Gartner Research

Top Practices for AI Vendors to Convert POCs Into Commercial Deployments in CSPs

Published: 07 April 2022

Summary

AI vendors are facing challenges in converting their POCs into commercial deployments. Product leaders at tech suppliers should utilize this research to convey the short- and long-term business benefits of AI/ML implementation to their CSP clients.

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Overview

Key Findings
  • Currently, the average time taken for artificial intelligence (AI) initiatives at telcos to develop from prototype to production is aroundsix to seven months. On average, only 56% of telcos expect their AI prototypes to convert to production.

  • Communications service providers (CSPs) often hype expectations around AI/machine learning (ML), which often ends in disappointment with the results.

  • CSPs are skeptical about prioritizing the implementation of AI/ML when taking a leap in digital transformation.

  • AI/ML deployments are not yet satisfying CSPs with respect to their investment, ROI targets and performance expectations.

Recommendations

Product leaders at tech suppliers, responsible for communications product planning and strategy,

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Analysts:

Pulkit Pandey

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