Press Releases

SAN JOSE, Calif., March 15, 2019 /PRNewswire/ — YuJa, a leader in video solutions for higher-education, announces significant incentives for institutions that are currently McGraw-Hill Tegrity customers. For a limited time, YuJa is offering all Tegrity customers who switch to the YuJa Enterprise Video Platform before July 1, 2020 significant migration incentives including:

• Complimentary bundling of our Video Conferencing product including HTML5-based video conferencing, toll-free audio dial-in, real-time whiteboards, document, screensharing, and chat.
• Opportunity to receive up to $5,000 in either human captioning or artificial intelligence-based automatic-captioning.
• Access to a custom-built migration toolkit that has successfully migrated over 250,000 hours of Tegrity content to YuJa.
• Pre-bundled access to our Student Proctoring product that enables a seamless transition from Tegrity’s Proctoring tool.

Join the Dozens of Institutions Who Recently Have Made the Switch
These incentives are part of YuJa’s commitment to providing exemplary service to former Tegrity customers including Indiana State University, Henry Ford College, and one of Tegrity’s largest customer, the entire North Dakota University System (NDUS).

Choose a Proven Video Platform
Beyond special incentives for Tegrity customers, institutions can feel confident in making the switch to YuJa with our award-winning customer service, experienced implementation team, and third-party auditing and governance strategy.

The YuJa Enterprise Video Platform offers full-scale media management, a complete portfolio of lecture and video capture tools, course and event live streaming, in-video quizzing, video editing, video conferencing and much more. See what our customers have to say about their experience switching from Tegrity to YuJa.

For Tegrity customers interested in finding out more about the migration program and incentives, send us an e-mail to sales@yuja.com.

About YuJa
YuJa is a leader in enterprise video solutions. Our products harness the power of video to educate, engage, inspire and collaborate. We serve organizations of all sizes within all sectors including higher-ed, K-12, government and corporate delivering video experiences including lecture capture, live streaming, media management, video conferencing, and immersive social & mobile engagement tools. We have legal headquarters in Delaware with primary U.S. offices in Silicon Valley, California and Canadian offices in Waterloo and Toronto.

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SOURCE YuJa

SAN FRANCISCO, March 15, 2019 /PRNewswire/ — Fyber (FSE: FBEN), a leading technology company creating solutions for smarter ad monetization, today announced it has partnered with Game of Whales, provider of an AI-driven monetization optimization platform. This will offer a first of its kind, transparent, accurate and holistic monetization solution that empowers app and game developers to have full view of user lifetime value (LTV) in order to optimize user acquisition budgets, as well as customize the user experience to drive retention and prevent churn.

Better, More Efficient User Acquisition Campaigns
Acquiring new users is a difficult and costly exercise for mobile app and game publishers. To drive ROI, publishers need a better understanding of their user-acquisition ROI. This partnership enables publishers to calculate user LTV based on the combination of in-app purchases (IAP) and ads revenue, and use that insight to model profitable users and optimize user acquisition campaigns to target the right users.

User-Specific Experience, Driven by Automation
Since the birth of digital advertising, publishers have sought to create tailor-made experiences for their users, both to maximize user retention and to drive overall yield. Until now, the goal of tailor-made experiences has been stymied by two major challenges. The first is data blind spots, also known as aggregated data inputs that makes it impossible to accurately measure revenue at the user level, making any ROI calculations highly unreliable, preventing publishers from segmenting users into cohorts, let alone treating them as individuals. The second is the lack of automated solutions that enable publishers to customize user experiences at scale.

Now, thanks to the partnership between Fyber and Game of Whales, publishers can tailor experiences to each and every individual user automatically at scale. By combining highly accurate user level advertising and in-app purchase revenue under one roof, and by applying machine learning to in-app behavioral segmentation as well as creating an appropriate app experience, the vision has become a reality.

Impression-Level Revenue Data
The Fyber / Game of Whales solution is unique in that it does not rely on samples or estimates to calculate individual user ad LTV. Thanks to Fyber FairBid, which allows all demand partners to purchase mobile in-app inventory programmatically, along with Fyber’s Impression-Level Revenue Data, Fyber can attribute each impression, along with the price paid, to the individual user engaging with the ad. This highly accurate, real-time data allows publishers to ascertain how much ad revenue they’ve gained from each user and use that insight to predict ad LTV.

Holistic LTV
Game of Whales is recognized as the industry leader in tracking verified, fraud-free in-app purchase (IAP) data, as well as segmenting users based on in-game behavior in order to create tailored experiences (e.g. withholding ads for users that are in high probability of becoming payers, or offering user-specific discounts on IAP or in-game items in order to improve conversion rates). Through this partnership, these capabilities are augmented by Fyber’s accurate ad revenue data, allowing publishers to calculate a holistic LTV at the user level.

Segment of One
In addition to accurate holistic LTV data and advanced user behavioral segmentation, the partnership provides a fully automated solution that makes decisions about the user experience. For example, it can decide to show specific offers to select users, or it can determine which users should see an ad.

“We’re thrilled to partner with Game of Whales so that together we can unlock the value of the segment of one. Our combined solution allows publishers to maximise yield and optimise the experience of each individual user, which is game changing. For the first time, they’re in full control of their destinies,” said Offer Yehudai, President at Fyber.

“We are excited to partner with Fyber, whose advanced programmatic bidding technology allows publishers to see a complete and precise LTV on a user level. In the last few years since the rise of the hyper-casual trend, the ads share in the total revenue pie has increased significantly and nowadays, even the top grossing companies are looking to monetise the 98% that don’t pay through IAP in a smart way without risking the existing revenues. While the tracking, attribution and optimisation of IAP have evolved significantly, ads revenue remained a “black box”. With this partnership, we deliver a cutting edge, holistic LTV optimization platform that takes into consideration both IAP and ads to assure the right action is taken for every specific user,” said Doron Kagan, Co-Founder and CEO at Game of Whales.

About Fyber
Fyber is a global technology company, developing a next generation monetization platform for mobile app publishers. Fyber combines proprietary technologies and expertise in mediation, RTB, video and audience segmentation to create holistic solutions that shape the future of the app economy. Fyber’s monetization SDK is directly integrated into over 10,000 mobile apps and the company’s platforms reach over 1.2 billion unique monthly users. Fyber has seven global offices in San Francisco, New York, London, Berlin, Tel Aviv, Beijing and Seoul. It is publicly traded on the Frankfurt Stock Exchange under the symbol FBEN.

About Game of Whales
Founded in 2016, Game of Whales, winner of “Best tools provider” award for 2019, develops a fully automated artificial intelligence-based system that micro-segment the users based on their in-game behavior, interacts with them accordingly and self-optimise, allowing mobile game developers to seamlessly increase their user’s lifetime value.

Contact:
Melisa Fati
melisa.fati@gmail.com  
+44(0)7548-922-336

 

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SOURCE Fyber

NEW YORK, March 15, 2019 /PRNewswire/ — Ideanomics (NASDAQ: IDEX) (“Ideanomics” or the “Company”), a global AI-driven management and financial services company acting as a catalyst for transformative industries, is pleased to provide an update on our latest operational business model.

Under this adjustment, the company’s core operational areas are now aligned with the market demand we are seeing for 2019, these three “engines” are:

The Ideanomics AI Engine Group. Built upon our subsidiary BBDCG, which we are re-branding as Intelligenta, we will be launching an AI-powered database fine-tuned for the banking and insurance industries to be available as both a PaaS and Saas enterprise solution. We also anticipate an additional AI service offering for non-financial services customers, through partnership with a leading enterprise-grade AI solutions provider that is currently in negotiations.

The Ideanomics Digital Banking Advisory Group covering 2 key areas of operations:

• Digital Renaissance Innovation Catalyst Programming Hubs from 5 key global innovation centers such as our planned fintech campus in West Hartford, Connecticut, along with our planned cleantech/Greentech campus in Kuala Lumpur, Malaysia and other soon to be announced innovation centers in other global locations. These global innovation centers will foster a pipeline of technological excellence in cleantech, fintech, tradetech, agritech, regtech, insuretech, playtech, healthtech, cyber security, and more. As well as our external deal origination efforts described below, we anticipate scaling these technologies into profitable companies within each sector of expertise to the point of IPO or Digital Security Offering for each respective company. In the last 18 months, Ideanomics has formed more than 10 previous acquisitions, joint ventures, and partnerships, such as our previously announced partnership with CVC which have helped form the initial companies within these hubs.
• Global Asset-Backed Debt Exchange Ecosystem built on a foundation of:
• Deal Origination, with a focus on asset-backed securities such as Real Estate, Transportation Assets, and Consumption Insurance
• AI-based Risk Management and Benchmarking for Fixed Income offerings
• Banking Advisory Broker Dealers (in negotiations)
• Issuance / Custody / Trading through our investment in DBOT and others in negotiations
• Market-leading Sales & Mandating

The Ideanomics Digital Asset Management Group provides large-scale holders of assets and crypto currencies with either asset-backed or benchmarked-value globally compliant digital advisory and business development services that stabilize and grow the value of their portfolios.

We expect to further advise the markets on our sales initiatives during our 2018 year-end investor conference call on April 1, 2019. (See our announcement here).

About Ideanomics
Ideanomics harnesses the power of Artificial Intelligence and Blockchain to empower your financial decisions. Ideanomics, a global Fintech and AI catalyst for transformative industries combines deal origination and enablement with technology and applications as part of the next-generation of financial services.

The company is headquartered in New York, NY, and has offices in Beijing, China, with plans for global centers for Technology and Innovation such as our primary fintech village campus in West Hartford, CT.

Safe Harbor Statement
This press release contains certain statements that may include “forward looking statements”. All statements other than statements of historical fact included herein are “forward-looking statements.” These forward-looking statements are often identified by the use of forward-looking terminology such as “believes,” “expects” or similar expressions, involve known and unknown risks and uncertainties, and include statements regarding our intention to transition our business model to become a next-generation financial technology company, our business strategy and planned product offerings, our intention to phase out our oil trading and consumer electronics businesses, and potential future financial results. Although the Company believes that the expectations reflected in such forward-looking statements are reasonable, they do involve assumptions, risks and uncertainties, and these expectations may prove to be incorrect. You should not place undue reliance on these forward-looking statements, which speak only as of the date of this press release. The Company’s actual results could differ materially from those anticipated in these forward-looking statements as a result of a variety of risks and uncertainties, such as risks related to: our ability to continue as a going concern; our ability to raise additional financing to meet our business requirements; the transformation of our business model; fluctuations in our operating results; strain to our personnel management, financial systems and other resources as we grow our business; our ability to attract and retain key employees and senior management; competitive pressure; our international operations; and other risks and uncertainties disclosed under the sections entitled “Risk Factors” and “Management’s Discussion and Analysis of Financial Condition and Results of Operations” in our most recent Form 10-K and Form 10-Q filed with the Securities and Exchange Commission, and similar disclosures in subsequent reports filed with the SEC, which are available on the SEC website at www.sec.gov.. All forward-looking statements attributable to the Company or persons acting on its behalf are expressly qualified in their entirety by these risk factors. Other than as required under the securities laws, the Company does not assume a duty to update these forward-looking statements.

Investor Relations and Media Contact
Tony Sklar, VP of Communications at Ideanomics
55 Broadway, 19^th Floor New York, New York 10006
Email: ir@ideanomics.com
www.ideanomics.com
Tel: +1.212.206.1216

 

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SOURCE Ideanomics

DUBLIN, March 15, 2019 /PRNewswire/ — The “Artificial Intelligence in Sports Market: AI in Sports by Technology, Applications, Sports Level (Olympic, Professional, College), Sports Type, User Type (Owner, Coach, Player, Spectator), Use Case, Deployment, Region and Country 2019-2024” report has been added to ResearchAndMarkets.com’s offering.

Key Findings

• AI improves the value of cross-training by team role/position between 9 and 32 percent
• Up to 65% of long-term cognitive dysfunction due to concussions is preventable through the use of AI
• AI in sports will improve individual and team performance by an average of 17% and 28% respectively
• Top benefits of AI in sports include performance improvement, injury prevention, and recruitment
• AI will improve revenue, reduce operational costs, and improve valuations of professional sports teams

This is the only research available that focuses on Artificial Intelligence (AI) in the sports industry. AI in the sports market represents a substantial opportunity for operational improvements including efficiency and effectiveness enhancements that ultimately lead to substantive team game performance.

This provides an assessment of the technologies, companies, strategies and solutions involved in leveraging artificial intelligence in sports market. The report analyzes AI in the sports market by sports level, type of sport, user type, and deployment options.

The report provides AI in sports market sizing for the aforementioned as well as a forecast for AI in the sports market by region and country from 2019 to 2024. It is important to note that certain countries focus on very specific sports, so AI in sports will vary significantly on a country by country basis and not just by comparative population or per capita GDP.

Market Insights

Improving the overall efficiency and effectiveness of teams and individual athletes has big implications as sports-related activities and events have become a major industry in the last few decades. Professional sports in particular have become a big business with the asset value of major teams at well over $1 billion each, generating triple-digit millions in revenue annually.

For example, the New England Patriots (American) football team is valued at roughly $3.8 billion, and generates over $500 million in total revenue annually. With about $103 million in revenue due to gate receipts, it is clear that a large portion of professional sports teams rely on non-venue related revenue including sponsorship, media rights, and merchandising. With the level of financials involved in a given organization, AI in the sports market is a meaningful investment for most team owners.

Sports at the Olympic, professional, and collegiate levels has become very data-driven as decisions ranging from recruitment and training to strategy and in-game tactics rely upon statistics and a dynamic set of variables including personnel, game conditions, and scenarios. Would be Olympians depend on sponsors, trainers, and coaches for major funding and support.

Sponsorship is a multi-million investment for each athlete, underscoring the need to make the best decisions possible for sovereign nations and companies involved in deciding who will be developed with the intent of representing a country in a given sport and sporting event for the Olympics. Wise implementation of AI in the sports market represents a means of sponsoring countries, companies, and wealthy benefactors to maximize their investment in the best world athletes.

At the collegiate level, a great deal is at stake in terms of recruiting athletes to become professionals. There is also great importance for National Collegiate Athletic Association division IA teams who vie for various milestones such as winning seasons, division leadership, league championships, playoff appearances, and championships.

Much is at stake from an alumni goodwill perspective, which translates into donations for sporting programs, which funds university and college development. AI in the sports market at the collegiate level provides this type of indirect benefit as college sports programs must be careful to not step over the line in terms of rules regarding financial benefits to players.

Report Benefits

• The only report of its type focusing on AI in the sports market
• Understand how AI in sports will improve sports operations
• Identify opportunities and challenges of implementing AI in sports
• Understand how AI in sports relies upon other supporting technologies

Key Topics Covered

1. Executive Summary

2. Introduction
2.1. Why AI in Sports?
2.2. Risks and Benefits
2.3. Opportunities and Challenges

3. AI in Sports and Related Technologies
3.1. AI and Computing
3.1.1. Machine Learning
3.1.2. Data Analytics
3.1.3. Natural Language Processing
3.1.4. Cognitive Computing
3.1.5. Computer Vision
3.2. Data Solutions
3.2.1. Data Analytics
3.2.2. Data as a Service
3.2.3. Decisions as a Service
3.3. Internet of Things
3.3.1. Wearable Devices
3.3.2. M2M Connectivity
3.3.3. IoT Messaging
3.3.4. IoT Command and Control

4. AI Applications
4.1. AI in Sports Recruitment
4.2. AI in Performance Improvement
4.3. AI in Game Planning
4.4. AI in Game Tactics
4.5. AI in Injury Prevention

5. AI in Sports by Level
5.1. Olympic
5.2. Private
5.3. Professional
5.4. Collegiate
5.5. High School
5.6. Middle School
5.7. Early Childhood Sports and Fitness

6. AI in Sports by Type
6.1. Baseball
6.2. Basketball
6.3. Boxing
6.4. Cricket
6.5. Football (American)
6.6. Golf
6.7. Gymnastics
6.8. Hockey (Field)
6.9. Hockey (Ice)
6.10. Mixed Martial Arts
6.11. Racing (automobiles)
6.12. Racing (horses)
6.13. Rugby
6.14. Skiing
6.15. Soccer (association football)
6.16. Table Tennis (ping pong)
6.17. Tennis
6.18. Volleyball
6.19. Wrestling

7. AI in Sports Operations
7.1. Long Term Planning
7.1.1. Team Planning
7.1.2. Budget Planning
7.1.3. Recruitment
7.1.4. Long Term Injury Prevention
7.2. Game Strategy
7.2.1. Game Preparation
7.2.2. Game Plan Development
7.2.3. Evaluating the Data
7.2.4. AI Enabled VR Simulations
7.3. Game Tactics
7.3.1. Game Plan Execution
7.3.2. In-game Adjustments
7.3.3. Improved Communication

8. AI in Sports Spectatorship
8.1. During the Game
8.1.1. Interactive Sports
8.1.2. Game Watching
8.1.3. Game Attendance
8.2. Between Game Engagement
8.2.1. Player, Coach, and Fan Interaction
8.2.2. Predicting Outcomes
8.3. Other Fan Involvement
8.3.1. Fantasy Sports
8.3.2. Gambling
8.3.3. Traditional Sports and eSports

9. AI Company Analysis
9.1. 24/7.ai Inc.
9.2. Active.Ai
9.3. Advanced Micro Devices (AMD) Inc.
9.4. AIBrian Inc.
9.5. Amazon Inc.
9.6. Anodot
9.7. AOL Inc.
9.8. Apple Inc.
9.9. ARM Limited
9.10. Atmel Corporation
9.11. Baidu Inc.
9.12. Cisco Systems
9.13. DeepScale
9.14. Digital Reasoning Systems Inc.
9.15. Directly
9.16. Facebook Inc.
9.17. Fujitsu Ltd.
9.18. Gamaya
9.19. Gemalto N.V.
9.20. General Electric (GE)
9.21. General Vision Inc.
9.22. Google Inc.
9.23. Graphcore
9.24. H2O.ai
9.25. Haier Group Corporation
9.26. Haptik
9.27. Hewlett Packard Enterprise (HPE)
9.28. Huawei Technologies Co. Ltd.
9.29. IBM Corporation
9.30. Imagen Technologies
9.31. Inbenta Technologies Inc.
9.32. Intel Corporation
9.33. InteliWISE
9.34. IPsoft Inc.
9.35. iRobot Corp.
9.36. Juniper Networks, Inc.
9.37. Koninklijke Philips N.V
9.38. Kreditech
9.39. KUKA AG
9.40. Leap Motion Inc.
9.41. LG Electronics
9.42. Lockheed Martin
9.43. MAANA
9.44. Micron Technology
9.45. Microsoft Corporation
9.46. MicroStrategy Incorporated
9.47. Miele
9.48. Motion Controls Robotics Inc.
9.49. motion.ai
9.50. Neurala
9.51. NewtonX
9.52. Next IT Corporation
9.53. Nokia Corporation
9.54. Nuance Communications Inc.
9.55. OccamzRazor
9.56. Omron Adept Technology
9.57. Onfido
9.58. Oracle Corporation
9.59. Panasonic Corporation
9.60. Petuum
9.61. PointGrab Ltd.
9.62. QlikTech International AB
9.63. Qualcomm Incorporated
9.64. Rethink Robotics
9.65. Rockwell Automation Inc.
9.66. Salesforce
9.67. Samsung Electronics Co Ltd.
9.68. SAP
9.69. SAS Institute Inc.
9.70. Sentient Technologies Holdings Limited
9.71. Siemens AG
9.72. Signal Media
9.73. SoftBank Robotics Holding Corp.
9.74. SparkCognition Inc.
9.75. Spatial
9.76. Specif.io
9.77. Tellmeplus
9.78. Tend.ai
9.79. Tesla Inc.
9.80. Texas Instruments Inc.
9.81. Textio
9.82. Umbo Computer Vision
9.83. Veros Systems Inc.
9.84. vPhrase
9.85. Wade & Wendy
9.86. Wind River Systems Inc.
9.87. Woobo.io
9.88. Xiaomi Technology Co. Ltd.
9.89. XILINX Inc.
9.90. Yanu

10. AI in Sports Market Analysis and Forecasts 2019 – 2024
10.1. Global Aggregate AI in Sports Market 2019 – 2024
10.2. AI in Sports Market by Technology 2019 – 2024
10.2.1. Machine Learning in Sports Market
10.2.2. NLP in Sports Market
10.2.3. Cognitive Computing in Sports Market
10.2.4. Computer Vision in Sports Market
10.2.5. Data as a Service in Sports Market
10.2.6. Decisions as a Service in Sports Market
10.3. AI in Sports Market by Sports Level 2019 – 2024
10.3.1. Olympic
10.3.2. Private Teams
10.3.3. Professional
10.3.4. Collegiate
10.3.5. High School
10.3.6. Middle School
10.3.7. Early Child Sports and Fitness
10.4. AI in Sports Market by Type 2019 – 2024
10.4.1. Baseball
10.4.2. Basketball
10.4.3. Boxing
10.4.4. Cricket
10.4.5. Football (American)
10.4.6. Golf
10.4.7. Gymnastics
10.4.8. Hockey (Field)
10.4.9. Hockey (Ice)
10.4.10. Mixed Martial Arts
10.4.11. Racing (Automobiles)
10.4.12. Racing (Horses)
10.4.13. Rugby
10.4.14. Skiing
10.4.15. Soccer (Association Football)
10.4.16. Table Tennis (Ping Pong)
10.4.17. Tennis
10.4.18. Volleyball
10.4.19. Wrestling
10.5. AI in Sports Market by User Type 2019 – 2024
10.5.1. Owners
10.5.2. Coaches
10.5.3. Players
10.5.4. Spectators
10.6. AI in Sports Market by Use Case 2019 – 2024
10.6.1. Performance Improvement
10.6.2. Long-term Injury Prevention
10.6.3. Game Planning and Preparation
10.6.4. In-game Decision Making
10.6.5. Personnel Management
10.7. AI in Sports by Deployment 2019 – 2024
10.7.1. Embedded AI Software
10.7.2. Decision Support Systems
10.7.3. Data as a Service
10.7.4. Decisions as a Service
10.8. AI in Sports by Region 2019 – 2024
10.8.1. North America
10.8.2. Europe
10.8.3. Asia Pac
10.8.4. Middle East and Africa
10.8.5. Latin America

11. Summary and Recommendations

12. Appendix: AI Technologies and Solutions

For more information about this report visit https://www.researchandmarkets.com/research/sb55hb/ai_in_the_global?w=5

Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.

Media Contact:

Research and Markets
Laura Wood, Senior Manager
press@researchandmarkets.com

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SOURCE Research and Markets

CHAMPAIGN, Ill., March 14, 2019 /PRNewswire/ — Intelinair, Inc., today announced that Pat Arthur has joined its team as Director of Marketing to support the continued sales growth of its automated crop intelligence system, AgMRI. Arthur is responsible for marketing AgMRI to farmers and retailers who are looking to enhance their profitability and efficiency from its whole-farm, full-season, high-resolution crop insight.

“We’ve added Pat to help us accelerate the robust rate of sales growth we have been achieving with AgMRI,” said Al Eisaian, CEO and co-founder of Intelinair. “Farmers are buying AgMRI because it’s providing crop performance insight they can’t get anywhere else, and it’s empowering them to reliably make prioritized farming decisions and boost yields, income, and efficiency. Pat’s depth of experience across the ag industry will help ensure more farmers and retailers understand these benefits.”

Arthur has more than 20 years of experience in ag marketing, communications, sales, and agronomy and has held a variety of management roles in the seed industry, advertising agencies, and ag retail. He joined Intelinair from Corteva, a division of DowDuPont, where he was responsible for marketing of the Pioneer soybean brand.

To learn more about Intelinair, Inc., or AgMRI® visit www.intelinair.com.  

About Intelinair, Inc.

Intelinair, Inc., is leading efforts to bring cutting-edge artificial intelligence and world-class machine learning to agriculture to enhance farming practices and increase productivity, profitability and farming efficiency. The company’s flagship crop intelligence system, AgMRI®, is revolutionizing the way farmers and their trusted advisors manage their acres to the row by delivering measurable, reliable crop intelligence. AgMRI provides near-real-time field conditions via an intuitive app by combining modern agronomy, ultra-high-resolution imagery, proprietary computer vision technology, and best-in-class machine learning. With AgMRI, Intelinair is giving farmers the peace-of-mind to know how their crops are developing across entire farms throughout the growing season so they can confidently make prioritized, proactive management decisions via smart alerts or crop progress trend analysis.  For more information go to www.intelinair.com.

Contact:
Patrick Arthur 
Intelinair, Inc.
515-494-4089
210951@email4pr.com

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SOURCE Intelinair, Inc.

HONG KONG, March 14, 2019 /PRNewswire/ — On March 13th, 2019, CoinAll (www.coinall.com), the famous cryptocurrency exchange, announced the listing of Fetch.AI and will hold a 7-day celebration to give away 350,000 FET tokens. Fetch.AI has gathered a lot of attention of crypto world since their $6 million token sale in 22 seconds on Binance Launchpad.

Fetch.AI is a digital infrastructure provider and data trading platform. The Fetch project is revolutionary with its idea of bringing together machine learning, artificial intelligence, multi-agent systems and decentralized ledger technology to create an economic internet.

Among members of Fetch.AI’s leadership team, many were previously involved in DeepMind, a UK-based company focused on artificial intelligence (AI) that was later acquired by Google in 2014.

Katherine Deng, the CoinAll general manager said that the Fetch.AI project has pioneering technology and forward-looking vision, leading in the synchronous promotion of AI and blockchain. CoinAll is proud to cooperate with Fetch.AI and list FET tokens.

The 7-day FET listing celebration includes an individual depositing competition, individual trading competition, team competition, and invitation competition. Mega prizes are awaiting in each game, and the celebration will last from March 13th, 2019 to March 20th.

Crypto’s world’s eyes are on Fetch.AI because Binance successfully conducted a crowdsale for the Fetch.AI tokens on the Binance Launchpad raising $6 million in 22 seconds. CoinAll, as an emerging exchange star, has also reached an in-depth cooperation with Fetch.AI. In addition to the listing of FET tokens, CoinAll will provide a 350,000 FET giveaway for users.

“Technologies like Fetch.AI are disruptive: they act as disintermediation agents in the economy, break down the barriers between centralized entities and opens access to a world powered by decentralized AI,” Humayun Sheikh, CEO and co-founder of Fetch.AI said in an email response to Forbes.

CoinAll is committed to excavating global projects with high quality and potential, with a particular focus on Fetch.AI, Bitex and other eco-friendly infrastructure builders. As a deep strategic partner of OKEx, the world’s top exchange, CoinAll shares OKEx’s world-leading security system, 24-hour global customer service, and transaction liquidity, and is devoted to bringing better projects and trading experience to their 20 million user community.

For more details, please visit: https://www.coinall.com/activity/voteCoin?activeId=409

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SOURCE CoinAll

MOUNTAIN VIEW, Calif., March 14, 2019 /PRNewswire/ — CUJO AI, a network intelligence company delivering revolutionary AI-driven solutions for major network operators in the industry, today announced that it has joined the RDK Community.

CUJO AI has joined the RDK community to enable its suite of digital network protection applications on the RDK open source platform. Network operators that choose RDK to power their consumer and business broadband gateways will be able to offer their customers additional digital security, parental controls, and privacy protection services from CUJO AI.  

CUJO AI will contribute to the RDK community by participating in software development and implementation of the RDK software stack at network operators worldwide. The company will also contribute open source software to help enhance the services that RDK-enabled network operators can deploy on their networks in a fast and seamless way.

RDK is an open source software platform for the connected home that standardizes core functions used in broadband devices, set-top boxes, and IoT solutions. RDK software resides on the chipsets within the CPE and enables service providers to standardize certain technical functionality. For broadband CPE, RDK provides a common method to manage various functions, such as home-networking and IoT interfaces, device management, diagnostics, and more.

“We look forward to being an active part of the RDK community. Our goal is to protect people’s connected experiences as broadly as possible.  Becoming part of this community is a terrific way to enable broader access to our technology. Together with the RDK open source community, we will manage to bring trust in the connected experience and transform the cybersecurity landscape,” explained Einaras von Gravrock, CEO of CUJO AI.

“CUJO AI is a proven leader in providing AI-driven, network security services for today’s connected homes,” said Steve Heeb, President and General Manager of RDK. “The rise of third-party IoT devices, coupled with service providers’ own smart home services, require new tools to analyze, detect, and address possible threats. As such, we’re delighted to have CUJO AI join the open source RDK community to support our service providers around the globe.”

RDK has been deployed globally on more than 40 million devices. The RDK community is comprised of more than 350 companies including CPE manufacturers, SoC vendors, software developers, system integrators, and service providers.

Recently, CUJO AI has announced covering more than 325M devices. CUJO AI has been chosen by the world’s largest service providers such as Charter Communications, Comcast and other global leaders to help power the digital protection services offered to their customers.

About CUJO AI

Powered by proprietary Artificial Intelligence models and uniquely built on billions of real-world data points, CUJO AI portfolio of products is designed to gain clear insight on how data moves across networks and digitally protect people and devices, creating a safer smart-living experience in homes, businesses, and connected communities.

Network, mobile and public Wi-Fi operators around the world utilize the CUJO AI portfolio of products to provide their customers with a seamlessly integrated suite of value-added services, covering: advanced connected device identification, real-time network security, privacy protection, and content access control.

World Economic Forum has recognized CUJO AI as a Technology Pioneer 2018. By the research company Gartner the company was listed as a “Vendor to Watch” and a “Cool Vendor in IoT security”. CUJO AI has won the Security Solution of the Year award at the 2018 Glotel Awards. More information about CUJO AI can be found at cujo.com

PR contact for CUJO AI
Eve Masiulyte, press@cujo.com; +1 323-284-7216

 

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SOURCE CUJO AI

WASHINGTON, March 14, 2019 /PRNewswire/ — CAQH^® has developed patent-pending artificial intelligence (AI) technology to identify incorrect healthcare provider data and improve the accuracy of directories without contacting the provider. Health plans can use the findings to improve data quality and decide which office locations and other information about a provider to publish in their directories.

While the healthcare industry has long grappled with provider data quality issues, beginning in 2016, the Centers for Medicare and Medicaid Services (CMS) began conducting annual reviews of Medicare Advantage online directories. Plans with high percentages of inaccurate directory data are subject to significant fines. CMS has determined that, in some cases, half of the information in directories may be inaccurate, with office locations being particularly problematic.  

“Until today, the best method to verify information has been to make phone calls to the provider, but that option is costly and ineffective,” said Atul Pathiyal, Senior Vice President, Product and Strategy at CAQH. “Applying our AI gives the industry a better, continuous way to address provider directory accuracy.”

The CAQH AI technology draws on information entered by 1.4 million providers in CAQH ProView^® and integrates a wealth of data from other sources to train its AI model. Using machine learning, CAQH is continually improving the model’s identification of good and bad data.

By avoiding individual provider outreach when verifying basic information, such as whether a provider sees patients at a given office location, health plans can improve directory accuracy while reducing provider abrasion. Based on data gathered to date, CAQH believes that health plans can save up to $91 million annually, just from reducing provider outreach costs across the industry. The total savings due to data improvements are likely much higher.

Improving provider data accuracy, completeness and timeliness is a focus for CAQH, and AI is one example of how the organization uses leading-edge technology to address industry-wide challenges. In the future, CAQH plans to apply more machine learning, advanced analytics and AI technology to score additional data elements that commonly challenge the industry.

About CAQH

CAQH is the leader in creating initiatives to streamline the business of healthcare. Through collaboration and innovation, CAQH accelerates the transformation of business processes, delivering value to providers, patients and health plans. Visit www.caqh.org and follow us on Twitter: @caqh.

 

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SOURCE CAQH

BROOMFIELD, Colo., March 14, 2019 /PRNewswire/ — New research from Webroot, the Smarter Cybersecurity® company, reveals that 71 percent of businesses surveyed in the United States plan to use more artificial intelligence and machine learning (AI/ML) in their cybersecurity tools this year, although over half (58%) aren’t sure what that technology really does.

The global report titled, “Knowledge Gaps: AI and Machine Learning in Cybersecurity,” details that more businesses are leveraging AI/ML tools within cybersecurity, and the perceptions IT professionals have around said tools. Although over one-third (36%) of organizations experienced a damaging cyberattack within the last year, the majority is still extremely confident (83%) they have all the tools they need to successfully defend themselves against criminals using AI/ML-based threats.

While 71 percent of businesses plan to spend more budget on AI/ML tools in 2019, only 49 percent of IT professionals feel extremely comfortable using these tools. This presents a clear disconnect and supports the need for further education, or outsourced support from skilled experts, particularly when 86 percent of IT professionals agree that cybercriminals are also leveraging AI/ML in their attacks.

Explore the Results: Knowledge Gaps: AI and Machine Learning in Cybersecurity

Key Findings from U.S. Respondents:

• 86% believe cybercriminals are using AI/ML to attack organizations
• 76% do not care if their protection uses AI/ML as long as it keeps them safe from cybercriminals
• Yet 70% say it is very important that cybersecurity advertising mention use of AI or ML
• 71% of IT professionals report their business plans to use more AI/ML tools in 2019
• Yet only 49% of IT professionals feel extremely comfortable using AI/ML tools

Key Quote:

Hal Lonas, CTO, Webroot
“AI and ML continue to present a troubling knowledge gap, particularly given the amount of confusing hype in the cybersecurity industry. A company cannot properly defend against advanced AI and ML attacks when less than half of its IT professionals are comfortable using the tools needed to defend against those attacks. To level the playing field, organizations need to partner with vendors that have the historical data and skilled staff required to deliver the highest level of efficacy and automation to their customers. And even though 70 percent of professionals in the survey say it’s very important that vendors mention the use of AI and ML in their advertising, advertisements should be validated by quality data.”

Additional Resources: 

• Global Survey Findings
• Webroot 2019 Threat Report
• Machine Learning eBook

Survey Methodology
Survey respondents were provided by Branded Research Inc., which has an active proprietary global panel of over 2 million respondents. The survey was conducted by LEWIS between November 26 and December 5, 2018, and consisted of an online survey of 37 questions total, requiring approximately 10 minutes. For all survey respondents, LEWIS partners with Imperium to only work with companies who implement their quality control services on their sampling services. Imperium is solely focused on helping companies guarantee data integrity and comply with industry regulations. Survey responses were received from 400 full-time IT professionals at the IT director level and above; 200 of which were from the United States, and 200 from Japan. Respondents represented organizations that had 250 employees or more, and 87 percent were the primary decision makers for cybersecurity tools purchased within their organization. The overall margin of error was 5 percent at a 95 percent confidence interval.

About Webroot
Webroot was the first to harness the cloud and artificial intelligence to protect businesses and individuals against cyber threats. We provide the number one security solution for managed service providers and small businesses, who rely on Webroot for endpoint protection, network protection, and security awareness training. Webroot BrightCloud® Threat Intelligence Services are used by market-leading companies like Cisco, F5 Networks, Citrix, Aruba, Palo Alto Networks, A10 Networks, and more. Leveraging the power of machine learning to protect millions of businesses and individuals, Webroot secures the connected world. Headquartered in Colorado, Webroot operates globally across North America, Europe, and Asia. Discover Smarter Cybersecurity® solutions at webroot.com.

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©2019 Webroot Inc. All rights reserved. Webroot, SecureAnywhere, Webroot SecureAnywhere, Webroot BrightCloud, BrightCloud, and Smarter Cybersecurity are trademarks or registered trademarks of Webroot Inc. in the United States and other countries. All other trademarks are properties of their respective owners. 

 

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SOURCE Webroot