Onymos DocKnow eliminates the need for time-intensive and error-prone manual data processing by using enhanced optical character recognition (OCR) to extract information from both structured and unstructured data. This includes printed and handwritten text, numbers, dates, checkboxes, barcodes, QR codes, and more from any document, including personal identification, intake forms, and health and immunization records. DocKnow can also be easily integrated with any third-party back-end information management system – such as Salesforce, AWS, Azure, and Google – or health record system.

In this latest version, DocKnow is strengthened by:

• A new customer-specific LLM API: This new API enables enterprises to train their own LLMs using their specific data, resulting in more accurate and domain-specific document processing. For instance, DocKnow reliably and instantly identifies inconsistent data across hundreds of pages.
• A new, helpful AI assistant: “Doc,” the Onymos AI agent, enables document processing teams – which could include healthcare professionals, legal teams, university registrars, and more – to search through specific documents and hundreds of pages for immediate access to particular information and records.
• An upgraded, customizable user interface (UI): The new, simple UI includes bounding boxes, automatic zoom-in/zoom-out, image enhancement, and skew correction, which dramatically improves readability for human reviewers. It allows full customization to match an enterprise’s brand, required functionality, and back-end systems. This gives enterprise software engineering and IT teams the ability to modify the component to meet their specific needs as if they had built it from the ground up themselves.

“We understand that many enterprises struggle with time-consuming and error-prone processes like document entry, validation, and retrieval, whether it’s for patient care, student registration, or case file review. While these enterprises have started integrating AI tools powered by LLMs like ChatGPT to help with these activities, they often encounter hallucinations and outdated training data issues,” shared Shiva Nathan, Founder and CEO of Onymos. “Our enhanced DocKnow addresses these challenges by streamlining document processing and empowering enterprises to train their own LLM models tailored to their specific needs, all while ensuring privacy and security.”

As with all Onymos software components, DocKnow is designed with a no-data architecture. This means that all data passing through the solution and used to train the LLM remains securely with the enterprise using the API – no bit or byte of data flows through any Onymos systems or clouds.

For more information on Onymos and DocKnow, visit onymos.com. You can also learn more about Onymos’ no-data architecture by downloading the white paper here.

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The serverless security technology is provided by Protego and designed to prevent malicious attacks on serverless functions in runtime and prevent vulnerable code from being deployed into production. 

“The Check Point CloudGuard platform is now extended with serverless technology providing the CISO with full visibility, control and complete security coverage of all serverless estate,” Check Point wrote in a post.

AppSheet adds Optical Character Recognition capabilities
No-code application platform Appsheet announced that it has added Optical Character Recognition (OCR) and new predictive model features to its intelligent platform. 

“Our new OCR and predictive model capabilities further demonstrate how any business can easily embed AI and ML capabilities in intuitive software solutions to help drive productivity, without requiring specialized developers or data scientists,” said Praveen Seshadri, founder and CEO of AppSheet.

AppSheet’s new predictive models perform a statistical analysis of users’ app data to make predictions about future outcomes. Each predictive model is powered by a machine learning algorithm that learns to generalize from a user’s historical data, according to the company. 

Machine learning and AI platform Dataiku 6 now available
Dataiku released Daitaku 6, its enterprise AI and machine learning platform, which includes the ability for users to manage Kubernetes clusters from inside the platform. 

Dataiku 6 offers a suite of new features to empower organizations to build sustainable AI systems, according to the company. 

“Dataiku 6 enables enterprises to do just that by offering more features for white box AI, collaboration, efficiency, and elastic resource management to allow businesses’ AI to evolve along with the technology,” said Florian Douetteau, the CEO of Dataiku. 

The full details are available here.

OpenAPI Generator 4.2.2 released
OpenAPI announced the latest release of its OpenAPI Generator 4.2.2, which comes with the new generator ‘typescript-redux-query,’ as well as the new features and improvements. 

The full list of changes in the new release is available here.

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According to the company, traditional OCR technologies can only do so much due to their inability to recognize layouts like forms and tables, often spitting out one big text heap.

Textract uses machine learning to automatically extract text and data from a wide variety of formats that include image formats such as scans, PDFs  and photos, which customers can then input into Amazon’s wide array of database and analytics services, according to Amazon.

“Many companies extract text and data from files such as contracts, expense reports, mortgage guarantees, fund prospectuses, tax documents, hospital claims, and patient forms through manual data entry or simple OCR software. This is a time-consuming and often inaccurate process that produces an output requiring extensive post-processing before it can be put in a format that is usable by other applications,” the company explained in a announcement.

The company claims Textract goes beyond traditional OCR technologies to identify the context of the information such as a name or social security number on a tax form, a product SKU, or quantity in a warehouse from an inventory report.

Amazon Textract takes scanned files stored in an Amazon S3 bucket, reads them, and returns data in the form of JSON text annotated with the page number, section, form labels, and data types. Additionally, the company explains developers will be able to analyze and query extracted text and data with database and analytic services such as Amazon Elasticsearch Service, Amazon DynamoDB and Amazon Athena. Developers can also integrate Textract with machine learning services like: Amazon Comprehend, Amazon Comprehend Medical, Amazon Translate and Amazon SageMaker.

“In addition to the integration with other AWS services, the rich partner community developing around Amazon Textract makes it possible for customers to gain real meaning from their file collections, operate more efficiently, improve security compliance, automate data entry, and facilitate faster business decisions,” said Swami Sivasubramanian, the vice president of Amazon Machine Learning.

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“Extensive collaboration with the Microsoft Azure team, originating at Microsoft Build 2017, has paved the way for this release,” said Rich Little, president of LEAD Technologies. “We look forward to seeing existing and new customers, across all verticals, leverage these services to optimize and expand their unique offerings.”

The imaging capabilities provided by this new offering including OCR, document conversion, barcode recognition, and check recognition. According to the company, these new offerings will help expand popular LEADTOOLS technologies into new markets and customer bases.

The API is designed with very minimal requirements, enabling developers to use the API key to make JSON requests from any programming language. It also allows a wider variety of tools and IDE to be used, such as Visual Studio Code, Sublime, and Notepad++.

“Microsoft Azure offers a broad range of services to create a variety of applications,” stated Shawn Nandi, senior director of strategy and partner for Azure at Microsoft. “The launch of LEADTOOLS Cloud Services will provide a great option for developers looking to leverage imaging and recognition technology in their Azure applications.”

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Developers will be able to add different voices within a skill to create a more engaging experience for users, according to the company. 

In addition, the company says developers can make money through Alexa skills using in-skill purchasing, Amazon Pay for Alexa Skills or Alexa Developer Rewards.

Pluralsight announces pricing for its Initial Public Offering
Pluralsight has announced the pricing for its Initial Public Offering. It will offer 20,700,000 shares of its Class A stock at a price of $15.00 per share.

Pluralsight will begin trading on The Nasdaq Global Select Market today and the offering is expected to close on May 21, the company said.

The company is offering underwriters a 30-day option for purchasing 3,105,000 additional shares of stock to cover any over-allotments.

Samsung reveals new partnerships and features for Samsung ARTIK
Samsung announced new partnerships and features for Samsung ARTIK at IoT World 2018. The IoT solution features enhanced operations for smart factories, insight and control over remote assets, and connected lighting systems for energy management.

New partners announcing ARTIK-enabled solutions include: Shoreline IoT, SL Corporation, ForgeRock, Gambit Communications and Dizmo.

“Better asset management, monitoring and security are some of the most critical requirements to accelerate growth in the fourth industrial revolution,” said James Stansberry, senior vice president and general manager of ARTIK IoT at Samsung Electronics. “IoT has the ability to transform today’s businesses into more intelligent and efficient operations, yet it can also require extremely complex solutions to implement. ARTIK untangles the common complexities of IoT deployments with a full range of turn-key partner IoT solutions that provide flexibility and efficiency, so organizations can remain focused on how they can best provide tangible returns to their customers’ bottom line.”

ABBYY releases updated SDK with improved text recognition, PDF conversion, and data capture functionalities
ABBYY has announced the launch of ABBYY FineReader Engine 12, which is an SDK that enables business to integrate text recognition, PDF conversion, and data capture functionalities into software applications.

The SDK adds improved OCR of Japanese and adds Farsi as a recognition language. It features a new layout which makes it easier to work with financial documents. Additionally, it uses machine learning and natural language processing to more precisely classify documents.

According to the company, these features in combination with new output formats such as PDF 2.0, PDF/US, and HTML5, will enable customers to increase the quality of solutions and offers new services to address new markets.

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In Apple Insider’s report, third-party developers have voiced their complaints, including Jon Ashwell, developer of the Bookends reference-management program, who said: “I’ve filed a number of radars with Apple, two of which were closed as duplicates. In another case, I was asked to provide our app, but after doing so there has been only silence. I’ve never seen such a sorry case of sloppy code and indifference from Apple.”

Apple Insider and Adam Engst (a writer for TidBITS) “recommend users avoid using Preview to edit PDF documents whenever possible as a workaround to OCR layer removal and other bugs introduced by Apple.”

Firefox and the Tor Project’s ongoing partnership in 2017
Firefox and the Tor Project will continue their collaboration in 2017, working on uplifting a set of patches that prevent forms of browser fingerprinting, and on sandboxing.

According to the Tor Project’s blog, the team wants to look at how they can work together with Firefox, especially in terms of sandboxing and building on the work that Yawning Angel (a longtime Tor developer) has done previously for Tor. Yawning Angel also has worked on Firefox sandboxing features, which are scheduled to start shipping early this year.

Additionally, the Tor Project said it wanted to recognize the collaboration between Mozilla and the Tor Project for security vulnerabilities. The collaboration allowed it to develop, test and ship a fix to both browsers for a zero-day exploit, which was targeted at Tor Browser using a Firefox vulnerability. With the collaboration, Tor was able to develop, test and ship a fix to the browsers in less than a day.

Linux 4.10 rc2 announced
Following Linux’s biggest release (version 4.9), Linux creator Linus Torvalds has announced the release of Linux 4.10 rc2. According to him, this release is “ridiculously and unrealistically small.” It features the DAX fixes as well as other small fixes.

“I almost decided to skip rc2 entirely, but a small little meaningless release every once in a while never hurt anybody,” Torvalds wrote.

Red Hat announces CloudForms 4.2
Red Hat announced an update to its open hybrid cloud-management solution. CloudForms 4.2 allows IT teams to speed up their service delivery and focus on critical issues. CloudForms is based on the open-source ManageIQ project, and offers IT organizations a self-service portal to manage their life cycles, from provisioning to retirement.

Features include improvements to public cloud, private cloud and container-based platforms; metrics and events enhancements for Microsoft Azure and Google Cloud Platform; updated capabilities for OpenStack; and enhanced charge capabilities for containers.

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Optical character recognition (OCR) software converts images containing text into a digitally readable format. The technology’s inclusion in Windows Runtime, Microsoft’s Windows 8/8.1 application architecture, allows Windows developers to copy text from images, perform text searches in images and translate text from a multitude of image types.

The OCR Library was released in a NuGet package format, and it runs entirely on the client by supporting 21 languages and image processing from sources such as cameras and image files. Developers simply open an app in Visual Studio and pull up the Microsoft OCR NuGet package.

When adding the new Windows Runtime library to an application, the developer controls how the OCR Library extracts, interprets and returns text—configuring the library to recognize text patterns such as email addresses, phone numbers and URLs. Microsoft has also released a sample OCR Library app to test the technology.

More information can be found on the Windows blog and on MSDN.

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