Virtual Digital Leadership Summit: Creating Network and Business Resiliency by Design, in the New Reality

Wednesday, July 1, 2020 2:00pm to 4:30pm


This summit will discuss how CSPs can leverage their largest datasets, and the predictive power of artificial intelligence (AI) and machine learning (ML), to design-in greater resilience to their network and business.

Black swan events like the current pandemic reinforce the necessity of strong resiliency, and we’ll show examples of how CSPs are combining multiple sources of big data to dynamically assign resources, respond to changes, and handle major network planning and improvement projects like 5G.

We will also show how improving the business resilience directly impacts other critical facets of the business, including customer churn, and business assurance.

This is an invite-only event. If interested in attending, please email [email protected] 

Sponsored by:


14:00 – 14:05 | Welcome and Introductions
        Aaron Boasman-Patel, VP, AI, Customer Experience & Data, TM Forum

14:05 – 14:20 | The big picture: The state of resiliency and the role of data

  • What is the definition and measure of network and business resiliency? What is the state of research in this area? How do black swan events reinforce the need?
  • What types of data do CSPs have that give them insight into that resilience?
  • Why have scale and performance become the critical bottleneck to improving resilience?
  • What role does predictive analytics play, and more specifically what is the business value that AI/ML brings?
  • Assessing the resilience of your networks: survey results

    Aaron Boasman-Patel, VP, AI, Customer Experience & Data, TM Forum

14:20 – 14:40 | A Voyage of discovery: What is possible with 100x faster data exploration

  • What is needed to remove the scale and performance bottlenecks, and design for resiliency?
  • What are the data science workflows and ML tools that unlock the value of predictive analytics?
  • DEMO: HK Network case
  • How do CSPs get started? What does a typical implementation plan look like?

    Todd Mostak, CEO, OmniSci

14:40 – 15:00 | Customer Case Study: The keys to a successful data transformation

  • What data did you have and where was it? What data did you need to collect and how did you do it? What did you do to make all of the data usable?
  • What were the goals of the project? How did you measure success? What personas were targeted to see the value?
  • What needed to change? What alternatives did you explore, and why did you choose this model?
  • DEMO of the result
  • What’s next?
  • Q&A

    Tom Camp, Principal, Verizon Ventures

15:00 – 15:10 | Demo: 5G Network Optimization

  • How to maximize customer LTV with an accelerated 5G radio frequency (RF) mapping approach optimizing antenna siting and configuration.

    Dr. Michael Flaxman, Spatial Data Science Practice Lead, OmniSci

15:10 – 15:50 | Panel Discussion: Talking with data-driven business leaders

       Aaron Boasman-Patel, VP, AI, Customer Experience & Data, TM Forum

      Herfini Haryono, Vice President of Industry Verticals, OmniSci

      Jared Ritter, Senior Director, Analytics & Automation, Charter Communications

      Sandeep Mishra, CEO, Sinarmas Cognitive and Big Data

      Raghu Velega, VP Bigdata and Analytics, Reliance Jio

      Abhay Charan N, Technology Innovation Leader, Reliance Jio

15:50 – 16:00 | Demo: Charter Communications’ Data Transformation

     Jared Ritter, Senior Director, Analytics & Automation, Charter Communications

16:00 – 16:15 | Partner Perspective

Dr. Gadi Solotorevsky, Chief Evangelist – cVidya, Amdocs

16:15 – 16:25 | Demo: AI Driven Business Assurance for 5G (TM Forum Catalyst Demo)

  • How to use AI to assure 5G services, including 5G slicing, perform as planned with API-based use cases including customer experience, churn-management and fraud-management.

    Eric Kontargyris, Principal Solutions Consultant, OmniSci

16:25 – 16:30 | Closing: What to do today to get started

      Aaron Boasman-Patel, VP, AI, Customer Experience & Data, TM Forum