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Category: Computing & data (Page 59 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.

Cloudera Data Platform for private cloud now available

August 18, 2020 /

Cloudera announced the general availability of Cloudera Data Platform Private Cloud (CDP Private Cloud). CDP Private Cloud extends cloud-native speed, simplicity, and economics for the connected data lifecycle to the data center. Operating CDP Private Cloud is simple for IT, with container-based management tools that reduce the time to deliver analytics and machine learning. Container-based analytics and machine learning help reduce data center costs by increasing server utilization and reducing storage and data center overhead. With CDP Private Cloud, IT can now meet the exponential demand for data analytics and machine learning services, with a petabyte-scale hybrid data architecture that can flex to use private and public clouds. CDP Private Cloud runs the same analytic experiences in the data center that are used in CDP Public Cloud on AWS and Azure.

CDP Private Cloud is available in Base and Plus editions. The Base edition includes SDX, storage management and traditional bare metal data lifecycle analytics. It is equivalent to CDP Data Center, which it replaces. It is the foundation of CDP Private Cloud. The Plus edition includes Base and adds container-based analytic experiences for Data Warehousing and Machine Learning, and container-based management and control plane services. CDP Private Cloud Plus pricing is based on compute and storage and is available as an annual subscription. An annual subscription of the Plus edition is $400 per compute unit (one physical core and 8 GB RAM) and $25 per TB of addressed storage.

https://www.cloudera.com

Google open-sources LIT for evaluating natural language models

August 14, 2020 /

Google-affiliated researchers released the Language Interpretability Tool (LIT), an open source, framework-agnostic platform and API for visualizing, understanding, and auditing natural language processing models. It focuses on questions about AI model behavior, like why models made certain predictions and why they’re performing poorly with input corpora. LIT incorporates aggregate analysis into a browser-based interface that’s designed to enable explorations of text generation behavior. The tool set is architected so that users can hop between visualizations and analysis to test hypotheses and validate those hypotheses over a data set. New data points can be added on the fly and their effect on the model visualized immediately, while side-by-side comparison allows for two models or two data points to be visualized simultaneously. And LIT calculates and displays metrics for entire data sets to spotlight patterns in model performance, including the current selection, manually generated subsets, and automatically generated subsets.

LIT works with any model that can run from Python, the Google researchers say, including TensorFlow, PyTorch, and remote models on a server. And it has a low barrier to entry, with only a small amount of code needed to add models and data. The team cautions that LIT doesn’t scale well to large corpora and that it’s not “directly” useful for training-time model monitoring. But they say that in the near future, the tool set will gain features like counterfactual generation plugins, additional metrics and visualizations for sequence and structured output types, and a greater ability to customize the UI for different applications.

H/T VentureBeat: https://venturebeat.com/2020/08/14/google-open-sources-lit-a-toolset-for-evaluating-natural-language-models/

Savan Group delivers cloud-Based AI and machine learning capability

August 14, 2020 /

Savan Group announced that it has partnered with Amazon Web Services (AWS) to establish a cloud-based artificial intelligence (AI) and machine learning (ML) platform. Savan Group applies AI solutions to address the data and information challenges of the Federal Government. Much of this data is is unstructured data locked away in documents, videos, audio, images, and paper. Using ML and natural language processing (NLP), Savan Group is analyzing and extracting untapped potential, turning data into information and information into knowledge to help government agencies increase the value of data for mission, service, and public good. Savan Group is now developing ML models with near unlimited scale using distributed cloud storage and GPU compute within a FedRAMP-authorized environment.

https://www.savangroup.com/

Clarifai announces new tool for labeling unstructured data

August 11, 2020 /

Clarifai announced Clarifai Labeler, a new way of labeling unstructured image, video and text data in its AI platform. Clarifai has built one integrated tool for managing data annotation projects of any size. Labeler integrates within Clarifai’s platform so that users can manage the whole AI lifecycle in one place: labeling datasets, searching data using AI, training AI models and auto-scaling models in production.

Clarifai Labeler offers AI-assisted automation to prefill labels and speed up project completion. Using task management features designed for large human-in-the loop workforces, it’s easier to assign labeling tasks to a distributed group and gain transparency into annotators’ work.

For enterprises looking for additional help increasing productivity, Clarifai now offers a fully managed data labeling service. Expert annotators, assisted by AI-automated tools, help companies reduce the complexities of managing labeling workforces.

https://www.clarifai.com/label

Arria unveils new natural language technology

August 11, 2020 /

Arria NLG, provider of Natural Language Generation (NLG) technology, has announced the release of Arria Connect, which allows companies to embed Arria’s natural language technology into their dashboards and product offerings. Arria Connect puts the integration capabilities into the hands of developers who want to build NLG into their own Business Intelligence (BI) tool, analytics application, website, or process-automation workflow. Arria’s API-based architecture allows for a connection to other technology platforms in two ways:

  1. make a direct API call from any application that can communicate via HTTP; data is ingested and narrative is automatically returned; or,
  2. use the Arria Connect Integration Accelerator Kit to embed NLG inside software platforms for incorporating narrative. Users also have the ability to work with Arria’s prebuilt NLG solutions and configure them.

Developers with no NLG experience can leverage Arria Connect’s prebuilt libraries for integration rather than building from scratch. In addition to Arria’s prebuilt NLG solutions, Arria Connect also comes with a sample NLG implementation, sample code, and a complete documentation set.

https://www.arria.com/connect/

Adobe announces end of PhoneGap development

August 10, 2020 /

Adobe announced the end of development for PhoneGap and PhoneGap Build and the end of their investment in Apache Cordova. The PhoneGap Build service will be discontinued on October 1, 2020. PhoneGap’s goal has been to bring the full power of the web to mobile applications and enable mobile developers to create performant apps with a single codebase. Since the project’s beginning in 2008, the market has evolved and Progressive Web Apps (PWAs) now bring the power of native apps to web applications. PWAs are increasingly bridging the gap between web and native mobile apps through capabilities such as offline support, push notifications, home-screen icons and full-screen view control without the need for containers. In the context of these developments and declining PhoneGap usage, Adobe is focusing on providing a platform that enables developers to build, extend, customize and integrate with Adobe products.

Apache Cordova, the open source fork of the PhoneGap project will continue to exist and offers a great pathway for most developers. Refer to the Cordova getting started guide for building locally as an alternative to PhoneGap Build and using Cordova-based tools as an alternative to the PhoneGap-specific workflows. Adobe has worked with Ionic to help customers with the transition experience and to enable them to continue to build their applications in the cloud. Refer to this documentation for best practices on moving your application to Ionic Appflow. There are also a number of alternative products to which you may want to consider migrating your PhoneGap app including:

https://blog.phonegap.com/update-for-customers-using-phonegap-and-phonegap-build-cc701c77502c

Hyland announces Brainware Foundation

August 5, 2020 /

Hyland announced Brainware Foundation, the latest release of its intelligent data extraction and text analytics software. Brainware Foundation EP1 includes enhancements to functionality, usability and security – most notably the addition of a new handwriting recognition engine. Brainware users can now opt to leverage Microsoft’s cloud OCR engine through Azure Computer Vision, an intelligent content analysis tool within the portfolio of Microsoft Azure Cognitive Services. The Microsoft engine includes advanced OCR capabilities for extracting difficult handwritten inputs, in addition to machine-printed text. Extraction can be performed in a single pass on free-form printed or scripted writing without anchors, constraint boxes, color dropout, or additional OCR/ICR engines. Other features within the Brainware Foundation EP1 release include:

  • Increased license control in hosted environments: The latest version of Brainware automatically moves runtime license files to a database. This improves supportability and scalability for solutions hosted in multi-server environments. Additionally, users can configure the location, size and storage time of log files.
  • Usability and security enhancements: Additional usability and security enhancements provide the ability to reclassify documents earlier in the document separation process, upgraded security and user access controls with TLS1.2, and password masking within solution configuration.

https://www.hyland.com/en/platform/product-suite/brainware

Zignal Labs adds Lexalytics to provide natural language processing to platform

August 5, 2020 /

Lexalytics announced that Zignal Labs, creator of the Impact Intelligence platform for measuring the evolution of opinion in real time, has added Lexalytics Salience engine to extend its platform’s natural language processing (NLP) and text analytics capabilities to help marketers, communicators and analysts gain a greater understanding of perceptions across traditional and social media. With Lexalytics, Zignal’s customers across industries can understand what people are saying about products, services or current events, categorize discussions into separate groupings and themes, and evaluate the sentiment of media coverage across multiple languages.

http://www.lexalytics.com, http://www.zignallabs.com

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