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Category: Computing & data (Page 11 of 83)

Computing and data is a broad category. Our coverage of computing is largely limited to software, and we are mostly focused on unstructured data, semi-structured data, or mixed data that includes structured data.

Topics include computing platforms, analytics, data science, data modeling, database technologies, machine learning / AI, Internet of Things (IoT), blockchain, augmented reality, bots, programming languages, natural language processing applications such as machine translation, and knowledge graphs.

Related categories: Semantic technologies, Web technologies & information standards, and Internet and platforms.

Flux launches full release of WordPress on decentralized platform

February 29, 2024 /

Flux, a global decentralized technology company specializing in cloud infrastructure, cloud computing, artificial intelligence and decentralized storage, officially launched WordPress on its platform following a successful Beta phase that commenced in February 2023, making the most popular content management system (CMS), WordPress, accessible on Flux’s decentralized infrastructure.

The backbone of this innovative offering lies in Flux’s extensive network, encompassing not only enterprise-grade nodes, but also nodes ranging from individual users to data centers, designed to guarantee peak performance for WordPress sites. This infrastructure addresses crucial web metrics such as bounce rate and conversion rates, which are significantly affected by loading speeds.

Flux’s decentralized WordPress solution offers an efficient, cost-effective, and scalable hosting option. The ease of deploying a WordPress site on Flux, demanding minimal technical expertise, ensures accessibility for a wider audience, which is reinforced by extensive support resources helping to make the technology user-friendly and empowering for all.

Key features include geolocation capabilities for optimizing site performance based on user concentration, alongside built-in redundancy to guarantee maximum availability. With a four-tiered pricing plan that competes favorably with traditional hosting services, Flux delivers web hosting for all project sizes and budgets with accessibility at its core.

https://wordpress.runonflux.io

Algolia adds Looking Similar capability to AI Recommendations

February 27, 2024 /

Algolia launched a new ‘Looking Similar’ capability as part of its AI Recommendations solution. Looking Similar is an AI model that analyzes images in a retailer’s catalog to find and recommend other items that are visually similar. This new image-based feature is easy to implement and configure, and can enhance conversion rates by providing shoppers with a more visual browsing experience. 

With Looking Similar, users can find items faster that fit a specific theme, vibe, style, mood, or space as a shopper might visually explore products in a brick-and-mortar store. These visual recommendations are particularly useful for shoppers when they come across out of stock items, are simply looking for inspiration, or find a style they like but want differently priced options.

Retailers and marketplaces can implement Algolia’s Looking Similar, analyze a catalog, and quickly generate hundreds of recommendations. These recommendations can be further refined based on a number of preferred attributes such as ‘color’, ‘price’, and ‘size’.

Looking Similar provides retailers with control and empowers them to establish thresholds for the “Similarity” of image matches to create custom filters, specify the number of recommendations to be displayed, and ensure a specific level of image match similarity.

https://www.algolia.com/about/news/algolia-unveils-new-looking-similar-capability-elevating-shopping-experiences-with-image-based-recommendations/

DataStax and LlamaIndex partner to make building RAG applications easier

February 20, 2024 /

DataStax announced its retrieval augmented generation (RAG) solution, RAGStack, is now generally available powered by LlamaIndex as an open source framework, in addition to LangChain. DataStax RAGStack for LlamaIndex also supports an integration (currently in public preview) with LlamaIndex’s LlamaParse, which gives developers using Astra DB an API to parse and transform complex PDFs into vectors in minutes. 

LlamaIndex is a framework for ingesting, indexing, and querying data for building generative AI applications and addresses the ingestion pipelines needed for enterprise-ready RAG. LlamaParse is LlamaIndex’s new offering that targets enterprise developers building RAG over complex PDFs; it enables clean extraction of tables by running recursive retrieval, promising more accurate parsing of the complex documents often found in business.

RAGStack with LlamaIndex offers a solution tailored to address the challenges encountered by enterprise developers in implementing RAG solutions. Benefits include a curated Python distribution available on PyPI for integration with Astra DB, DataStax Enterprise (DSE), and Apache Cassandra, and a live RAGStack test matrix and GenAI app templates.

Users can use LlamaIndex alone, or in combination with LangChain and their ecosystem including LangServe, LangChain Templates, and LangSmith.

https://www.datastax.com/press-release/datastax-and-lamaIndex-partner-to-make-building-rag-applicationseasier-than-ever-for-genai-developers

Adobe announces AI Assistant in Reader and Acrobat

February 20, 2024 /

Adobe introduced AI Assistant in beta, a new generative AI-powered conversational engine in Reader and Acrobat. Integrated into Reader and Acrobat workflows, AI Assistant instantly generates summaries and insights from long documents, answers questions and formats information for sharing in emails, reports and presentations.

AI Assistant leverages the same artificial intelligence and machine learning models behind Acrobat Liquid Mode, technology that supports responsive reading experiences for PDFs on mobile. These proprietary models provide a deep understanding of PDF structure and content, enhancing quality and reliability in AI Assistant outputs.

Acrobat Individual, Pro and Teams customers and Acrobat Pro trialists can use the AI Assistant beta to work more productively today. No complicated implementations required. Simply open Reader or Acrobat and start working with the new capabilities.

Reader and Acrobat customers will have access to the full range of AI Assistant capabilities through a new add-on subscription plan when AI Assistant is out of beta. Until then, the new AI Assistant features are available in beta for Acrobat Standard and Pro Individual and Teams subscription plans on desktop and web in English, with features coming to Reader desktop customers in English over the next few weeks at no additional cost.

https://news.adobe.com/news/news-details/2024/Adobe-Brings-Conversational-AI-to-Trillions-of-PDFs-with-the-New-AI-Assistant-in-Reader-and-Acrobat/default.aspx

Ontotext releases Ontotext Metadata Studio 3.7

February 16, 2024 /

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/

Optimizely integration with Writer now live

February 13, 2024 /

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.com ■ https://writer.com

Otter.ai announces Meeting GenAI

February 13, 2024 /

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    

February 8, 2024 /

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/

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