Human Experience (HX) insight platform Adoreboard has announced an integration with Qualtrics XM Platform providing employee and customer experience professionals with automatic Decision Ready Insights from text analytics software Emotics. The solution enables organisations using Qualtrics XM Platform to upgrade their analytics from sentiment to advanced Emotion AI to understand the drivers of emotional intensity from employees or customers feedback automatically discovered in survey comments.
https://adoreboard.com/qualtrics
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Nutanix announced new hybrid cloud capabilities for its unstructured data storage offerings, Objects and Files. Nutanix customers can now deploy a storage fabric across their different cloud environments to simplify data management and manage costs, helping IT teams move closer to a hybrid cloud operating model. These storage-focused enhancements build on the recent launch of Nutanix Clusters, which supports Nutanix’s hyperconverged infrastructure software running in AWS and, in the future, Microsoft Azure. New features:
- Cloud Tiering for Objects Storage: Nutanix Objects can now deliver tiering of object data to an S3-compatible object store, including cloud storage such as AWS S3. Customers can use any S3-compatible target as a tier to Nutanix Objects.
- Hybrid Cloud File Storage: Nutanix Files is now generally available to run in public clouds through Nutanix Clusters. Nutanix Files now delivers a unified experience, along with single-pane management, across cloud deployment modes, spanning the edge, remote offices, and core data centers, and public cloud.
- Simplified Disaster Recovery: Nutanix Objects and Files now deliver improved recovery point objective (RPO) so data is always available across datacenters and clouds in the event of a disaster.
https://www.nutanix.com
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Blue Prism announced the availability of Blue Prism intelligent automation software in AWS Marketplace, giving Amazon Web Services (AWS) and Blue Prism customers another avenue for automation in the cloud. The listing includes Blue Prism on an Amazon Machine Image (AMI) instance with a set number of digital workers, plus connectors for Amazon Textract, Amazon Rekognition, and Amazon Comprehend machine learning capabilities. The Blue Prism offering in AWS Marketplace gives customers an easy way to purchase digital worker licenses and start automating faster via AWS. It includes:
- Blue Prism Enterprise license for either 1, 3, or 5 digital workers for one year, plus the ability to add more as needed. Digital workers come equipped with embedded AWS machine learning capabilities, including:
- Amazon Comprehend: A natural language processing (NLP) service that uses machine learning to find insights and relationships in text.
- Amazon Rekognition: A service that makes it easy to add image and video analysis to users’ applications using proven, scalable, deep learning technology that requires no machine learning expertise to use.
- Amazon Textract: A managed machine learning service that automatically extracts printed text, handwriting, and other data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables.
- Access to resources, tutorials, and training materials that demonstrate work queues and possible automations. Users just need an AWS account to get started.
https://www.blueprism.com
In machine learning, semantic analysis of a corpus is the task of building structures that approximate concepts from a large set of documents. It generally does not involve prior semantic understanding of the documents. Latent semantic analysis (sometimes latent semantic indexing), is a class of techniques where documents are represented as vectors in term space. A prominent example is PLSI. Latent Dirichlet allocation involves attributing document terms to topics.
Amazon Web Services, Inc. (AWS) announced QuickSight Q to make it simpler for end-users to get more value from their business data using machine learning, among other new analytics analytics capabilities.
Amazon QuickSight Q is a machine learning-powered capability for Amazon QuickSight that lets users type natural language questions about their business data and receive accurate answers in seconds. As users begin typing their questions, Amazon QuickSight Q provides auto-complete suggestions with key phrases and business terms, and automatically performs spell-check and acronym and synonym matching, so users do not have to worry about typos or remembering the exact business terms for the data. Amazon QuickSight Q uses deep learning and machine learning (natural language processing, schema understanding, and semantic parsing for SQL code generation) to generate a data model that automatically understands the meaning of and relationships between business data, so users receive accurate answers to their business questions and do not have to wait for a data model to be built. Amazon QuickSight Q comes pre-trained on data from various domains and industries like sales, marketing, operations, retail, human resources, pharmaceuticals, insurance, and energy.
https://aws.amazon.com/quicksight/q, https://aws.amazon.com/big-data/datalakes-and-analytics/
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The Internet Society and the Internet Engineering Task Force (IETF) announced a new long term strategic agreement that will ensure the continuity of the IETF’s critical work in creating open standards that make the Internet work better. The IETF has been at the center of technical innovation for the global Internet for nearly 35 years. Open standards allow devices, services, and applications to work together across the tens of thousands interconnected networks that make up the Internet and everything it enables such as the Web and email.
The Internet Society provided the organisational home for the IETF until 2018 when the IETF Administration LLC was formed to support its ongoing operations. Under the new six-year agreement, the Internet Society will provide financial support in two areas: IETF’s work through the LLC, and a new donor match program in support of upcoming fundraising efforts for the IETF Endowment, which is designed to provide long term funding for the IETF’s mission. The new agreement will go into effect on January 1, 2021 and run through December 31, 2026.
https://www.internetsociety.org, https://www.ietf.org
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The Open Group, the vendor-neutral technology consortium, and the International Telecommunication Union (ITU), the United Nations agency for information and communication technologies (ICTs), announced a collaboration to accelerate public service innovation and transformation for better citizen outcomes and optimal utilization of ICT infrastructure. By working together, The Open Group and ITU will aim to promote, guide, and build capabilities for digital government strategies and citizen-centric Enterprise Architecture (EA) across the globe. With the necessary guidance and materials, resource-constrained countries will be better placed to convert digital strategies into implementable large-scale systems. As such, the strategic alliance between ITU and The Open Group will fill the gap between digital investments and best practice architectural approaches for the achievement of the SDGs.
The work undertaken as part of the collaboration will be executed by The Open Group Government EA Work Group. The Work Group will develop processes that enable seamless information flow across various government ecosystems, making existing EA resources – including guides, frameworks, use cases, and methodologies – easier to use and available to all. Through providing access to these resources, both The Open Group and ITU will help governments to build the capabilities needed to implement architectural approaches at scale, based on their country-specific needs.
https://www.opengroup.org, https://www.itu.int/en/Pages/default.aspx
The new version of the Platform introduces a web-based administration tool that enables engineering teams to generate, enrich, validate and manage knowledge graph schemas, and comes with a major new component included, Ontotext Platform Workbench, a web-based administration interface to the platform. This simplifies the work of the subject matter experts by lowering the burden of knowing all platform configuration endpoints and commands and streamlines adoption with a graphical interface. The Ontotext Platform Workbench provides the ability to generate, validate and manage schemas using a wizard that guides the user through the process step by step.
Schemas, comprised of declarative definitions of semantic objects, are at the heart of the zero-code approach for access and management of knowledge graphs in Ontotext Platform 3. These schemas act like a lens to focus on specific parts of a large-scale knowledge graph, enabling querying and updates via GraphQL interfaces. This makes it easier for application developers to access knowledge graphs without tedious development of back-end APIs or complex SPARQL. The underlying Semantic Object service implements an efficient GraphQL to SPARQL translation as well as a generic configurable security model.
In earlier versions the setup of the Platform license required some technical skills, and often users without a strong IT operations background had difficulties configuring the license in the docker compose file. With the new version all users can use the Workbench and set up the license much easier and avoid issues related to license path, operation system specifics and others.
https://www.ontotext.com/company/news/ontotext-platform-3-3-streamlines-the-building-of-knowledge-graph-lenses-and-graphql-ui/
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