Tuesday, September 19, 2023 2:00 pm – 3:30 pm
Location: Stage E
Join us at Stage E for an enlightening session moderated by Philip Laidler, Managing Director of Consulting at STL Partners, and John Byrne, Research Vice President of Communications Service Provider Operations and Monetization at IDC.
In this session, we will explore case studies highlighting the ways of working and implementing AI to achieve operational excellence. Learn how ML (machine learning) can drive operational excellence, improve customer experience, and enhance profitability. Discover the challenges associated with data literacy and data management and explore effective strategies to overcome them. Understand the importance of engaging different stakeholders across the organization to foster a data-driven culture. Natali Delić, Chief Strategy and Chief Digital Officer of Telekom Srbija, will share insights on overcoming the “trust in AI” issue.
In another case study, we will delve into Vodafone IoT and its AI-powered service usage anomaly detection. Discover how AI and ML capabilities are integrated to enable early and precise detection of potential service-affecting incidents. Explore how proactive monitoring of IoT network services and reactive incident triaging can be improved, reducing operational effort. Learn about the development of self-healing network capabilities and enhancements to the closed-loop automation feedback system. Sampada Basarkar, Director of Products and Platform Engineering at Vodafone, and Carla Penedo, Director of Offer Development & Innovation at Celfocus, will present this case study.
We will then focus on AIOps-enabled automation and make the case for wider adoption. Explore the criticality of establishing a business case for AIOps to drive cost reduction and monetize services effectively. Gain insights into real-world implementations of AIOps and identify areas where AI can be introduced beneficially. Understand how new technologies and autonomous networks serve as major drivers for AIOps. Discover the benefits of automated networks enabled by AIOps and explore the challenges associated with AIOps implementation. This session aims to help businesses navigate the maze of AIOps and exploit the full potential of AI for growth.
Furthermore, we will address the risks and considerations associated with scaling AIOps. Explore strategies to safely and effectively exploit AI investments. Identify the challenges in bridging the gap between traditional operations and AI software to enable AI-driven operations. Learn how to plan and prepare your AI products and services for success.
Join us at Stage E for this insightful session that explores the power of AI in achieving operational excellence and driving business growth. Add this session to your calendar now and be part of the conversation that propels the industry forward.
