
Service providers are spending billions of dollars a year dealing with network outages, service degradation and growing security threats. The increase in network traffic is a key factor resulting in these challenges. Consequently, automation is considered critical to enabling service providers to address operations and management issues resulting from this traffic increase. The traditional rules-based approach to implementing automation will not be sufficient to support the level of activity needed to control, manage and secure the network. In order to automate operations, additional variables and metrics will need to be assessed to proactively detect when events of interest occur, analyze them, identify and execute appropriate responses.
To address these challenges, service providers are turning to advanced analytics techniques that are flexible, adaptive, and intelligent. In this webinar we will discuss how machine learning (ML)-based analytics, as an advanced analytics function, can enhance service providers' automation objectives with capabilities to detect and resolve network issues, plan network growth, optimize network performance, prevent security threats, reclaim revenue leakage, and more
Key topics include:
- Value proposition on the role of ML-based analytics and automation in addressing the operator's business challenges
- Data modeling complexity today, and where is it going
- Use cases where ML can be deployed to address network operations, fraud challenges, and to detect correlations between problem areas and underlying protocols and network functions
- Highlight strategies that operators must adopt to successfully implement ML-based analytics to automate their networks

Adaora Okeleke is a senior analyst in Omdia's Telecoms Operations and IT team. She specializes in big data and analytics, customer experience management, customer relationship management, and vendor services.
Adaora's research helps telecoms service operators and telecoms software providers make better informed decisions on the critical business issues that affect their companies.
She provided key market information for the 2015 Decision Matrix on customer analytics tools used by telcos. The report assessed the key players in the customer analytics market for telecoms and proved to be invaluable to companies working in the telecoms industry.
Before joining Omdia, Adaora worked for software company Socketworks Nigeria Ltd. and the Nigerian subsidiary of Motorola Inc.
Chip heads up Ribbon’s Data Analytics Practice, which is responsible for deliver analytics solutions that leverage big data, machine learning and network technologies for fixed and mobile providers, large enterprises and small/medium businesses. Prior to Ribbon, Chip was a co-founder at Anova Data which was acquired by Ribbon, splitting his time between driving the company’s technical strategy and guiding customers to a successful analytics RoI.
close this windowPrasanna Vijayakumar works as a Senior Manager Solutions Marketing for Analytics portfolio at Ribbon Communications, a leading provider of secure and intelligent cloud communications solutions. Prasanna has over 13 years of experience in solutions marketing and product management roles, working for leading communications solution providers and vendors across the world. At Ribbon Communications, Prasanna is responsible for product marketing, sales enablement strategies and market development for Ribbon’s analytics, mobile & fixed solutions, and services & support portfolio. Prior to Ribbon Communications, Prasanna held product management and account management roles across South Asia and Asia Pacific region, working in IMS, IP Telephony, SBC and UC focused technology domains.
close this windowDavid is an experienced professional in the telecommunications industry with extensive knowledge gained from across all infrastructure technologies inducing: SDH, Wireless Access, Fixed Access, IP/MPLS, Carrier Ethernet, Optical Technologies and Network Management. He has held roles ranging from Systems Engineering, Product Strategy and Product Management through to Solutions Marketing, Customer Marketing and Product Marketing. David brings this proven combination of marketing, technology and product strategy expertise to his current role.
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