AI in Telecommunications Applying Enterprise AI to Accelerate Operational Effectiveness hero banner

AI in Telecommunications

Applying Enterprise AI to Accelerate Operational Effectiveness

Every day, telecom operators collect multiple terabytes of data from infrastructure, applications, customers, and devices—data that is becoming one of the most important assets that operators have. But not many organizations are able to effectively extract value from that data.

As the complexity, diversity, and velocity of data pick up at an astonishing rate, applying advanced AI to a variety of multidimensional data problems may be the only way for telcos to effectively harness the power of this information.

Download this ebook to learn about:

  • AI trends in telecommunications
  • Use cases that can deliver real value across the telecom business
  • Opportunities for telcos to accelerate their journey to AI-driven decisions
  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.