Telecom's AI Revolution: How Predictive Analytics Optimizes CI/CD Pipelinesby@pavanai

Telecom's AI Revolution: How Predictive Analytics Optimizes CI/CD Pipelines

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In the fast-paced world of telecom, the integration of AI-driven predictive analytics into CI/CD pipelines emerges as a game-changer. Sandhata, a beacon in DevOps and Telecom, leads this transformative journey. The article explores the challenges of telecom CI/CD pipelines, emphasizing the need for a proactive mechanism. Predictive analytics, the unifying force of AI and DevOps, takes the stage as a sentinel, foreseeing potential failures. Meticulous data management, model training with the Random Forest algorithm, and seamless API integration lay the foundation. Real-time insights drive operational excellence, triggering automated workflows in case of predicted failures. Continuous learning and model optimization ensure adaptability to the dynamic telecom landscape. Despite challenges, this journey promises a harmonious future, where predictive analytics becomes the guiding star, orchestrating reliability and excellence in telecom operations.
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@pavanai

Pavan madduru

Experienced AI professional with development background motivated to build impactful AI platforms and products.


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by Pavan madduru @pavanai.Experienced AI professional with development background motivated to build impactful AI platforms and products.
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