Curated for content, computing, and digital experience professionals

Year: 2024 (Page 12 of 15)

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

Bard becomes Gemini: new Ultra 1.0 and mobile app    

via the Google Blog…

Gemini represents our most capable family of models. To reflect this, Bard will now simply be known as Gemini.

You can already chat with Gemini with our Pro 1.0 model and now, we’re bringing you two new experiences — Gemini Advanced and a mobile app — to help you easily collaborate with the best of Google AI.

Gemini Advanced — gives you access to Ultra 1.0, our largest and most capable state-of-the-art AI model. With Ultra 1.0 Gemini Advanced is far more capable at complex tasks like coding, logical reasoning, following nuanced instructions and collaborating on creative projects. Gemini Advanced not only allows you to have longer, more detailed conversations; it also better understands the context from your previous prompts.

Gemini Advanced is available as part of our new Google One AI Premium Plan for $19.99/month, starting with a two-month trial at no cost.

We’ve heard that you want an easier way to access Gemini on your phone. So today we’re starting to roll out a new mobile experience for Gemini and Gemini Advanced with a new app on Android and in the Google app on iOS.

https://blog.google/products/gemini/bard-gemini-advanced-app/

Digimarc releases their next-generation digital watermarks

Digimarc Corporation a provider of digital watermarking technologies, announced the availability of its next-generation digital watermarks featuring more advanced security and greater access control. Digimarc’s next-generation digital watermarks have also been optimized to efficiently address multiple use cases while simultaneously delivering pronounced improvements in both imperceptibility and performance. The latest improvements include:

Advanced Security — Digimarc digital watermarks leverage enhanced encryption techniques requiring an authorized private key to detect and decode, strengthening data security by ensuring information is protected in transit to and from the Digimarc Illuminate platform (cloud or edge server).

Greater Control — Data access controls allow companies to provide different audiences with different information for different purposes. Access to the data associated with the digital watermarks can also be limited, revoked, or changed at any point and in real time.

Improved Adaptability — Digimarc digital watermarks retrieve dynamic data from the Digimarc Illuminate platform (cloud or edge server), delivering specific information based on context, purpose, and permissions.

Increased Imperceptibility — Our latest advancements in digital watermarking technology deliver increased covertness and more robust reading performance.

Extended Distance Detection — Digimarc digital watermarks are optimized to leverage improvements in machine vision and inspection camera technology to increase distance reading.

https://www.digimarc.com/press-releases/2024/02/07/digimarc-releases-next-generation-digital-watermarks

Gilbane Advisor 2-7-24 — RAG recursive retrieval, AI for 3D rendering

This week we feature articles from Chia Jeng Yang, and Antoine Vidal.

Additional reading comes from AI2 Blog, Jarno van Driel, Anthony Alcaraz, and Manuel Faysse.

News comes from Fivetran & dbt Labs, Mindbreeze & Ariza, Box, and Quark.

All previous issues are available at https://gilbane.com/gilbane-advisor-index


Opinion / Analysis

Advanced RAG and the 3 types of recursive retrieval

Chia Jeng Yang…
“In this article, we dive into the different ways to use Recursive or Iterative Retrieval to help develop self-learning RAG systems that are able to learn over time, and to deeply explore unstructured data, either autonomously, or in directions that you point the knowledge graph to.” (7 min)

https://medium.com/enterprise-rag/advanced-rag-and-the-3-types-of-recursive-retrieval-cdd0fa52e1ba

Using AI for 3D rendering — a practical guide for designers

Antoine Vidal…
“The slow, meticulous process of creating high-quality renders is often incompatible with the fast pace required from early concept ideation. How do we find that balance?” (11 min)

https://uxdesign.cc/using-ai-for-3d-rendering-a-practical-guide-for-designers-a2a037ed1ad0

More Reading

All Gilbane Advisor issues


Content technology news

Fivetran introduces dbt Cloud orchestration integration

Integration enables joint customers to automate transformations post data load, reducing latency, cutting costs, and unlocking data’s potential.
https://www.fivetran.com/data-movement/transformations/dbt-cloud ■ https://www.getdbt.com/product/dbt-cloud

Mindbreeze and Ariza Content Solutions partner

The partnership expects to employ and enhance insights & search experiences and provide companies with better content management capabilities.
https://inspire.mindbreeze.com ■ https://www.arizacs.com

Box announces Box App for Apple Vision Pro

The uniquely immersive experiences and infinite desktop of visionOS transforms how people work with content in the secure Box Content Cloud.
https://blog.box.com/box-apple-vision-pro-brings-your-enterprise-content-life

Quark announces QPP NextGen v3.3

Newest release of Quark Publishing Platform NextGen includes more built-in AI functionality to transform content operations processes.
https://www.quark.com/whats-new-quark-publishing-platform

All content technology news


The Gilbane Advisor is authored by Frank Gilbane and is ad-free, cost-free, and curated for content, computing, web, data, and digital experience technology and information professionals. We publish recommended articles and content technology news weekly. We do not sell or share personal data.

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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/

Franz announces Gruff 9

Franz Inc., an early innovator in Artificial Intelligence (AI) and supplier of knowledge graph technology for Neuro-Symbolic AI applications, announced Gruff 9, a web-based advanced knowledge Graph visualization tool that offers no-code queries, hypergraphs, dynamic graph displays, LLM integration and RDF* (RDFStar) features for building next-generation AI applications.

Gruff 9 provides users the ability to embed natural language LLM queries in SPARQL and visualize and explore the connections displayed in the results. Gruff now provides a unique visualization solution for the emerging RDF* standard from W3C.  The RDF* standard is an improvement over the labeled property graph approach (supported by other vendors) as it allows full hypergraph capabilities.

Gruff 9 is included with AllegroGraph Cloud, Franz’s hosted version of its Neuro-Symbolic AI platform. Gruff and AllegroGraph Cloud offers users a convenient and easy on-ramp to building advanced AI applications.

Franz Inc. recently announced AllegroGraph 8, its Neuro-Symbolic AI Platform that incorporates Large Language Model (LLM) components directly into SPARQL along with vector generation and vector storage for a comprehensive AI Knowledge Graph solution.

https://allegrograph.com/products/gruff/

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