WeDo Technologies Named a Sample Vendor in Gartner Hype Cycle for Data Science and Machine Learning, 2019
LISBON, Portugal, Oct. 31, 2019 /PRNewswire/ -- WeDo Technologies, now part of the Mobileum group, has been named a Sample Vendor in Gartner's Hype Cycle for Data Science and Machine Learning, 2019. According to the report, "data and analytics leaders should use this Hype Cycle to understand key trends and innovations, including those related to improving expert and citizen data scientist productivity, implementing new algorithms for cutting-edge use cases, and scaling and operationalizing data science projects."
In the Hype Cycle for Data Science and Machine Learning 2019[1] (available to Gartner subscribers), Gartner states, "much of advanced anomaly detection is a competitive advantage today, but we expect most of the current technology driving it will be widespread and even taken for granted within 10 years because of its broad applicability and benefits."
Gartner recently estimated "by 2022, new implementations of ML within CSP fraud management will reduce fraud losses by 10%."[2]
According to Gartner, "advanced anomaly detection is well-established in certain applications, such as cybersecurity, fraud detection for payment cards, financial market surveillance, and control systems and health monitoring systems for physical assets such as machines, vehicles and power plants. Its use is increasing in applications as diverse as enterprise security, unified monitoring and log analysis, application and network performance monitoring, business activity monitoring (including business process monitoring), Internet of Things predictive equipment maintenance, supply chain management, and corporate performance." Further, "they can: detect subtle anomalies that might otherwise escape notice and provide earlier warnings of impending problems." Gartner provides the following user advice, "risk managers, IT infrastructure and operations managers, manufacturing engineers, business operations and supply chain managers, healthcare professionals, public safety managers, customer experience and relationship managers and anyone else who uses monitoring or testing systems should make anomaly detection capabilities (both traditional and advanced) a major part of the selection process for the tools they will use."
"As we enter a new phase of digital transformation and connectedness, the volume of data processed and the relations between entities will become more complex, making it increasingly difficult for companies to extract meaningful insights. Companies need advanced machine learning, AI and automation capabilities to help them detect risks and extract operational insights faster. We believe investing in these capabilities has ensured that WeDo remains at the forefront of Machine Learning development," commented Bernardo Lucas, Chief Marketing Officer for WeDo Technologies, a Mobileum company.
WeDo Technologies' risk management solutions, spanning fraud management, revenue assurance, and business assurance, provide a comprehensive set of tools to support companies as they embark on their digital transformation. In addition to providing machine learning and AI capabilities, RAID Risk Management platform is an on-premise / cloud-based platform that provides unrivaled scalability and flexibility.
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Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be constructed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
About WeDo Technologies - a Mobileum Company
WeDo Technologies, founded in 2001, is part of the Mobileum group, a leading enterprise software, and analytics company in roaming, security, fraud, and risk management serving more than 700 telecommunication providers in more than 180 countries.
Mobileum delivers analytics solutions that generate and protect revenue, reduce direct and indirect costs, and accelerate digital transformation for Communication Service Providers (CSP). Mobileum focuses on key CSP domains, including roaming and interconnect, counter fraud and security, revenue assurance, data monetization, and digital transformation. Mobileum's success is built on its unique Active Intelligence platform, which logically combines analytics, engagement, and action technology, with deep network insights and easy CSP system integration to deliver seamless end-to-end solutions. In a recent independent third-party survey of global mobile operators, Mobileum was voted as #1 in Innovation for a group of 183 suppliers.
WeDo Technologies' innovative risk management solutions analyze large quantities of data, enabling monitoring and control of enterprise-wide processes to ensure revenue protection and risk mitigation. In addition, its data insights empower business management solutions that accelerate automation and optimization across the digital enterprise and enable efficient business processes such as incentive compensation, collections, and wholesale roaming management.
Know more at www.wedotechnologies.com and www.mobileum.com, and follow @MobileumInc on Twitter.
Mobileum is based in California's Silicon Valley, with offices in Argentina, Brazil, Egypt, Hong Kong, India, Jordan, Portugal, Malaysia, Mexico, Singapore, United Arab Emirates, United Kingdom, and Uruguay.
Sources (available to Gartner subscribers):
[1] Gartner, Hype Cycle Data Science and Machine Learning, 2019, Shubhangi Vashisth, et al, 06 August 2019.
[2] Gartner, Market Trends: Maximizing the Value of Analytics, Artificial Intelligence and Automation in CSP Fraud Management, Charlotte Patrick, et al, 21 December 2018.
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Contacts:
QUEXOR GROUP INC.
Barbara Henris
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Mob.: +1-(703)-470-9446
Public Relations and Corporate Communications - WeDo Technologies
Sara Machado
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Product Marketing and Analyst Relations - WeDo Technologies
Carlos Marques
Carlos.Marques@wedotechnologies.com
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