Curated for content, computing, and digital experience professionals

Category: Content creation and design (Page 9 of 63)

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. 

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/

Pega introduces Pega GenAI Knowledge Buddy

Pegasystems Inc., announced Pega GenAI Knowledge Buddy, a generative AI assistant to enable customers and employees to get specific answers synthesized by generative AI from content scattered across knowledge bases.

With Knowledge Buddy, customers and employees can ask questions through conversational interfaces and get specific, accurate, audited, and concise responses – with transparent attribution to source content. Users can also ask Knowledge Buddy to generate new content, such as emails or documents, based on their existing libraries. Additionally, security features give organizations control over user access rights as well as transparency to understand how and from where the technology pulls information. Content authors will be able to add, update, or delete knowledge, with all actions managed and audited by Pega’s workflow automation. 

Organizations will be able to configure unique Buddies for different use cases – such as answering marketing, operations, sales, or service questions – and quickly integrate them into any internal system or digital channel.

Pega Knowledge Buddy also connects to knowledge libraries within Pega Knowledge Management, which allows organizations to build, manage, and optimize content by assisting content authors and managers during the curation process and enables content versioning and lifecycle management.

https://www.pega.com/products/genai-knowledge-buddy

Altova announces MobileTogether 9.0

Altova announced the release of MobileTogether 8.1, its low-code app development platform for building enterprise solutions and native apps for iOS, Android, and Windows. This release introduces full support for MQTT, allowing developers to build MQTT-enabled apps for communication among smart devices.

MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol used for communication by smart devices. MQTT is a critical component of real-time monitoring and control of devices and processes in a wide variety of industries including automotive, manufacturing, transportation, and healthcare. MQTT enabled apps are invaluable for realizing the potential of smart devices in industrial automation as well as smart home and smart office scenarios.

MobileTogether 9.0 introduces complete support for building MQTT enabled apps with new actions, page events, and variables for interacting with an MQTT network as a publisher, a subscriber, or both. Also new in MobileTogether 9.0:

  • Support for table row dragging
  • Support for table row swiping
  • Native support for MySQL and MariaDB
  • Support for drawing barcodes and QR codes
  • Chart generation on clients
  • Page source tree editing during simulation
  • Dark and light themes for MobileTogether Designer
  • Solution aliases on the server
  • Support for multiple row groups per table
  • New button looks

https://www.altova.com/whatsnew

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