Platform Approach for SDN Predictive Management Using AI and ML
![Platform Approach for SDN Predictive Management Using AI and ML](/2018/images/all/lf_huffc03acb4b89c823f315cae16e4b2e6b_29065_900x500_fit_q75_box.jpg)
AI and ML are the latest hot buzz words not only from the top technology companies but also from businesses large or small around the world. AT&T has promoted the cause of AI/ML over the last 20 years …
Talk Title | Platform Approach for SDN Predictive Management Using AI and ML |
Speakers | David Lu (Vice President, SDN Platform & Systems, AT&T), George Sultana (Assistant Vice President, AT&T) |
Conference | Open Networking Summit North America |
Conf Tag | |
Location | Los Angeles, CA, USA |
Date | Mar 26-30, 2018 |
URL | Talk Page |
Slides | Talk Slides |
Video | |
AI and ML are the latest hot buzz words not only from the top technology companies but also from businesses large or small around the world. AT&T has promoted the cause of AI/ML over the last 20 years in predictive network management. AT&T is upping its game in AI/ML analytics by partnering with the industry and open source communities with new AI/ML platforms like ACUMOS, as well as by using ONAP as a platform to provide a framework for easy integration. We recognized early on that one of the challenges in applying new ML is the conflict of aggressive prediction from AI/ML vs. network reliability. AT&T has implemented a “sandbox” to enable experts in operation to trial AI/ML rules with real time production data in an experimental environment first, then deploy them into production without code changes. This talk will describe the strategy and implementation with a quick video demo.