AI in Telecom Industry

8.30 am to 12.10 pm CT,
30 November 2021

Telecom leverages AI/ML to

improve client experience to predictive maintenance to enhancing network reliability

Virtual assistants and chatbots are

two use-cases of AI in Telecom

Providers have witnessed 68% improvement in

client satisfaction upon chatbot introduction

AI assists in identifying and proactively

responding to issues in addition to propose the right service

AI can spearhead

improved product and service development

AI can facilitate

next-level client satisfaction

The biggest telecoms on the planet are dependent on AI and machine learning

AI helps telecom providers stay one step ahead in the game

AI is revolutionizing the technological landscape, particularly telecom

ML-driven and AI-driven technologies can identify deviations from desired patterns

Technologies such as KA (Knowledge Accumulation) will assist in the provision of better client service

AI and ML-driven enhancement will create a paradigm shift in business processes

AI helps telecom companies stay agile and on their feet in response to an evolving business landscape

AI-driven networks can self-analyse and self-optimize

Amazing Partners & Sponsors

Agenda

30 November 2021 (8.30 am to 12.10 pm CT)
08:30 am
Aganda 1

Introduction of Speakers

–By Nitin Naveen, VP-Innovation Strategy, AICorespot

 

08:40 am
Aganda 2

Beyond the Chatbot:  Ten Other Uses for AI in the Contact Center

–By  Thomas Smith, Director, AI Product Management, Avaya
​

+
  • Organizations are increasingly investing in AI for the contact center; but are they getting the optimal benefits?
  • When most people think of AI in the contact center, they automatically think of chatbots.Indeed, based on 2020 estimated spending, IDC says that Automated Customer Service Agents represent the top investment area for AI; but AI has so much more to offer
  • There are four primary categories of AI CX applications:
    1. Self-service (including collection of data prior to human engagement)
    2. Proactive engagement: determining when and how to initiate outbound CX interactions
    3. Agent augmentation: providing agents (and their supervisors) with tools to help them resolve customer inquiries
    4. Routing: getting customers to the right human or automated resource to resolve their needs
  • Additionally, AI can be used in the contact center to improve efficiency and security, manage the workforce, support multilingual customer bases, and more.

 

09:00 am
Aganda 4

Network Automation Key For Successful Digital Transformation

By Amir Elbaz, CEO, BeyondEdge
​

+
The BeyondEdge SD-LAN radically improves the current models of designing, deploying, and operating Local Area Networks (LANs).  Our virtualized software solution is unique in that it is totally agnostic to and abstracted from the underlying LAN hardware and technology.  This enables the solution to extend the key principles and benefits of software-defined networking to both greenfield deployments and existing multi-vendor, legacy switching estates. The advantage of a BeyondEdge SD-LAN is that it can be used to build a next-generation software defined network overlay across your existing network LAN hardware and software to not only provide tremendous gains from an operational management perspective, but also help to better secure the LAN from self-replicating malware attacks targeted at the network and recover from such attacks when they occur.

 

09:20 am
Aganda 4

How Artificial Intelligence is Transforming the Telecom Industry

By Nikunj Nirmal, Principal – Technology Solutions and Strategic Programs, Amazon
​

+
Explore the way AI is employed in Telecom industry and the potential it has to transform the industry.

 

09:40 am
Aganda 6

Future of AI in Telecom Space 

Panel Discussion
– Chithrai S Mani, CTIO, Infovision (Moderator)
– Shashi Kiran, Chief Marketing and Product Officer, Aryaka Networks
– Doug Turpin, President & CEO, Lightwave Solutions
– Mustafa Ergen, President & Founder of Ambeent Inc

 

10:40 am
Aganda 8

SD-WAN – Artificial intelligence and Machine learning algorithms to dynamically optimize SD-WAN traffic

– Ken Mofford, Enterprise Executive at Comcast
– Allan Langfield, Executive Director, Product Management
– Yulia Duryea, Director, Product Management / SDN & SD-WAN​​​
+
As employers and their IT departments extend office infrastructure to remote locations, they increasingly rely on technologies like SD-WAN to manage the prioritization, quality of experience and security of application traffic. At the same time, businesses are grappling with how to effectively route the increased traffic on their networks. In the past, IT managers had to manually tag digital content (i.e. videos and emails) to ensure proper prioritization; implementing numerous static rules to direct the right traffic over the right path. In this session you will learn out AI technology has progressed to dynamically optimize SD-WAN traffic based on application priority and the real-time status of the network connections. .

 

11:20 am
Aganda 6

AI in Network Optimization

By Gayatri Sirure, Director of Engineering, Verveba Telecom
​​

+
With the world moving towards ultra-connectivity, network deployment efforts are on rise globally. At Verveba Telecom, we focus on bringing efficiency in network deployment programs with our solutions. This session covers AI basics and applications of AI in network deployment programs.

 

11:40 am
Aganda 6

Automating Network Operations with Artificial Intelligence

By David Cote, Chief Data Scientist, Ciena ​

+
Telecommunications networks rely on a complex mix of multi-vendor equipment and multi-layer protocols. To keep this critical infrastructure up and running, Network Operations Centers (NOC) rely on specialized support teams organized by technology domains. This mode of operations works but gets incrementally expensive and inefficient as networks become larger and more complex. We will present concrete Machine Learning applications that capture the collective NOC intelligence and help automating tasks ranging from anomaly detection and diagnosis to remediation actions. Hence making NOC operations more effective and more scalable.

 

12:00 pm
Aganda 1

Thank you note and conclusion of event

-By Nitin Naveen, VP-Innovation Strategy, AICorespot