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Category: Computing & data (Page 74 of 92)

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.

Exasol launches Exasol V7

Exasol launched Exasol V7 giving users the ability to run analytical models on larger data volumes to find more business-critical answers. Exasol V7 bolsters AI/ML model training with GPUs, improve the performance of their Data Vault models, and improves the use of unstructured data.

  • GPUs – Supporting the use of GPUs, Exasol V7 provides the speed and performance needed when training and retraining AI/ML models on large data sets and remove barriers to entry for deep learning. 
  • Data Vault 2.0 – In Data Vault 2.0, all keys are stored as hashes. These hashes help quickly join and compare data from multiple tables and schemas, to improve query performance, create better user experiences and open up previously prohibitive analysis.
  • Semi-structured Data (JSON Function) – Exasol V7 natively supports multiple data formats (structured and semi-structured) within one database engine. In Exasol V7, JSON functions are natively integrated in SQL and can be executed directly in the database without the need for User-Defined Functions (UDFs). 

Exasol V7 will be available on July 28, 2020.

https://www.exasol.com/en/v7/

DefinedCrowd launches DefinedData, a marketplace of AI datasets

DefinedCrowd announced the launch of DefinedData, an offering that enables customers to accelerate their AI-initiatives by acquiring pre-collected, annotated, and validated AI training data from an online catalog. Customers can browse pre-collected AI datasets in multiple languages, domains, and recording types and either request samples or purchase. Customers can also choose between a one-time purchase or annual subscription that provides access to all of the new datasets. The catalog is expected to grow to include over 25,000 hours of speech and natural language data. Multiple key performance indicators (KPIs) will be used including Word Error Rate, gender distribution levels, age distribution, ambient noise levels, nativeness (accuracy of native speakers), and domain accuracy.

https://www.definedcrowd.com/

TransPerfect to share multilingual data set with AI and chatbot developers

TransPerfect, provider of language and technology solutions for global business, announced that it is sharing a multilingual data set that will help AI and chatbot developers provide information on COVID-19 in multiple languages. The data set will allow researchers and technology organizations to train smart chatbots that could increase the coverage and appropriateness of responses provided by systems integrated into websites, social media services, virtual assistants, and other platforms. The training data set, which is available in English, Spanish, Arabic, and Mandarin Chinese, accessible at no charge. TransPerfect DataForce specializes in building AI experiences through data collection and annotation. The group has a broad pool of global resources and advanced technologies that gives it the ability to aggregate and package data that can be highly useful in improving responsiveness to COVID-19.

https://www.transperfect.com

Nuxeo unveils low-code user interface to open AI to business users

Nuxeo announced a new, low-code user interface (UI) for Nuxeo Insight, its artificial intelligence (AI) service that enables companies to use their own data and content to train custom machine learning (ML) models. The new interface allows business users to easily create, train, deploy and administer personalised machine learning models. The interface offers a guided point-and-click experience, and users can also deploy and administer these models in production use cases. Nuxeo’s new user experience walks users through the step-by-step process of training and deploying customer machine learning models:

  • Select the various values and data types they want the new model to populate
  • Apply different parameters for predictions
  • Select the appropriate content and data for successful model training
  • Perform any necessary renditions or transformations

Nuxeo Insight’s new UI includes a dashboard that provides real-time updates on the training process and outcomes. It also enables organisations to administer their custom ML models, allowing them to quickly promote new models into production and to actively monitor the performance of their models over time. With the new UI, users can compare the performance of different ML models or different versions of the same model. The overall goal is to provide an intuitive, easy-to-use environment that enables Nuxeo customers to continuously improve the performance of their ML models.

https://www.nuxeo.com

pCloud now lets users decide where their files are stored

pCloud is giving users the opportunity to select location of their data. This will give users greater control over the security of their files. Once the choice of where to store the data is made during registration – in the US or Europe – it is practically impossible to transfer them without the user’s knowledge or permission. Currently, the option to select the server location is available only to newly registered users. The company is developing the option to change the storage location for existing users and it will be available very soon.

The company has recently added a data centre in Luxembourg, meeting the needs of consumers and businesses even in the most regulated sectors in terms of consumer data protection and information security. pCloud’s new European data center is certified to SSAE 16 SOC 2, Type II standard. In addition, pCloud meets standards such as ISO 9001: 2015 (Quality Management Systems) and ISO 27001: 2013 (Information Security Management Systems). When using the pCloud service, user data is transferred via TLS / SSL protocols, which provide data protection during transmission.

https://www.pcloud.com/data-regions/

Informatica launches collaborative technology initiative with The ADAPT Centre

Informatica announced a collaborative technology initiative with The ADAPT Centre, a Science Foundation Ireland (SFI) Research Centre for Digital Media Technology. The ADAPT Centre, funded by SFI, focuses on developing next-generation digital technologies that transform how people communicate by helping to analyze, personalize and deliver digital data more effectively. Informatica’s R&D team collaborate with ADAPT to leverage its applied research in Artificial Intelligence (AI) and Natural Language Processing (NLP) to accelerate the application of AI and Machine Learning (ML) to automate Informatica’s enterprise cloud data management offerings. Organisations are increasingly leveraging extremely large data sets to inform business decisions but have a range of obligations under regulations like The General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), making data management even more complex. Informatica’s engineers have already developed many AI and ML capabilities as part of the Informatica CLAIRE engine to help customers use data effectively for their analytics, data governance and privacy, and customer experience (CX) needs.

https://www.informatica.com

Obie launches Browser extension to accelerate sharing of workplace documents

Obie announced the launch of its new browser extension to democratize access to Obie’s core search, access, and knowledge sharing functionality. They also launched Personal Pro and Personal Free plans that decouple Obie’s search functionality from Slack for the first time to expand availability for individuals and remote teams. Obie uses natural language processing (NLP) to understand complex queries, as well as machine learning (ML) to improve results with every document search. Users can also manually add “FAQs” to store templates, text snippets, and frequently accessed information by simply highlighting the information in their browser and adding it to Obie.

https://obie.ai

Amazon Web Services unveils space business segment

Amazon Web Services (AWS) announced it is introducing a new business segment dedicated to accelerating innovation in the global aerospace and satellite industry. The Aerospace and Satellite Solutions business segment will bring AWS services and solutions to the space enterprise, and work with customers and partners around the world to: reimagine space system architectures, transform space enterprises, launch new services that process space data on Earth and in orbit, and provide cloud solutions to support government missions and companies advancing space around the world. Retired Air Force Major General Clint Crosier, former director of Space Force Planning at the U.S. Space Force, is the leader of this new business segment.

AWS Ground Station helps customers communicate with satellites, and to downlink, process, and distribute satellite data within minutes of capture. AWS Ground Station, a fully managed service that provides satellite owners and operators global access to their space workloads, offers a hint of what these innovative solutions can look like. Enabling customers to downlink data and provide satellite commands across multiple regions with speed and agility—and at a low cost—means satellite operators don’t have to own and manage duplicative ground station infrastructure. AWS Ground Station is already being used by NASA’s Jet Propulsion Lab (JPL) and other customers.

https://blog.aboutamazon.com/

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