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RESTON, Va.--(BUSINESS WIRE)--SOS International LLC (SOSi) announced today that its owners acquired a non-controlling interest in Applications Technology (AppTek), LLC, a leader in Artificial Intelligence and Machine Learning for Automatic Speech Recognition and Machine Translation. Under the agreement, SOSi becomes the exclusive reseller of AppTek products to U.S. federal, state, and local government entities. As part of the deal, Julian Setian, SOSis President and CEO, will become a member of AppTeks board of directors.

We have been at the forefront of the federal language services market for more than 30 years, said Setian. As our customers appetites for A.I. driven solutions have increased, this is the latest of a series of investments were making in market-leading commercial technologies that will disrupt the market and advance the mission capabilities of our customers.

The U.S. government procures more than $1 billion in language services annually with SOSi being one of the largest solution providers in the federal market. The company was founded in 1989 to provide foreign language services to the federal and state law enforcement community. It has since grown to become one of the U.S. Governments leading mid-tier technology and service integrators. Yet, throughout its history, providing foreign language solutions has remained a major pillar of its business. Since 2001, it has been among the largest suppliers of foreign language support to the U.S. Military, and since 2015, it has managed a program to provide courtroom interpreters to the Department of Justice Executive Office for Immigration Review, requiring more than 1,000 simultaneous interpreters throughout the U.S. and its territories.

We are continuing to focus on developing and delivering A.I. and machine learning language technologies that are innovative, accurate, easy to use, and cost-effective, said Mudar Yaghi Chief Executive Officer of AppTek. Given its history, SOSi is the perfect partner to help the federal government adopt the latest speech recognition and machine translation technology innovations.

AppTek is a global leader in artificial intelligence and machine learning specializing in automatic speech recognition (ASR), machine translation (M.T.), and natural language understanding (NLU). Founded in 1990, it employs one of the most agile, talented teams of speech scientists, PhDs and research engineers in the world. Its proprietary technology has been licensed and built into scaled offerings by some of the largest companies in the market, including eBay, Ford, and others. It is one of only a handful of major speech technology platforms available in the market today.

AppTeks Director of Scientific Research and Development is Dr. Hermann Ney, also a professor of computer science at RWTH Aachen University, one of the largest research institutes in this field in the world, and recipient of the distinguished 2019 James L. Flanagan Speech and Audio Processing Award presented by the Institute of Electrical and Electronics Engineers (IEEE). Dr. Ney has worked on dynamic programming and discriminative training for speech recognition, on language modeling, and data-driven approaches to machine translation. His work has resulted in more than 700 conference and journal papers; he is one of the most cited machine translation scientists in Google Scholar. In 2005, Dr. Ney was the recipient of the Technical Achievement Award of the IEEE Signal Processing Society; in 2010, he was awarded a senior DIGITEO chair at LIMIS/CNRS in Paris, France; and in 2013, he received the award of honor of the International Association for Machine Translation. Dr. Ney is a fellow of both the IEEE and of the International Speech Communication Association.

With the global speech recognition market forecast to reach $32 billion in revenues by 2025, AppTeks A.I.-fueled multilingual speech recognition and machine translation technologies have it poised for rapid growth. Its 30 years of technological expertise, patent-protected I.P. portfolio, and partnerships with key players in the industry offer a compelling competitive advantage. It has compiled one of the largest repositories of speech data for machine learning in existence in dozens of languages and dialects. Each data set has been used in the construction of AppTeks industry-leading ASR and M.T. engines and is scientifically tested for performance. The scientific vetting of these ML training sets provides a standardization and predictability of performance that is unique in the marketplace.

With technology, theres often a huge difference between being first to market, and being the best in the market, said John Avalos, SOSis Chief Operating Officer. With the AppTek deal, we aim to be both in a market that has a long way to go before it realizes the full potential of the latest speech technology.

Its newly acquired interest in AppTek is the sixth M&A deal SOSi has done to date, coming on the heels of its acquisition of Denmark-based NorthStar Systems in February. Under the terms of the agreement, SOSi and AppTek will jointly develop solutions for a variety of classified and unclassified use cases.

About SOSi

Founded in 1989, SOSi is the largest private, family-owned and operated technology and services integrator in the aerospace, defense, and government services industry. Its portfolio includes military logistics, intelligence analysis, software development, and cybersecurity. For more information, visit http://www.sosi.com and connect with SOSi on LinkedIn, Facebook, and Twitter.

About AppTek

Founded in 1990, AppTek is a leading developer of A.I. and Machine Learning applied to Neural Machine Translation, Automatic Speech Recognition and Natural Language Processing. These technologies are deployed at scale on the cloud and on-premise for call centers, the media, and entertainment industries.

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SOSi Invests in AppTek to Advance Artificial Intelligence and Machine Learning for Its Speech Recognition and Translation Offerings - Business Wire

BOSTON, June 17, 2020 /PRNewswire/ --Nob Hill Water Association announced they will renew their VODA.ai machine learning subscription for another year. VODA.ai's software has been helping reduce water loss, property damages and expenses with their artificial intelligence based virtual condition assessment for water mains. VODA.ai's daVinci machine learning platform enables utilities to make smart, data-driven decisions for proactively monitoring, repairing, replacing and, when appropriate, ignoring water mains.

Zella West, long time Manager for the Nob Hill Water Association, said "Every utility has more miles of mainline that should be replaced than there is money in the budget. Nob Hill is using this program to direct our valve exercising program to the mains that are predicted to fail so that if they do fail, the damages can be kept to a minimum." She added: "VODA.ai's artificial intelligence platform finds patterns of pipe strengths and weaknesses for all of our water mains. They even predict which pipes are likely to fail within the next twelve months. This helps us make smarter decisions on pipes to replace or leave alone. Asset management decisions based on the age of pipes or their failure history are generally less than half as accurate as VODA.ai's machine learning assessments."

About VODA.ai: VODA.ai uses artificial intelligence to assess the condition of water mains and help water utilities make smart decisions managing pipe assets. VODA.ai is a Software as a Service company serving utilities worldwide. It is headquartered in Boston Massachusetts.

About Nob Hill Water Association:Nob Hill Water Association provides water services in Yakima County, Washington, including much of the City of Yakima. It is a private, non-profit association and, outside of the city, is the largest water system in Yakima Valley.

If you would like more information about this topic, please email Jim Fitchett at [emailprotected] or call him at 978-502-1782.

SOURCE VODA.ai

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Nob Hill Water Association Saves Water and Costs with VODA.ai's Machine Learning - PRNewswire

SAN FRANCISCO, Calif., June 16, 2020 Scality, provider of software solutions for global data orchestration and distributed file and object storage, announced an investment in Fondation Inria, the Foundation of the well-known French national research institute for digital sciences,Inria. Bringing both financial and collaboration backing to the institute, Scality will help support multi-disciplinary research and innovation initiatives. This includes mind-body health, precision agriculture, neurodegenerative diagnostics, privacy protection and more.

To be at the forefront of technological advancements and research has been a priority for Scality since our inception and we currently hold 10 patents. It only made sense for us to deepen our relationship with one of the most advanced research institutes on AI and algorithms in the world, said Jrme Lecat, Scality CEO and co-founder. We believe that technology and digital sciences can provide answers to the issues facing our fractured global society. Inria research teams work on incredible projects that actually change lives with personalized medicine, precision agriculture, sustainable development, smart cities and mobility, and security and privacy protection.

Scality has been close to Inria for many years and is involved with several collaborative research projects that are developing new concepts for distributed and scalable storage with Inria Distinguished Research Scholar,Marc ShapiroOne such project isRainbowFSwhich investigates an approach to distributed storage that ensures distributed consistency semantics tailored to applications in order to develop smarter and massively scalable systems.

We are delighted to be working with Scality. This collaboration is bringing two major players in French technology closer in order to further research and innovation on a global scale, said Jean-Baptiste Hennequin, Fondation Inria managing director. Our values align very closely to Scalitys: innovative research, social responsibility and open source. For example, our sheltered foundations are promoting the distribution of open source software for the durable development by bringing together their user communities within consortia, in recognition of how software embodies humanitys technical and scientific knowledge.

Read more about some of the exciting projects carried out by Inria research teams:

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Scality Invests to Advance AI and Machine Learning with Inria Research Institute - HPCwire

Quantzig, a global data analytics and advisory firm that delivers actionable analytics solutions to resolve complex business problems, brings to you comprehensive insights into the benefits of machine learning and artificial intelligence for food delivery companies in its recent article.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20200616005880/en/

Whats in it for you?

Talk to our analytics experts for comprehensive insights on how artificial intelligence and machine learning for food delivery industry is transforming the complete food and beverages industry.

After several years of restricted use and confinement to tech labs, today artificial intelligence and machine learning have become dominant focal points for businesses especially in the food delivery industry. Food delivery industry is immensely popular among the millennials due to the convenience involved in the usage. The increasing competition among food delivery industry players to improve customer retention rates and improve product quality has forced the companies to explore new ways of improvement, and this is where big data, artificial intelligence and machine learning for food delivery industry comes into the picture.

Request a FREE proposal to learn more about our customized machine learning for food industry.

According to Quantzigs artificial intelligence and machine learning experts, "Food delivery industry players are now revolutionizing the food industry by leveraging artificial intelligence and machine learning to enhance their market reach and customer satisfaction rates."

Three Reasons Why Machine Learning for Food Delivery Industry is Important

1: Improve operational efficiency: Machine learning for food delivery industry helps to understand the customer behavior better and provide services as per their preferences. Artificial intelligence and machine learning is of great use when it come to analyze factors like the impact of temperature on food or the impact of market trends on consumption.

2: Enhance customer relationship: The rapid spread of artificial intelligence and machine learning in the food delivery industry have contributed significantly to the growing popularity of chatbots. These chatbots enable food delivery companies to enhance customer relationships. It is growing immensely popular due to its ability to drive better customer experiences.

3: Accurate delivery time estimates: Machine learning for food delivery industry helps to collect real-time data about traffic, and route plans and hence provides companies with an accurate estimation of the delivery time. Moreover, artificial intelligence and machine learning combined together can help in predicting the impact of these factors on food items and hence food delivery industry players can take preventive measures for food wastage.

Book a FREE solution demo to know how food delivery apps can leverage artificial intelligence and machine learning to evaluate their customers sentiments and take appropriate actions whenever required.

About Quantzig

Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. For more than 15 years, we have assisted our clients across the globe with end-to-end data modeling capabilities to leverage analytics for prudent decision making. Today, our firm consists of 120+ clients, including 45 Fortune 500 companies. For more information on our engagement policies and pricing plans, visit: https://www.quantzig.com/request-for-proposal

View source version on businesswire.com: https://www.businesswire.com/news/home/20200616005880/en/

Contacts

Quantzig Anirban ChoudhuryMarketing ManagerUS: +1 630 538 7144UK: +44 208 629 1455https://www.quantzig.com/contact-us

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What Makes Food Delivery Companies Bet Big on Artificial Intelligence and Machine Learning | Learn More in Quantzigs Recent Article - Yahoo Finance

ByNeil Bennett| on June 16, 2020

Roto Brush 2 (above) makes masking easier in After Effects, while Premiere Rush and Pro will automatically reframe and detect scenes in videos.

Adobe has announced new features coming to its video post-production apps, on the date when it was supposed to be holding its Adobe Max Europe event in Lisbon, which was cancelled due to COVID-19.

These aren't available yet unlike the new updates to Photoshop, Illustrator and InDesign but are destined in future releases. We would usually expect these to coincide with the IBC conference in Amsterdam in September or Adobe Max in October, though both of these are virtual events this year.

The new tools are based on Adobe's Sensei machine-learning technology. Premiere Pro will gain the ability to identify cuts in a video and create timelines with cuts or markers from them ideal if you've deleted a project and only have the final output, or are working with archive material.

A second-generation version of After Effects' Roto Brush enables you to automatically extract subjects from their background. You paint over the subject in a reference frame and the tech tracks the person or object through a scene to extract them.

Premiere Rush will be gaining Premiere Pro's Auto Reframe feature, which identify's key areas of video and frames around them when changing aspect ratio for example when creating a square version of video for Instagram or Facebook.

Also migrating to Rush from Pro will be an Effects panel, transitions and Pan and Zoom.

Note: We may earn a commission when you buy through links on our site, at no extra cost to you. This doesn't affect our editorial independence. Learn more.

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After Effects and Premiere Pro gain more 'magic' machine-learning-based features - Digital Arts