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Tridion unites web content, structured content and headless delivery

RWS, a provider of technology-enabled language, content and intellectual property services, announced the launch of its next major release of Tridion, RWS’s intelligent multilingual content management system. The platform combines web content, structured content and headless delivery in a single solution, for organizations with heavy content demands.

The new platform helps clients to better orchestrate the creation, management, translation and delivery of content to any digital touchpoint across the customer journey. It means that customers, employees and partners can expect a consistent experience, in their own language, on any device or channel. Includes: 

  • Headless Delivery – fine-grained access to content components and semantic modeling of headless content.
  • Content Discovery – now also natively provides additional content services such as intelligent content recommendations.
  • Content Security – further modernized features for access management, authentication and audit trails.
  • User Experience and Workflow –simplified and aligned with daily user tasks with a direct impact on productivity for both web content and long-form structured content.
  • Content Globalization – further streamlined translation workflows integrated with RWS’s translation technology. 

Tridion Docs 15, Tridion Sites 10, an updated version of Tridion Dynamic Experience Delivery (DXD) and new embedded version of Fonto for structured content authoring, will be available in July 2023.

https://www.rws.com

Sinequa enhances platform for scientific search and clinical trial data

AI-powered search provider Sinequa has announced domain-specific enhancements to its intelligent search platform for Scientific Search and Clinical Trial Data. Its search platform now utilizes new Neural Search and ChatGPT capabilities for faster, more effective discovery and decisions in drug development and clinical research. Sinequa will present these capabilities at the 2023 Bio-IT World Conference, May 16-18, at the Boston Convention and Exhibition Center, during conference sessions and at booth #803 in Auditorium Hall C. 

Combining the capabilities of Sinequa Neural Search – multiple deep learning and large language models for natural language understanding (NLU) – with the latest ChatGPT models through Azure OpenAI Service, Sinequa enables accurate, fast, traceable semantic search, insight generation, and summarization. Users can query and converse with a secure corpus of data, including proprietary life science systems, enterprise collaboration systems, and external data sources, to answer complex and nuanced questions. Comprehensive search results with high relevance and the ability to generate concise summaries enhance R&D intelligence, optimize clinical trials, and streamline regulatory workflows. 

https://www.sinequa.com/enterprise-search-for-industries/healthcare-life-science/

Adobe and Google integrating Firefly and Bard

Adobe and Google are partnering to bring Firefly to Bard, Google’s experimental conversational AI service, with the ability to continue the creative journey further in Adobe Express. With the new Bard by Google integration, users at all skill levels will be able to describe their vision to Bard in their own words to create Firefly generated images directly in Bard and then modify and use them to create designs via Express.

Because Firefly has the CAI’s Content Credentials on by default, every image created in Bard using Firefly will have transparency built in. The CAI’s Content Credentials are a free, open-source tool that serve as a digital “nutrition label.” Content Credentials can show information such as name, date, the tools used to create an image and any edits made to that image. They remain associated with content wherever it is used, published or stored, enabling proper attribution and helping consumers make informed decisions about digital content.

Firefly’s first model is trained on Adobe Stock images, openly licensed content and public domain content where copyright has expired. Enterprise businesses will be able to train Firefly with their own creative collateral in order to generate content in the company’s brand language.

https://www.adobe.com/sensei/generative-ai/firefly.html

MindsDB and Nixtla enhance time-series forecasting

MindsDB, an open-source applied machine learning platform, announced full integration with Nixtla, an open-source ecosystem that offers time-series forecasting.

Time-series forecasting refers to making scientific predictions based on historical, time-stamped data. It allows data scientists to employ models to predict a future value or classification at a particular point in time, such as forecasting power demand, call volumes, inventory requirements, or supply and demand.

Nixtla offers libraries specifically for time-series forecasting. One of the libraries, StatsForecast, which provides statistical and econometric models, will now function seamlessly within the MindsDB ecosystem. This integration will allow developers using MindsDB to build AI-powered forecasting capabilities and anomaly detection solutions in the database without writing extensive code. MindsDB turns a team of 1,000 developers into 1,000 AI developers with little to no training.

The Nixtla integration includes accurate model implementations, probabilistic forecasting and confidence intervals, support for exogenous variables and static covariates, anomaly detection and time series forecasting. Nixtla’s StatsForecast is optimized for high performance and scalability and uses classical methods, such as ARIMA, rather than deep learning models. This platform means models can be trained quickly and generalized well, making short-time series forecasting easier for developers.

https://mindsdb.com ■‍ https://www.nixtla.io/

TransPerfect launches GlobalLink Connect app for Contentstack’s DXP

TransPerfect, a provider of language and technology solutions for global business, announced that its new GlobalLink Connect app is now available on the Contentstack Marketplace, part of Contentstack’s Composable Digital Experience Platform (DXP). Contentstack Marketplace’s apps allow users to extend the capability of Contentstack’s content management solution and customize its functionalities by easily integrating third-party platforms. The GlobalLink Connect for Contentstack app enables customers to:

  1. Select single or multiple entries for translation using the Translation Wizard dashboard
  2. Track the status of any project in real time with the new entry sidebar widget
  3. Manage and control content translation projects with the new configuration screen
  4. Configure translation for any content type using the new field configuration widget

GlobalLink is TransPerfect’s modular suite of tools specifically designed to manage the complex demands of creating, deploying, and maintaining multilingual content, drastically reducing the time and effort required throughout the localization process.

https://www.transperfect.com/about/press/transperfect-launches-globallink-connect-app-contentstacks-composable-digital

Algolia launches AI-powered Algolia NeuralSearch

Algolia launched Algolia NeuralSearch, their next-generation vector and keyword search in a single API. Algolia NeuralSearch understands natural language and delivers results in milliseconds. Algolia NeuralSearch uses Large Language Models (LLM) and goes further with Algolia’s Neural Hashing for hyper-scale, and constantly learns from user interactions.

Algolia NeuralSearch analyzes the relationships between words and concepts, generating vector representations that capture their meaning. Because vector-based understanding and retrieval is combined with Algolia’s full-text keyword engine, it works for exact matching too. Algolia NeuralSearch addresses the limitation in neural search to scale with their Neural Hashing, which compresses search vectors.

Algolia incorporates AI across three primary functions: query understanding, query retrieval, and ranking of results.

  • Query understanding – Algolia’s advanced natural language understanding (NLU) and AI-driven vector search provide free-form natural language expression understanding and AI-powered query categorization that prepares and structures a query for analysis. Adaptive Learning based on user feedback fine-tunes intent understanding.
  • Retrieval – The retrieval process merges the Neural Hashing results in parallel with keywords using the same index for easy retrieval and ranking.
  • Ranking – The best results are pushed to the top by Algolia’s AI-powered Re-ranking, which takes into account the many signals attached to the search query.

https://www.algolia.com/products/neuralsearch/

Xyleme adds Elevate module to CCMS/LCMS platform

Xyleme, a provider of enterprise Component Content Management Systems (CCMS), announced the launch of Elevate, the newest module in their platform. The new product will add dashboard analytics, APIs, and rich integration capabilities to the existing CCMS, providing users with advanced functionality to enhance their learning and development programs.

Elevate is designed to provide users with a more streamlined and efficient platform-wide user experience, making it easier to access and manage key platform capabilities. The dashboarding features provide users with a customizable interface that displays key metrics and insights, allowing for better decision making and management of learning content. The enhanced API capabilities allow for integration with other systems, such as HR and talent management platforms, providing a more comprehensive and connected experience. Elevate will also provide a hub for innovation, with a labs area designed to showcase emerging content intelligence features and integrations. Xyleme Elevate is available now, and the base edition is included with every platform instance.

https://xyleme.com

Weaviate raises $50 million for vector database

Weaviate, developer of the AI-native Weaviate vector database, announced a $50M round of funding led by Index Ventures with participation from Battery Ventures. Weaviate’s existing investors include NEA, Cortical Ventures, Zetta Venture Partners, and ING Ventures. The capital will be used to expand the Weaviate team and accelerate the development of its open source database and new Weaviate Cloud Service for the AI application development markets use of embedding vectors, which are AI-generated representations of documents, images, customers, products, and other objects.

The Weaviate database simplifies vector data management for AI developers. An essential AI-native infrastructure component, it addresses the problem of generating, storing, and searching embedding vectors and their corresponding objects. AI-native vector database capabilities include:

  • Extensible, built-in machine learning (ML) modules – Just load and search; Weaviate does the ML heavy lifting – any data type, any model, any use case.
  • Rich vector search – Supports a variety of ML searches with the added benefit of being able to search vectors and the source objects from which the vectors were generated.
  • High performance – Sub-second search, scales to billions of objects, runs non-stop.

https://weaviate.io

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