Right Technician at the Right Time: Using Machine Learning to Predict Network Maintenance Issues
By Anastasia Vishnyakova, Rama Mahajanam, Mike O’Dell, May Merkle-Tan, Catherine Hay & Lisa Pham, Comcast Cable
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2021 |
Edge Computing Architecture
By Umamaheswar (Achari) Kakinada, Deh-Min Richard Wu, Curt Wong & Yildirim Sahin, Charter Communications, Inc
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2021 |
Network Planning Automation Using Big Data
By Ted Boone, Jignesh Patel, Rob Ames, Kyle Cooper & Chaitanya Vasamsetty, Cox Communications, Inc.
|
2018 |
Monitoring and Troubleshooting at Scale with Advanced Analytics
By Nitin Kumar, Amir Leventer & Asaf Matatyaou, Harmonic, Inc
|
2021 |
Capitalizing on the Evolved Communications Experience
By Kjell Johansson, Ericsson Inc
|
2019 |
Machine Learning and Proactive Network Maintenance: Transforming Today's Plant Operations
By Brady Volpe, The VolpeFirm and NimbleThis; Berk Ottlik, NimbleThis LLC
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2021 |
Augmented Intelligence: Next Level Network and Services Intelligence
By Dr. Claudio Righetti, Mariela Fiorenzo, Omar Hurtado & Gabriel Carro, Telecom Argentina S.A.
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2020 |
Machine Learning Techniques for Equalizing Nonlinear Distortion
By Rob Thompson, Comcast; Xiaohua Li, State University of New York at Binghamton
|
2020 |
Network in A Box with Open Source EPC/HSS and Zero Touch Control
By Joerg Ahrweiler, Hany Heikal & Hossam Hmimy, Charter Communications
|
2021 |
From Support Calls to Insights - Using Automatic Speech Recognition and Natural Language Processing to Drive Product Roadmaps
By Jing Qing, Veronica Bloom, Michael Addonisio, Christy Gearheart; Charter Communications
|
2022 |
A Machine Learning Pipeline for D3.1 Profile Management
By Maher Harb, Jude Ferreira, Dan Rice, Bryan Santangelo & Rick Spanbauer, Comcast
|
2019 |
Implement Closed-Loop Network Decisioning Now with Big Data Analytics and Fuel Future-State SDN Use Cases Through a Common Platform Deployment
By Brennen Lynch and Anukool Lakhina, Guavus, Inc.
|
2014 |
A PNM System Using Artificial Intelligence, HFC Network Impairment, Atmospheric and Weather Data to Predict HFC Network Degradation and Avert Customer Impact
By Larry Wolcott, Michael O'Dell, Peter Kuykendall, Vishnu Gopal, Jason Woodrich & Nick Pinckernell, Comcast
|
2018 |
Machine Learning Model for Customer Claim Prediction in HFC Subscribers
By Dr. Claudio Righetti, Telecom Argentina S.A.; Matilde Cuenca, Telecom Argentina S.A.; Dr. Diego Martinez Heimann, Telecom Argentina S.A.
|
2023 |
Scaling DAA: Smart, Continuous Network Health Monitoring for vCMTS with Machine Learning
By Ilana Weinstein, Comcast; Ramya Narayanaswamy, Comcast; Aaron Tomkins, Comcast; Nivedhitha Sridhar, Comcast
|
2023 |
Machine Learning and Telemetry Improves Outside Plant Power Resiliency for More Reliable Networks
By Stephanie Ohnmacht, Matthew Stehman; Comcast
|
2022 |
Using Cable TV's Hybrid Fiber Coax (HFC) Infrastructure for Data Communications
By Rouzbeh Yassini, LANcity Corporation
|
1995 |
Offloading Data Using Unlicensed LTE
By Loay Kreishan, Charter Communications
|
2019 |
Operationalizing Streaming Telemetry and Machine Learning Model Serving: Customer Experience Automation
By Nick Pinckernell & Scott Rome, Comcast
|
2020 |
AI for IT Operations (AIOps) - Using AI/ML for Improving IT Operations
By Hongcheng Wang, Applied AI & Discovery, Comcast; Praveen Manoharan, Applied AI & Discovery, Comcast; Nilesh Nayan, Applied AI & Discovery, Comcast; Aravindakumar Venugopalan, Applied AI & Discovery, Comcast; Abhijeet Mulye, Applied AI & Discovery, Comcast; Tianwen Chen, Applied AI & Discovery, Comcast; Mateja Putic, Applied AI & Discovery, Comcast
|
2022 |
