 500,000 apps and websites. With app actions, customers can: 

  • Find, link to, or create new tasks to manage work in Asana, Atlassian Jira, monday.com, Smartsheet, and Wrike
  • Find and link to a file or page in Atlassian Confluence, Google Drive, Microsoft OneDrive, and Microsoft SharePoint
  • Reference, link to, or create a new contact in HubSpot
  • Access, format, and share links to schedule meetings via Calendly
  • Find and insert animations and images from GIPHY and Unsplash

The app actions feature maintains all of Grammarly’s enterprise-grade security and privacy practices and commitment to responsible AI. All app actions are available today for all Grammarly Business, Premium, and Education customers, and Grammarly Free users benefit from connections to GIPHY and Unsplash.

https://www.grammarly.com/app-actions

Optimizely integration with Writer now live

Optimizely, a digital experience platform (DXP) provider, has announced that a new product integration with Writer, the enterprise-focused generative AI platform, is now live. The integration comes after the official partnership announcement in October and equips the Optimizely Content Marketing Platform (CMP) with AI capabilities that enable joint customers to use industry-specific LLMs to develop content that is relevant, compliant, and consistent with their existing brand tone and voice, and tailored to industry audiences to simplify the content marketing lifecycle.

Writer’s integration into Optimizely will leverage the Palmyra, the Writer-built family of large language models, to enhance AI-powered content generation capabilities and chat features across Optimizely applications. Palmyra LLMs are transparent and auditable, top-scoring on benchmarks like Stanford HELM, and keep customers’ data private. They are coupled with the Writer-built graph-based RAG Knowledge Graph, AI guardrails to enforce brand and compliance rules, and a flexible application layer that serves a wide range of use cases, resulting in an AI platform that meets unique enterprise needs.

https://www.optimizely.comhttps://writer.com

Otter.ai announces Meeting GenAI

Otter.ai, an AI-powered meeting assistant introduced Meeting GenAI, a set of AI tools that unlocks insights of your company’s meeting history. Otter is already integrating advanced GenAI across its platform, elevating the role of meeting minutes from passive records to dynamic repositories of collective knowledge and actionable insights. Highlights of Meeting GenAI: 

  • Otter AI Chat across all your meetings: Get answers to questions and generate content like emails and status updates using Otter AI Chat which now can access all of your meetings, not just a single meeting.
  • AI Chat in Channels: Chat with Otter AI Chat and team members using a collaborative AI Chat, making it easier to keep the team aligned and drive work forward with greater transparency and speed.
  • AI Conversation Summary View: Identify action items with assignments in real time and get a live narrative summary to ensure swift execution and accountability.

The heart of Meeting GenAI lies in the new multi-conversation capabilities for Otter AI Chat. This feature transcends AI chat focused on individual meetings by allowing users to tap into the collective wisdom gleaned from past meetings no matter which platform those discussions happened.

https://otter.ai

Join Bluesky today (bye, invites!)

Via the Bluesky Blog…

Bluesky is building an open social network where anyone can contribute, while still providing an easy-to-use experience for users. For the past year, we used invite codes to help us manage growth while we built features like moderation tooling, custom feeds, and more. Now, we’re ready for anyone to join.

To mark the occasion, we teamed up with Davis Bickford, an artist on the network, to share why we’re excited about Bluesky. And if deep dives are more your style, we worked with Martin Kleppman, author of Designing Data-Intensive Applications and technical advisor to Bluesky, to write a paper that goes into more detail about the technical underpinnings of Bluesky.

In the coming weeks, we’re excited to release the labeling services which will allow users to stack more options on top of their existing moderation preferences. This will allow other organizations and people to run their own moderation services that can account for industry-specific knowledge or specific cultural norms, among other preferences.

When you log in to Bluesky, it might look and feel familiar — the user experience should be straightforward. But under the hood, we’ve designed the app in a way that puts control back in your hands. Here, your experience online isn’t controlled by a single company.

This month, we’ll be rolling out an experimental early version of “federation,” or the feature that makes the network so open and customizable.

https://bsky.social/about/blog/02-06-2024-join-bluesky

Apple releases AI model for instruction-based image editing

via The Verge…

Apple released an open-source AI model, called “MGIE,” that can edit images based on natural language instructions. MGIE (MLLM-Guided Image Editing), leverages multimodal large language models (MLLMs) to interpret user commands and perform pixel-level manipulations. The model can handle various editing aspects, such as Photoshop-style modification, global photo optimization, and local editing. MGIE is the result of a collaboration with researchers from the University of California, Santa Barbara.

MGIE integrates MLLMs into the image editing process in two ways: First, it uses MLLMs to derive expressive instructions from user input. For example, given the input “make the sky more blue”, MGIE can produce the instruction “increase the saturation of the sky region by 20%.”

Second, it uses MLLMs to generate visual imagination, a latent representation of the desired edit. This representation captures the essence of the edit and can be used to guide the pixel-level manipulation. MGIE’s training scheme jointly optimizes the instruction derivation, visual imagination, and image editing modules.

MGIE is available as an open-source project on GitHub. The project provides a demo notebook that shows how to use MGIE for various editing tasks. Users can also try out MGIE through a web demo at Hugging Face Spaces.

https://venturebeat.com/ai/apple-releases-mgie-a-revolutionary-ai-model-for-instruction-based-image-editing/

Quark announces QPP NextGen v3.3

Quark Software, a global provider of content automation, intelligence and design software, today announced the newest release of Quark Publishing Platform (QPP) NextGen, its cloud-based content automation platform that simplifies the complexities associated with the entire enterprise content lifecycle management process, from creation to consumption, in a fully integrated CCMS.

QPP NextGen v3.3 includes new content workflow visualization capabilities that help content teams understand the impact of change across content workflows. Additionally, newly available self-service Microsoft Excel data integration options for content authors reduces IT dependency and helps eliminate errors when creating data-rich documentation.

With QPP NextGen v3.3, Quark has infused more features within Quarky AI – the company’s enterprise AI copilot that works with customer’s own AI services and LLMs. It delivers real-time visibility to address inefficiencies, ensure compliance when working with sensitive information, and offers fast access to Microsoft Excel data for content authors to analyze and organize large amounts of componentized, reusable content quickly and efficiently.

New features and benefits available in the latest v3.3 release of QPP NextGen include:

  • Visualization Workflows
  • Access to Microsoft Excel Data
  • Improved Security Posture
  • Improved Search and Discovery of Content
  • Prioritize Content Attributes

https://www.quark.com/whats-new-quark-publishing-platform

ActionIQ announces CXAI to integrate GenAI data & GenAI content

ActionIQ, an Enterprise Customer Data Platform, announced the launch of CXAI, a suite of AI-enabled solutions purpose-built for customer experience (CX), marketing, and data teams. The first CXAI release introduces two modules, CXAI Data and CXAI Content. Together, these capabilities are meant to help marketers deliver personalized creative content to individual audience members.

CXAI Data

  • GenAI Audiences. An audience co-pilot for marketers, bringing a natural language interface to GenAI for marketers to build audiences, analyze performance, and uncover insights. Marketers can design the audiences and experiences they want, in their own language, without requiring SQL or data expertise.
  • AI Decisioning & Analytics. A new decisioning engine for personalizing customer experiences. AI Decisioning makes recommendations and optimizes for the best audience, products, offers, lookalikes, channel preference, and more. AI Decisioning can use out-of-the-box models, custom models, or in-house models.

CXAI Content. Today, we are announcing an exciting new partnership with Typeface, a generative AI platform for enterprise content creation. With ActionIQ CXAI Content and Typeface Multimodal Content Hub integration, marketers and designers create customized, on-brand content that aligns with ActionIQ’s audiences, and can be activated across any channel.

https://www.actioniq.com/newsroom/actioniq-announces-cx-ai-genai/

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