Artificial Intelligence, Machine Learning and Deep Learning
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Machine Learning types
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Supervised learning - Classification
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Transitioning to machine learning based systems
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Anomaly Detection
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Network Performance Monitoring
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Impact of the outage
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Artificial Intelligence for Satellite Communication
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Challenges of Satellite Communication
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Ionospheric Scintillation Detection
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BTS Power Saving Algorithm
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Summary and conclusions
Description:
Explore the impact of Artificial Intelligence in the telecommunications sector through this insightful conference talk from code::dive 2022. Delve into the evolution of mobile communications, the challenges faced by the telco industry, and the transformative potential of AI. Learn about various machine learning types, including supervised learning and classification, and discover how AI is being applied to solve critical issues such as anomaly detection, network performance monitoring, and satellite communication challenges. Gain valuable insights into innovative applications like BTS power-saving algorithms and ionospheric scintillation detection. Presented by Remigiusz Marciniak, a passionate software engineer at Nokia with expertise in Big Data Analytics and Medical Informatics, this talk offers a comprehensive overview of AI's role in shaping the future of telecommunications.
Analysis of Artificial Intelligence in the Telco Sector