Telecommunications
As COVID-19 has forced society to prioritize telecommuting and embrace digital automation, the telco market has been significantly upended. This new paradigm has opened up opportunities for early adopters, but created massive churn risk for laggards. AI represents new opportunities for data-driven telcos to grow market share, offer new services, operate networks more efficiently, and further reduce cost per megabyte.
AI in Telecommunications
No other industry has as much data as telecommunications. DataRobot provides telcos with unrivaled power to plan and manage networks more efficiently, as well as better understand customer behavior and run finance more effectively.
Network Operations
- Energy management for base stations
- RAN Upgrade planning
- Capacity forecasting
- Radio hole coverage
Marketing and Sales
- End-to-end personalization
- Optimization and NBO
- Pricing and customer management
- Customer lifetime value
- Product bundling and new product development
B2B and New Business Models
- Data partnership and monetization
- Advanced advertising
- Credit risk rating
- Micro financing
AI Use Cases in Telecommunications
With rapidly changing market conditions, telcos are faced with many new challenges, such as the massive volume of predictive models needed and the frequency at which they must be updated. Add in the increasing complexity of the production environment, top-performing telcos are turning to automated machine learning to force multiply efficiency without compromising accuracy.
DataRobot Can Help You With:
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“DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.”
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“The generative AI space is changing so fast but the flexibility, speed, and interoperability of DataRobot is helping us stay on the cutting edge. And, DataRobot’s team of GenAI experts have been true partners on our journey, helping us navigate the real concerns to apply generative AI in meaningful and safe ways.”
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“DataRobot provides us with innovative ways to test new ideas. Given a problem and a dataset, DataRobot allows us to generate multiple prototypes 20% faster. And the process facilitates the learning evolution of our data scientists.” -
“The value of having a single platform that pulls all the components together can’t be underestimated. Then there’s the combination of the technology and the collaborative DataRobot team. If either one of those wasn’t there, I would have looked elsewhere.”
