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Automate Your Mobile Network Monitoring With Machine Learning
Date / Time: Tuesday, February 12, 2019, 12:00 p.m London / 7:00 a.m New York
Overview:
 
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Speakers
James Crawshaw, Senior Analyst, Heavy Reading

Dariusz Pietrzak, Product Manager, BWTech

In modern mobile networks, engineers are overwhelmed by a data tsunami that will only get worse as we move into a 5G world. New solutions are required that can enhance operators' ability to analyze network data through the use of machine learning techniques that are capable of automatically identifying network performance issues and suggesting possible remedies. By effectively and automatically analyzing the performance data, configuration parameters and alarm data, engineers will be able to detect network anomalies that current tools cannot. Engineers will gain a much deeper insight into the intrinsic problems that may cause network service issues, enabling them to take proactive measures to prevent these problems from impacting quality of service.

Join this webinar to ask BWTech experts about your own issues and to learn how machine learning can:

  • Generate actionable insights for mobile network optimization.
  • Identify complex network issues that cannot be detected with traditional, rule-based approaches.
  • Enable automatic anomaly detection and early warning on abnormal clusters.
  • Derive smart correlations between parameter settings and network performance, pinpointing patterns and issues that were previously unknown.
  • Automate impact detection, based on changes in network performance, thereby providing instant feedback on optimization activities.



 

James Crawshaw, Senior Analyst – Service Provider IT and Automation, Heavy Reading
James leads Heavy Reading's OSS/BSS research service. He examines the breadth of software used by communications service providers in customer, business, service and infrastructure management. James's areas of focus include BSS, OSS, SDP, policy management, revenue assurance, service assurance, analytics and business intelligence. He is particularly interested in the impact of SDN and NFV on operator's IT systems.

Prior to joining Heavy Reading, James worked for more than 15 years as an analyst covering technology and telecom companies for various investment banks and industry research firms. He previously worked as a management consultant in industry.

James holds a BSc and MEng in Electrical and Mechanical Engineering from the University of Manchester, England.

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Dariusz Pietrzak, Product Manager, BWTech
Born in 1971 in Poland; degree in Electronic Engineering at Technical University of Gdansk; over 20 years of experience in RAN optimization for all main technologies - working for Nokia and multiple operators in Europe, Middle East and Latin America;skilled trainer capable of transferring knowledge to others; involved in developing of multiple Performance Management tools; deeply interested in 3GPP protocols and standards; working for Bwtech Brazil, member of the R&D Team, responsible for developing algorithms for geolocation solutions and for automated optimization based on artificial intelligence; happy Python programmer solving telecom challenges with machine learning algorithms.

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Brian Tokuyoshi, Sr. Product Marketing Manager, Palo Alto Networks
Brian is a Senior Product Marketing Manager for Palo Alto Networks, where he covers protections for mobile workforces and preventing credential-based attacks. He holds a Bachelor’s degree in Computer Engineering and is currently attending The Wharton School at the University of Pennsylvania.

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