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AI-enabled automation in the telecoms industry: insights for communications service providers and vendors

27 May 2020 | Research

Justin van der Lande

Strategy report | PPTX and PDF (31 slides) | AI and Analytics


"Communications service providers need a centralised approach to co-ordinating both AI-based development and cognitive AI tools to achieve greater automation."

The complexity and fast-changing nature of communications service providers' (CSPs') business processes makes automation (including automation of human and real-world interactions) a challenge. Artificial intelligence (AI) can address these challenges by using complex data sets to make better decisions and by applying algorithms to understand real-world data such as voice, text and images.

This report answers the following questions.

  • What benefits does AI bring to automation that previous approaches were unable to achieve?
  • Which challenges are best solved using AI technology and why is this technology more effective than previous approaches to automation?
  • Where is AI situated within other classes of automation tools such as robotics process automation (RPA) and analytics?
  • In which settings has AI been used successfully for automation?
  • Which factors are driving the deployment of AI for automation within the telecoms industry?

AI can be used for automated processes that are complex and require both closed-loop coding and cognitive understanding

AI can be used for automated processes that are complex and require both closed-loop coding and cognitive understanding

USD4999

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