Mastering the adoption of AI - from proof of concept to deployments at scale

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Presented by

Adaora Okeleke, Principal Analyst, Analysys Mason, Fatih E. Nar, Distinguished Architect, Red Hat

About this talk

Red Hat Distinguished Telco Architect Fatih E. Nar joins Analysys Mason Principal Analyst Adaora Okeleke and panelists from Three UK, Spirent Communications and KORE Wireless to discuss the realities of implementing AI in telco production. TOPICS: Current key operational hurdles for telcos and risk mitigation How do you operationalize AI and scale it in a multi-cloud environment? What are the blueprints for strategic and practical implementation of AI? Testing, verification and integration best practice for AI in legacy and hybrid networks The critical role of automation for laying the foundations to AI applications What to choose? In-house AI solutions versus turn key or plug and play solutions Tackling AI bias and ensuring trust in AI The importance of your data - correlation, quality and accuracy Lifecycle management considerations The human factor in AI - the change in culture and workforce skill sets required What are the key use cases implemented by telecom pioneers to date? What are Tier 2 and tier 3 operator strategies regarding automation and AI?
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Smart cities. Connected vehicles. Autonomous manufacturing and agriculture. Modern cloud-native technologies are redefining the capabilities of telecommunications networks from the core to the edge. Service providers are using open source advancements (particularly in AI, 5G and hybrid cloud) and a mature and growing partner ecosystem to remake themselves and the industries around them.