Curated content for content, computing, and digital experience professionsals

Category: Computing & data (Page 1 of 26)

Topics include computing platforms, analytics, data modeling and databases, machine learning / AI, Internet of Things (IoT), blockchain, augmented reality, bots, programming languages, natural language processing, and machine translation.

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

Gilbane Advisor 7-14-20 — perceiving, DSM, web 3.0, microservices

Dear Reader:

I hope all is well.

We have been busy updating our website and I thought you deserved a quick update. In mid-May we woke up “NewsShark” and re-activated our curated news service which hasn’t been active for a while. It is available on our site here, as a feed, and on Twitter. We publish news multiple times a week, and will check with you at some point to see if you are interested in an email version. We have consolidated all of our content on our main site, improved site navigation, added back search, and have a new simplified category structure – all available from any page. Finally, we are using schema.org markup and experimenting with some additional features that it allows — you’ll notice some of them as you poke around. We’ll update you as we formally roll them out.

Now to this issue’s recommended reading…

Comparing human and machine perception

This article is a wonderfully clear and concrete example of how easy it is to incorrectly interpret data from comparisons between deep neural networks and human perceptions, and how to think about further experiments to expose potential misinterpretations. There is also a broader lesson here for evaluating machine learning algorithms. 

There is a link to the full paper, but this summary by the authors is a valuable resource for non-specialists. Read More

Decentralized web developer report 2020

The decentralized web is an amorphous collection of technologies and projects that are not a near-term threat to today’s imperfect and increasingly centralized web. But it is encouraging to see so much activity dedicated to a more open web, and this report by Fluence Labs’ Evgeny Ponomarev is an excellent way to get a feel for the landscape of the players, the challenges, and what software engineers, researchers, and others think. This is not one of those promotional market research reports, and doesn’t gloss over the challenges. The raw survey data is included. Read More

The seven deceptions of microservices

Software architectures are not the sort of thing you create or change lightly. Even if you’re convinced a different approach would be better, there are inevitably unforeseen developmental and operational consequences / costs which can quickly multiply scarily as a function of the number of moving parts. Software architects and experienced software engineers know this, but the whole team should understand the pros and cons of such a change. Software engineer Scott Rogowski suggests some things to watch out for when considering moving to a microservices development model. Read More

Online content sharing – pay to play?

Article 17 of Directive (EU) 2019/790 on Copyright in the Digital Single Market (the “DSM Directive”), introduces a new content management and liability regime for online content-sharing service providers (“OCSSPs”) … Article 17 is one of the most controversial provisions of the DSM Directive. Its supporters view Article 17 as facilitating more licensing of copyright protected works online to generate remuneration for rightholders whose works are shared by users on profit generating online platforms, while its detractors argue that it goes too far and will have an adverse effect on freedom of expression and the proper functioning of copyright exceptions online. Read More

Also…


The Gilbane Advisor curates content for content technology, computing, and digital experience professionals. We focus on strategic technologies. We publish more or less twice a month except for August and December. We do not sell or share personal data.

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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/

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