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The MLOps Live Webinar Series

Session #40

Save My Seat

Tuesday September 30th- 9am PDT/ 6pm CET

Accelerating and Scaling AI Deployments Across Hybrid Environments

With over 47 million users, Safaricom is one of the most successful mobile operators in East and Central Africa. They are also a major player in the financial services and mobile banking space and an AI-mature organization with predictive modeling capabilities and hyper-personalized financial services.

The Safaricom team faced significant operational challenges that were delaying their deployments, limiting their ability to scale and leverage their datasets for real-time use cases.

Join this webinar to hear directly from Safaricom about how they enhanced their time to value and accelerated the business impact of their already sophisticated AI capabilities. They will share how they:

  • Accelerated deployment cycles, consolidated processes and integrated datasets
  • Decoupled workloads from the underlying infrastructure with a modern AI platform.
  • Migrated 16 mature use cases from on-premises to AWS cloud in a single day.

Can’t attend the live webinar? Register to receive the recording and watch it at your convenience.
Presented By
Hillary Murefu Wangila

 Head of AI, Safaricom 

Anthony Nyaga Irungu

 Lead Machine Learning Engineer, Safaricom 

Salesh Bhat

Principal Architect at QuantumBlack, AI by McKinsey