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Category: Computing & data (Page 51 of 90)

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.

Voicify Releases third major update

Voicify has released the third major update to the platform since its inception in 2017. Voicify 3.0 is notable in its delivery of features that categorize it as an enterprise solution, sitting within the ecosystem of digital platforms responsible for managing the customer experience. In 3.0, Voicify enables brands to engage customers as individuals through personalization and connectivity to systems like CRM, PIM, CMS etc. Conditional logic available within Voicify ranges from simple session information (first time versus returning) to specific user data (like transaction history).

Additionally, Voicify makes it easier for brands to get started in voice with the advent of VUX (Voice User Experience) Spark Templates. Spark is the componentry of Voicify that allows for the templatization of conversation flows that may be re-usable into an even simpler UI. To further support quick and simple voice app spin up, Voicify created a marketplace where VUX Spark Templates and Integrations are available to be added to customer voice apps. This release establishes over 100 major features to the platform and is immediately accessible.

https://voicify.com

DataRobot acquires Zepl to enhance enterprise capabilities for data scientists

DataRobot announced the acquisition of Zepl, a cloud data science and analytics platform. The acquisition will unlock new capabilities within DataRobot’s enterprise AI platform for the world’s most advanced data scientists. Zepl was founded by the creators of Apache Zeppelin, an open source notebook for data and analytics. Zepl provides a self-service data science notebook solution for advanced data scientists to do exploratory, code-centric work in Python, R, and Scala with enterprise-ready features such as collaboration, versioning, and security.

DataRobot will incorporate Zepl as a cloud-native, self-service notebook in its enterprise AI platform to drive productivity, efficiency, and collaboration for multiple personas. This allows for data scientists who prefer to code by allowing them to write their own tasks and custom models extending the out-of-the-box capabilities provided by DataRobot. With the integration of Zepl, business analysts will be able to build models using DataRobot’s automation and then collaborate with their advanced data science colleagues for additional customization if desired, on the same platform. It will also provide a more transparent view of the code behind DataRobot blueprints, further enhancing trust and explainability. In addition to the acquisition, DataRobot also unveiled new platform enhancements, including Composable AI.

https://www.datarobot.com ▪︎ https://www.zepl.com

Appian updates Low-code Automation Platform

Appian unveiled the latest version of the Appian Low-code Automation Platform. The release includes the introduction of low-code data, a new code-free approach to unifying enterprise data, enhanced AI-driven Intelligent Document Processing (IDP), new design guidance and developer collaboration features, and enhanced DevSecOps capabilities.

  • Low-code Data: Appian makes integrating data as easy as building apps. Source data from anywhere, without needing to migrate it. Visually combine, extend, and model relationships between varied data sources, and automatically optimize data sets for performance, without coding or database programming.
  • IDP: Appian Intelligent Document Processing (IDP) delivers efficiency gains via straight-through processing of large volumes of unstructured data. IDP now features native Optical Character Recognition (OCR).
  • Low-code RPA: Appian customers can now automate tasks faster with new Low-code RPA Windows actions and additional new libraries of actions that can be downloaded directly from the Appian AppMarket.
  • Low-code Apps: New developer collaboration capabilities simplify co-creation of apps, while enhanced design guidance optimizes app performance, security, and testing.
  • Low-code DevSecOps: Enhanced simplified movement of software packages between development, test, and production environments with one-click compare and deploy to accelerate secure, governed deployments.

https://www.appian.com/platform/free-trial/

Expert.ai adds emotion analysis to natural language API

Expert.ai announced advanced features enhancing analysis capabilities through its cloud-based natural language (NL) API. The new extension addresses one of the biggest challenges artificial intelligence developers face in the NL ecosystem – extracting emotions in large-scale texts and identifying stylometric data driving a complete fingerprint of content.

The expert.ai NL API captures a range of 117 different traits, providing a rich emotional and behavioral taxonomy. Emotional Traits are categorized into 8 different groups (anger, fear, disgust, sadness, happiness, joy, nostalgia, shame…). Behavioral Traits are divided into 7 groups (sociality, action, openness, consciousness, ethics, indulgence and capability) and the API assigns 3 levels of polarity (low, fair, high) to further indicate the level of each trait extracted.

The emotions and traits extension can be useful to make media content categorization more effective by capturing new needs or advancing analytics by providing more detailed forecasting and enabling more effective recommendation tailoring for e-commerce. The expert.ai NL API writeprint extension performs a deep linguistic style analysis (or stylometric analysis) ranging from document readability and vocabulary richness to verb types and tenses, registers, sentence structure and grammar. Compare multiple documents to identify unique writing style and author invariants to streamline authorship analysis, establish the author of a specific text or isolate characteristics such as education level.

https://www.expert.ai

OmniIndex now in Oracle Cloud Marketplace

OmniIndex, a file analysis provider bringing analytics to unstructured data, announced that its solution is now available in the Oracle Cloud Marketplace, offering added value to Oracle Cloud customers.  This announcement confirms OmniIndex availability as a Software-as-a-Service via Oracle Cloud as well as being an Oracle for Startups member.

OmniIndex addresses all areas of unstructured data analytics: AI Contextual Awareness, AI Sentiment Analysis, Automatic Content Analysis and PII Alerting. It is a simple to implement SaaS solution with a powerful AI engine.

The Oracle Cloud Marketplace is a one-stop shop for Oracle customers seeking business applications and service providers offering unique business solutions, including those that extend Oracle Cloud Applications. Oracle Cloud  delivers enterprise-grade services at every level of the cloud technology stack including software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS). The Oracle Cloud Marketplace offers an intuitive user interface to browse and search for available applications and services, as well as user ratings and reviews to help customers determine the best business solutions for their organization. With its new automated application installation features, customers can easily deploy provider business applications from a centralized cloud interface. 

https://www.omniindex.io

Access Innovations launches Data Harmony Crescendo

Access Innovations, Inc. announced the launch of Data Harmony Crescendo, the cloud deployment of Data Harmony. Crescendo is a Platform as a Service (PaaS), available alongside the company’s Software as a Service (SaaS).

Data Harmony Crescendo helps clients index and process increasingly large amounts of data and deploy scalable, responsive, and self-managing services. This is achieved through centralized GIT driven project storage and version control, Docker containers for deployment and project loading, and Kubernetes clusters that are scalable and self-managing clusters capable of mostly administrating themselves. This allows for project development to be more agile: thesaurus features can be developed in sprints, development versions of the thesaurus can be deployed for testing before deployment, thesauri can be versioned and branched for different portions of the application, and project management is simplified at all levels. Docker containers allow for instant deployment and Kubernetes improves reliability, continuously monitors and manages containers, scales applications to handle changes in load, provides better use of infrastructure resources and helps reduce infrastructure requirements via autoscaling.

Crescendo forms a foundation for the infrastructure supporting semantics as a service. Access Innovations Labs helps clients and partners implementing semantic solutions, and takes on cutting edge projects to forward implementation of thesauri, taxonomies, and ontologies, supporting better search, discovery, and retrieval of information.

https://www.accessinn.com/2021/05/03/launch-of-data-harmony-crescendo/

AtScale supports Data Analysis Expressions (DAX)

AtScale, a provider of semantic layer solutions for modern business intelligence and data science teams, announced native support for Data Analysis Expressions (DAX). DAX is a formula expression language used in Analysis Services, Microsoft Power BI, and Power Pivot in Microsoft Excel. Native DAX support lets Power BI users connect to AtScale in live connection mode. Live connections provide fast access to AtScale’s semantic layer platform, for delivering and managing data access and quality across the diverse and complex data landscape in a cloud-first enterprise. The AtScale semantic layer creates a single point for data access and a central governance gateway, and bridges business users across data migrations. Key features:

  • Live Connection to Cloud Data Platforms – Power BI users can use AtScale to access up-to-date data without pre-aggregation or data engineering work.
  • Curated Data Models – These curated and governed data models can help to increase the quality of data analysis.
  • Impersonation & Single Sign-On (SSO) – With an appropriate data gateway configuration, Power BI users can connect using their preferred LDAP or Active Directory (AD) accounts.
  • Enhanced Performance – Power BI users can navigate metadata and use visualizations in their reports without requiring Power BI to translate DAX into a SQL dialect or other query language.
  • Seamless Integration with Power BI

https://www.atscale.com

DRUID and convedo partner in the UK and DACH region

DRUID, provider of specialists in conversational AI technologies, and convedo, provider of Intelligent Process Automation expertise, announced their collaboration to deliver the DRUID Chatbot Authoring Platform in the UK and DACH region, (Germany (D), Austria (A), and Switzerland (CH)). convedo helps the world’s organizations succeed with Intelligent Process Automation using best-of-breed platforms and will now introduce conversational artificial intelligence (AI) technology to more companies from various industries. DRUID provides a platform for designing, developing, and integrating a chatbot tailored to specific business needs and objectives.

DRUID is an AI-driven, no-code chatbot authoring platform that has a robust integration capability into back-end systems. The natural language processing technology included in the platform supports over 45 languages and offers more than 500 pre-built conversational AI templates covering business scenarios across multiple industries and roles. Moreover, the native connector with UiPath adds conversational capabilities to the hyper-automation platform.

https://www.druidai.com/druid-ai-partners-convedo-automation-uk-dach/ ▪︎ https://www.convedo.com

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