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Category: Computing & data (Page 61 of 80)

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.

SAP to take Qualtrics public

SAP announced its intent to take Qualtrics public through an initial public offering (IPO) in the United States. Qualtrics’ focus is on experience management, and SAP intends to remain the majority owner of Qualtrics. SAP’s primary objective for the IPO is to fortify Qualtrics’ ability to capture its full market potential in the market for experience management solutions. This will help to increase Qualtrics’ autonomy and enable it to expand its footprint both within SAP’s customer base and beyond. Qualtrics, which is part of SAP’s cloud portfolio, has operated with greater autonomy than other companies SAP had previously acquired. The founder, Ryan Smith, the and current management team of Qualtrics will continue to operate the company. Ryan Smith intends to be Qualtrics’ largest individual shareholder.

SAP agreed to acquire Qualtrics just four days before Qualtrics was to go public in 2018, recognizing the potential of bringing together experience and operational data to help organizations take action. SAP is committed to experience management and the Qualtrics XM Platform as a key element of its Intelligent Enterprise Strategy. SAP will remain a close innovation and go-to-market Qualtrics partner. A final decision on the IPO and its timing is pending and subject to market conditions. Since SAP, as majority shareholder, will continue to fully consolidate Qualtrics, the transaction is not expected to have an impact on SAP’s 2020 or longer-term financial targets.

https://www.qualtrics.com/news/sap-announces-intent-to-take-qualtrics-public/

SyncWords launches new generation media localization AI in 100+ Languages

SyncWords  launched the next generation of its media localization platform for translating and subtitling both live and on-demand videos in over 100 languages. Content creators have traditionally faced significant barriers to localizing their content including high costs, technical hurdles, and long turnaround times. SyncWords AI automates the process, enabling realtime subtitling solutions and delivering subtitles for pre-recorded content that reduces the time, effort, and cost of machine translation post-editing workflows. SyncWords’ media localization AI provides smart parsing and handling of content and metadata through the translation process and assembles the translated output into UX-optimized subtitles while transferring word-level timings to ensure timing accuracy throughout. The next generation of SyncWords’ media localization AI extends the accuracy and quality of results that can be produced through automation by introducing features for precise adherence to source templates, word-level alignments of translations with the source, automated alignment of human translations with source, and maximum context for translations, among other features. 

https://syncwords.com

AWS announces general availability of Contact Lens for Amazon Connect

Amazon Web Services Inc. announced the general availability of Contact Lens, a set of capabilities for Amazon Connect enabled by machine learning, that gives contact centers the ability to understand the sentiment, trends, and compliance of customer conversations to improve their experience and identify crucial feedback. Amazon Connect is a cloud contact center service that helps companies of any size deliver customer service on the same technology as Amazon’s customer service.

Contact Lens capabilities are built into the Amazon Connect experience, and provides metadata (such as transcriptions, sentiment, and categorization tags) in customers’ Amazon Simple Storage Service (Amazon S3) buckets in a well-defined schema. Businesses can export this information and use additional tools like Amazon QuickSight or Tableau to do further analysis and combine it with data from other sources. Contact Lens requires no technical expertise, and getting started takes just a few clicks in Amazon Connect.

https://aws.amazon.com/connect/contact-lens

Dassault Systèmes delivers new collaborative data science experiences

Dassault Systèmes announced the enhancement of collaborative data science capabilities on the 3DEXPERIENCE platform. Dassault Systèmes’ customers can capitalize on their data patrimony by engaging in new virtual twin experiences in which knowledge found in unstructured text data is transformed into actionable content and insights. This follows the acquisition of the privately-held company Proxem, a France-based specialist in artificial intelligence-powered semantic processing software and services, and provider of customer experience analysis solutions.

Dassault Systèmes has integrated Proxem’s Proxem Studio, into the 3DEXPERIENCE platform to complement NETVIBES EXALEAD information intelligence applications. This accelerates the portfolio of available AI models, while transforming public and accessible content into a reusable industry knowledge graph. Proxem Studio delivers a combination of rule-based natural language understanding, natural language processing, and machine learning technologies.

The combination of AI with modelling and simulation applications will enable 3DEXPERIENCE platform users to automate the interpretation of knowledge found in requirements, regulations, customer and quality feedback, contracts, as well as in scientific publications, research reports or clinical trial results. This triggers new collaboration opportunities and facilitates planning and execution across the extended enterprise.

http://www.3ds.com

MarkLogic announces Data Hub Central for simplified data integration

MarkLogic Corporation announced Data Hub Central, the newest capability of MarkLogic Data Hub Service. Data Hub Central provides a simple user interface for self-service data integration where developers, architects, and business analysts can collaborate to integrate, explore, analyze, and share consistent data assets tailored to business needs. With MarkLogic’s built-in search capability, Data Hub Central enables analysts to “shop” for the exact data sets needed to solve business problems. Data sets can be saved, shared, and re-used in popular BI tools – without having to make an IT request.

Data Hub Central spans the integration lifecycle in a single interface. It enables architects who are tasked with overseeing data modeling and governance to collaborate with business analysts to define data models and relationships in the language of the business. Systems analysts, who understand source systems and data, can go to Data Hub Central to look at and adjust the model. As the model is adjusted, data can be loaded from multiple source systems to see how it maps to the target model, as it is changed. Developers have a centralized source of data assets and do not have to wait on lengthy ETL cycles to get access to the data. While Data Hub Central provides no-code capabilities, it is also extensible. While data experts are using it to integrate the data, developers can write re-usable components that extend and customize it. Because Data Hub Central runs as part of MarkLogic Data Hub Service, it has the same enterprise data security capabilities enforced at the data layer.

https://www.marklogic.com/news/announcing-data-hub-central/

Google Cloud announces BigQuery Omni for multi-cloud analytics

Google Cloud has announced BigQuery Omni, a multi-cloud analytics solution that enables customers to bring the capability of BigQuery to data stored in Google Cloud, Amazon Web Services (AWS) and Azure (coming soon). Part of Google Cloud’s Anthos, BigQuery Omni will allow customers to connect directly to their data across Google Cloud, AWS and Azure for analysis without having to move or copy datasets. Through a single user interface, customers will be able to analyze data in the region where it is stored, providing a unified analytics experience. Anthos is a hybrid and multi-cloud application platform that provides a consistent development and operations experience for cloud and on-premises environments. Anthos ensures a secure and connection between Google Cloud and the other public clouds, so customers can securely run analytics with a fully-managed infrastructure. Today, BigQuery Omni is available in Private Alpha for AWS S3, with Azure support coming soon. BigQuery Omni supports Avro, CSV, JSON, ORC, and Parquet. If companies are interested to try out BigQuery Omni, they can the Google Cloud blog for a technical deep dive.

https://cloud.google.com/blog/products/data-analytics/introducing-bigquery-omni

Altova debuts debugger for low code app development

Altova announced the release of MobileTogether 7.0, its low code app development framework. This latest version introduces a new debugger for testing and troubleshooting app behavior during development, as well as numerous new tools for defining controls, actions, and UI refinements. The new debugger in MobileTogether Designer offers developers full-featured debugging of both the execution flow of event handlers and operations AND the results of XPath/XQuery functions called during execution. The ability to test and debug apps with precision and immediately understand any app behavior – all directly inside the low-code design environment – enables developers to make a rapid app development process faster.

Highlights of the new features in version 7.0 include:

  • All new debugger
  • Overwriting Control Template styles and actions at any instance
  • New Update Variable action
  • Additional scroll-to options
  • Support for new units: dp/sp
  • Additional pre-defined button looks
  • Padding settings for table rows/columns
  • Edit Fields – new option to trigger control actions after time interval
  • Support for Android 1

https://www.altova.com

Cortical.io introduces contract intelligence solution with semantic search

Cortical.io announced a new release of Cortical.io Contract Intelligence, an AI-based solution for enterprises that need to review and manage a large corpus of contracts and other legal documents. Cortical.io Contract Intelligence utilizes its natural language understanding (NLU) to automatically extract, classify and analyze relevant information in documents. Cortical.io Contract Intelligence 4.0 now incorporates semantic search to enable the search of an entire database or individual documents.

Other features in Cortical.io Contract Intelligence 4.0 are integration with other Business Intelligence solutions and workflow improvements. These include:

  • A dashboard to enable specialists to manage and track the review progress.
  • Task assignment for specialists to assign documents and annotation or review tasks to individual subject matter experts.
  • Built-in OCR capabilities to detect scanned pdf files and convert them into machine-readable files capable of being annotated.
  • Sophisticated table extraction to parse and extract information from tables regardless of the row/column format in the PDF document.
  • Active assistance that includes inline messages pop up to guide users when creating new annotations.

Cortical.io Contract Intelligence is available immediately as a stand-alone application or can be integrated into a workflow through the use of REST APIs. The product can be delivered on-premises, in a private cloud or a public cloud. Cortical.io also is partnering with integration partners and other product solution vendors. The solution is licensed on an annual basis and includes maintenance and support.

https://www.cortical.io

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