Exploring the Benefits of Network Intelligence Applications to Optimize HFC Networks Using a Data-Driven Design Approach
By Diana Linton, Charter Communications; Esteban Sandino, Charter Communications; Nader Foroughi, Technetix Inc.; Keith Auzenne, Charter Communications; Premton Bogaj, Technetix Inc.
|
2023 |
Using AI to Improve the Customer Experience: A Virtual Assistant Chatbot
By Bernard Burg, Fan Liu, Abel Villca Roque, Sunil Srinivasa, Ryan March & Tianwen Chen, Comcast
|
2018 |
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 |
DOCSIS 3.1 Overdrive: Dynamic Optimization Using A Programmable Physical Layer
By Saifur Rahman and Joe Solomon,
Comcast, Jason Schnizter and Dr. David Early,
Applied Broadband
|
2016 |
Can Future Networks Survive Without Artificial Intelligence?
By Dr. Claudio Righetti, Emilia Gibellini, Carlos Germán Carreño Romano & Gabriel Carro; Telecom Argentina S.A.
|
2019 |
The Dennis Botman Story: A Tale of Next-Level Chatops
By Michael Winslow, Ryan Emerle & Mia Kuang, Comcast Corporation
|
2021 |
Adaptive Power Management for Node Clusters
By Fernando X. Villarruel, Michael Mobley & Curt Dalton, Cisco Systems, Inc.; Lamar West, Ph.D., LEW Consulting, LLC
|
2018 |
Using Automated Live QC to Reduce Construction Costs and Improve Readiness
By Scott Johnston, Comcast; Anthony Curran, Comcast; Michael O’Dell, Comcast
|
2023 |
Having the Whole Company in a Bag: Mediacom’s Real-World Use of Automated Access Network Design and Optimization Technology
By Bill Wegener & Mike Oja, Mediacom Communications Corporation; Ian Oliver, Versant Solutions Group Inc.
|
2021 |
From Manual to Automated: AI-Driven Network Engineering and Operations
By Nader Foroughi, Technetix Inc.; Chris Beem, Technetix Inc.; Diego Royo Moros, Technetix Inc.
|
2023 |
Reducing the Tradeoff Between Performance and Management Using Container and Cloud-Native Approaches
By Karthik Krishna & Jambi Ganbar, VMware
|
2020 |
Multi Layered Unsupervised Machine Learning for Detection of Real Time Network Service Impairment
By Eric Frishman, Comcast; Devangna Kaushish, Comcast; Russell Harlin, Comcast; Aditya Vallabhajosyula, Comcast; Eswaramoorthy Subramaniam, Comcast
|
2023 |
Using AI in Network Planning and Operations Forecasting
By Petar Djukic & Maryam Amiri, Ciena Canada
|
2021 |
Delivering Cloud-Native Operations with Edge Compute Enabled DAA: Implementing a Kubernetes Distributed Edge
By Marco Naveda, Dmitri Fedorov & Raghu Ranganathan, Ciena
|
2020 |
Fungible Virtualization Stacks: Refocusing on Optimization of Underlying Resources
By Keith Alan Rothschild & Guy Meador III, Cox Communications; Brian Kahn, Sea Street Technologies
|
2017 |
Distributed Resource Management For On Demand Services
By Bruce Thompson,Cisco Systems Inc
|
2004 |
Hitting the Target: Measuring the Success of Online Learning
By Matthew Gress, Charter Communications; Sara Williamson, Charter Communications; Abbie O’Dell, Charter Communications
|
2023 |
A Proposed End-to-End SDN Architecture for MSO
By Mohcene Mezhoudi, Benjamin Y. Tang, Jean-Philippe Joseph & Enrique Hernandez-Valencia, Bell Labs Consulting
|
2017 |
Enforcing Social Distancing Using Computer Vision and Deep Learning
By Wael Guibene & Hossam Hmimy, Charter Communications
|
2020 |
Virtualization and Edge Compute Evolution in Cable
By Andrii Vladyka & Asaf Matatyaou, Harmonic Inc.
|
2020 |
