Moderators:
Selma Belhadj Amor, Senior Consultant AI, Altman Solon
Aaron Boasman-Patel, Vice President, AI, Labs & Innovation, TM Forum 

CASE STUDY: AIOps: Developing a practical framework for AI-driven operations 

• Operating an independent process framework to manage the deployment of AI within current and target state architectures 
• Utilizing an agnostic AIOps service management framework for maximum flexibility 
• Lessons learned from applying TM Forum’s AIOps Service Management Framework, Open Digital Framework (ODF) and Open Digital Architecture (ODA) 
• Expectations for the future development of AIOps – where do we go from here? 

Takuya Miyasaka, Senior Manager, KDDI Research

CASE STUDY: China Telecom's wireless autonomous network technology and application

• Coping with the challenges of legacy networks and how AIOps can help to reduce costs 
• Utilizing conversational AI support for automated human interactions and NLP for text-based interactions to reduce customer care costs 
• Demonstrating how improved planning leads to reduced CAPEX, drastically reduced OPEX, and an enhanced NPS score

Qian Bing, R&D Director, China Telecom 

FIRESIDE CHAT: Combining big data and AI in efficient 5G network problem-solving  

• Bringing AI value to every phase of the network lifecycle – from planning and design to smart maintenance and security 
• Responding to the need to make the network more intelligent, agile and predictive 
• Defining the various uses of AI within the network – from operation-focused AI to service-focused AI 
• How digital transformation accelerates service innovation but requires greater automation abilities 
• Utilizing higher levels of automation to handle increasing network complexity and ensure that network resources are utilised more efficiently – what more needs to be done? 

Jinsoo Jang, Team Leader, NW Big Data Engineering Team, LG U+
Marcin Nowak, Senior Solution Manager OSS, Comarch 

ASK THE SPEAKERS: Identifying the risks and mistakes to avoid when scaling up AI operations 

• How can you achieve AI-powered intelligent operations at scale? 
• Overcoming the challenges of distributed data sources, introducing standardized data definitions and proper data management 
• Determining a detailed strategy on how to provide a scalable solution to handle accessing, organizing, curating disparate datasets 
• What skillsets do teams need to scale AI effectively? Highlighting the benefits of establishing a Center of Excellence for AI 

Panelists:

Jinsoo Jang, Team Leader, NW Big Data Engineering Team, LG U+
Marcin Nowak, Senior Solution Manager OSS, Comarch 
Takuya Miyasaka, Senior Manager, KDDI Research
Qian Bing, R&D Director, China Telecom