Podcast: AI & ML in Networks Ops & Security

by Gary Audin

Security and analytics solutions address two major challenges. The first is how to address network-wide security across a diverse set of devices and applications. The walled garden era is over and solutions need to be applicable to any network configuration. The second challenge is centered on making a solution that is effective and in line with today – and tomorrow’s -- network designs.

Kevin Riley, CTO and EVP of Advanced R&D at Ribbon Communications www.ribboncommunications.com and Gary Audin recorded this podcast at the Ribbon Perspectives19 conference.  Kevin provides a tutorial that helps the listener understand analytics, artificial intelligence, and machine learning. He discusses developing new insights into network operations and security. Ribbon has a global view of the many networks collecting and processing information from:

• Device behavior
• User behavior
• Call flow patterns

All of which, when properly modeled, can tell network operators about normal and flag abnormal conditions on the network far more than a single enterprise’s network operation. He continues by providing what network managers have done once they have been given new insights into security and network operations.

Ribbon Communications Inc. www.ribboncommunications.com  delivers market-leading software solutions that secure and power many of the world's leading service provider and enterprise communications environments. Built on world-class technology and intellectual property, the company's cloud-native solutions deliver intelligent and secure real-time communications solutions for the cloud, network, and enterprise edge. Ribbon's Kandy Cloud real-time communications software platform delivers advanced and embedded CPaaS and UCaaS capabilities enabling service providers to rapidly create and deploy high-value communications services.

https://media.blubrry.com/telecomresellerpodcast/content.blubrry.com/telecomresellerpodcast/AI_ML_Edited_May_2019.mp3