SESSION MODERATORS:
Stuart Dunn, Senior Project Manager, TM Forum
Philip Laidler, Director, Consulting, STL Partners

KEYNOTE: Ways of working and implementing AI to achieve operational excellence 

• Driving operational excellence, customer experience, and profitability with ML (machine learning)
• The challenges with data literacy and data management and how to overcome them 
• Engaging different stakeholders across the organization to become data-driven 
• Overcoming the ‘trust in AI’ issue  

Natali Delić, Chief Strategy and Chief Digital Officer, Telekom Srbija

CASE STUDY: Vodafone IoT: AI-powered service usage anomaly detection

• How to integrate AI/ ML capabilities and enable early and precise detection of potential service-affecting incidents
• Reducing operational effort by improving both proactive monitoring of IoT network services and reactive triaging of service incidents
• Developing self-healing network capabilities and enhancements to the closed-loop automation feedback system
• Using future features to enhance autonomy and align with Vodafone's strategic initiative of "Zero Touch Operations"

Sampada Basarkar, Director of Products and Platform Engineering, Vodafone
Carla Penedo, Director of Offer Development & Innovation, Celfocus

CASE STUDY: AIOps-enabled automation – Making the case for wider adoption   

• Establishing the business case for AIOps is critical for cost reduction and monetizing services 
• Adoption and real-world implementation of AIOps 
• Where can AI be usefully introduced and how? 
• Why new technologies and autonomous networks are major drivers of AIOps 
• Sharing the benefits of automated networks enabled by AIOps 
• What are the challenges of implementing AIOps? 

Adnan Kashwani, Sr. Director / Cloud Center of Excellence, Etisalat, e&