Data is the new oil, and Artificial Intelligence is the way to monetize it. According to an IDC report, Artificial Intelligence (AI), alongside 5G, IoT, and cloud computing, is one of the technologies reshaping the telecom industry. From data-driven decisions to fully automated and self-healing networks, AI developments are accelerating innovation and driving costs of operation down.
However, while it is easier than ever to implement AI solutions in the telecom space, navigating a landscape of multiple databases, workflow engines and ML frameworks remains difficult.
This whitepaper aims to provide a guide of existing use-cases for AI/ML in mobile networks. Download to discover:
- Key questions to consider around core network, radio network, and enterprise IT parts before implementation, by use case
- Recommendations of open source software components for building efficient solutions
- Operation tips for AI in production