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Category: Computing & data (Page 2 of 82)

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.

MindsDB launches conversational enterprise-ready AI

MindsDB announced the launch of Minds, a turnkey, private conversational AI designed to reason and orchestrate across real-time and historical enterprise data to answer questions for AI applications and agents.

With Minds, developers can move from prototyping to building production-ready AI applications in weeks, without requiring specialized AI expertise. These applications can reason and understand user requests in natural language, including use cases for conversational search, analytics, and triage.

Minds answer questions across complex and diverse data environments. Minds perform transparent semantic query planning, showing users how they “think” through answering questions, as follows:

  • Minds are natural language fluent and understand user intent through conversation.
  • Based on that intent, Minds select the best data sources across databases, data warehouses, file systems, and applications, providing a unified view of an organization’s data.
  • Minds then translate the question into a plan of queries, optimized and federated across the chosen data sources.
  • Minds are also capable of applying calculations, such as sorting or structuring, needed to deliver the right answer.

Available as a turnkey, private solution, Minds ensure security, privacy, and regulatory compliance. Minds operate securely across any cloud or on-premises environment via Nvidia NIMs, and can be deployed serverlessly in MindsDB’s cloud.

https://mindsdb.com/newsroom/mindsdb-launches-conversational-enterprise-ready-ai-that-shows-you-how-it-thinks

HubSpot launches Breeze, updates Marketing & Content Hubs

HubSpot launched Breeze, its embedded AI with new Copilot and Agents; Breeze Intelligence for data enrichment; and updates to Marketing Hub and Content Hub. Featured releases:

  • Breeze, HubSpot’s AI to power the customer platform. Breeze includes:
    • Copilot, HubSpot’s AI companion to make work easier.
    • Four Breeze Agents to get work done fast, including Content Agent, Social Media Agent, Prospecting Agent and Customer Agent.
  • Breeze Intelligence, HubSpot’s data enrichment and buyer intent solution:
    • Data enrichment pulls from a database of over 200 million buyer and company profiles to enrich company and contact records in HubSpot’s Smart CRM.
    • Buyer intent to help customers identify which prospects are best fit.
    • Form shortening to increase conversion by automatically adding information Breeze Intelligence already knows.
  • Updates to Marketing Hub and Content Hub including tools:
    • to capture attention like Content Remix for video, which uses AI to turn a single video into a full campaign of clips, audio and written content.
    • like Lead Scoring to find high engagement, high-fit prospects, and Google Enhanced Conversions to leverage first-party conversion data from HubSpot.
    • to measure impact like the new Marketing Analytics Suite, which brings all marketing metrics and reporting in one place and get results faster.

https://www.hubspot.com/company-news/fall24-spotlight

DeepL announces glossary generator

DeepL, a global Language AI company, announced updates to its glossary feature, which is a tool that enhances translation consistency and accuracy by enabling professionals and companies to personalize translations for specific terms. The tool now offers a smart glossary generator, which helps simplify and speed up the process of creating glossaries for translations. Expanded capabilities:

  • An AI-powered glossary generator: DeepL’s new glossary generator is a tool enabling teams to create custom translation glossaries with a simple file upload. Previously translated files can be leveraged to generate entries for personalized DeepL glossaries, reducing manual work and enhancing efficiency.
  • Expanded glossary language functionality: Glossary now supports Korean, Danish, Swedish, Norwegian, and Romanian translations, bringing the total number of languages to 16.
  • More convenient access across DeepL platforms: Users can access and apply the glossary within the DeepL browser extensions for Chrome and Edge, enabling consistent translations across the web, including Google Workspace applications. The glossary can also be applied within DeepL for Microsoft 365 integrations, including Word, Outlook, and PowerPoint, and be accessed through DeepL’s web browser, desktop apps, and API.

DeepL’s glossary generator is now available to Pro Advanced and Ultimate subscribers with support for TMX/DOCX/PDF files.

https://www.deepl.com/en/translator

Brightspot announces latest version of their content management system

Brightspot, a content management platform, debuted its latest version. With tech stack integrations and AI features that speed up creation time the latest version streamlines content workflows. Brightspot aims to transform the way organizations create content, and the way content creation impacts organizations. Capabilities include:

  1. Smarter, faster, safer content creation with AI – Brightspot’s new AI features alleviate the frustrating search journey and content generation process. Customers can use AI to create content with AI governance tools with customizable permissions, AI tracking, and analytics. Brightspot also supports the creation of custom AI solutions.
  2. Breaking down silos between teams and tech – From automatic task creation in Asana to ticket generation in Jira whenever an action is triggered in the CMS, Brightspot connects workflows and business applications to orchestrate work across technical and non-technical users, and increase compatibility across your tech stack.
  3. Intuitive work environment for every type of user – The platform provides an easy-to-navigate interface that simplifies the process of creating and executing workflows.
  4. Flexible framework for your organization – Brightspot prioritizes extensibility, building out bespoke functions that have no dependency on development or coding capabilities to integrate AI or connect tech stacks that reflect their organization’s processes, and stimulate productivity across functions.

https://www.brightspot.com

Brightcove unveils Brightcove AI Suite

Brightcove, a streaming technology company, announced the introduction of the Brightcove AI Suite. The new AI-powered capabilities will address growth-driving and cost-saving needs, including content creation, audience growth and engagement, increased revenue, and improved business efficiency. 

Brightcove AI Suite integrates into Brightcove’s video cloud platform and launches with five AI-powered solutions: AI Content Multiplier, AI Universal Translator, AI Metadata Optimizer, AI Engagement Maximizer, and AI Cost-to-Quality Optimizer. Brightcove is using models from Anthropic, AWS, and Google, and integrating AI solutions from CaptionHub and Frammer. Brightcove will initially focus on:

  • Content Creation: The AI Content Multiplier uses Gen AI to automate time-consuming tasks. The AI Universal Translator delivers translations across 130 languages with the ability to fine-tune.
  • Content Management and Optimization: will accelerate workflows and simplify managing content libraries, and turning them into a foundational data layer optimized for large language models (LLMs). AI Metadata Optimizer generates descriptions and transforms content into searchable and AI-optimizable data sets.
  • Content Engagement and Monetization: Brightcove AI Engagement Maximizer delivers automated video interactivity, personalization, and recommendations. AI Revenue Maximizer optimizes ad placements and durations.
  • Quality and Efficiency: AI Cost-to-Quality Optimizer drives down the cost of encoding, storage, and content delivery without sacrificing the viewer experience.

https://campaigns.brightcove.com/ai-solutions/

Adobe announces Adobe Express updates and special teams offer

Adobe announced new innovations in Adobe Express, which brings Adobe’s creative tools into an app that’s easy for smaller businesses to leverage across teams to create content.

Adobe AI features in Adobe Express are built into workflows not bolted on as an upsell. Adobe Firefly generative AI-powered features in Adobe Express are designed to be commercially safe, so businesses can protect their brand and publish business content with confidence.

Adobe Express for teams offers the best of Adobe in an app every employee with any skill level can use to create on-brand social posts, flyers, videos, presentations and more. Adobe Express for teams includes thousands of distinctive templates curated by Adobe professionals and thousands of Adobe assets, including stock photos, videos, audio files and premium fonts. Businesses can make content even more eye-catching with animations and use AI to generate new images and remove backgrounds instantly. 

The new Adobe Express for Teams offer is available immediately for $49.99 per user per year guaranteed for up to three years with a two-seat minimum and includes a 90-day free trial with payment. The offer runs through Sept. 30, 2024. Adobe Express offers qualified 501(c)(3) nonprofits free access to premium features.

https://news.adobe.com/news/news-details/2024/Adobe-Express-Updates-Deliver-More-Value-for-Solopreneurs-and-SMBs-with-Innovation-and-Special-Teams-Offer/default.aspx

Cloudera adds Accelerators for Machine Learning Projects (AMPs)

Cloudera, a hybrid platform for data, analytics and AI, announced new Accelerators for ML Projects (AMPs), designed to reduce time-to-value for enterprise AI use cases. The new additions focus on providing enterprises with cutting-edge AI techniques and examples within Cloudera that can assist AI integration and drive more impactful results.

AMPs are end-to-end machine learning (ML) based projects that can be deployed with a single-click directly from the Cloudera platform. Each AMP encapsulates industry practices for tackling complex ML challenges with workflows to facilitate seamless transitions. Cloudera AMPs are open source and include deployment instructions for any environment. Updates include:

  • Fine-Tuning Studio – Provides users with an all-encompassing application and “ecosystem” for managing, fine tuning, and evaluating LLMs.
  • RAG with Knowledge Graph – A demonstration of how to power a RAG (retrieval augmented generation) application with a knowledge graph to capture relationships and context not easily accessible by vector stores alone.
  • PromptBrew – Offers AI-powered assistance to create reliable prompts via a simple user interface.
  • Chat with Your Documents – Building upon the previous LLM Chatbot Augmented with Enterprise Data AMP, this accelerator enhances the responses of the LLM using context from an internal knowledge base created from the documents uploaded by the user.

https://www.cloudera.com/about/news-and-blogs/press-releases/2024-09-12-cloudera-unveils-new-suite-of-accelerators-for-machine-learning-projects-amps.html

Syncro Soft releases Oxygen AI Positron Assistant 3.0

Version 3.0 increases the efficiency of using the tool as certain actions now leverage the Retrieval-Augmented Generation (RAG) process to obtain context from the users’ current projects.

The new AI Positron Assistant drop-down widget offers a convenient way of accessing useful AI actions by displaying a floating contextual menu directly within the editing area. Users can customize their own AI actions to display as Quick Assist fixes in the editor. It is also now possible to choose the OpenAI model used in chat sessions and actions right from the AI Positron Assistant view.

A variety of new AI actions that are specific to working with DITA XML documents have been implemented, including a Proofread action that helps users identify potential issues in their content regarding logical consistency, grammar, spelling, readability, and comprehension.

Other newly implemented actions include the Improve Structure action that instructs the AI to enhance DITA XML documents by adding additional structure or inline elements, and the Add Structured Content action continues the content from a document with additional structured content generated based upon similar content from the current project, which gives the AI more context for formulating the new XML structure.

 https://www.oxygenxml.com/ai_positron_assistant.html

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