AI in Action – Smart Network Traffic Forecasting in Telecom

Go beyond concepts. Access real-world AI use cases across industries — understand what worked, what didn’t, and what it actually takes to implement.

AI in Action is a curated library of real-world implementation experiences shared by CIOs, CTOs, and business leaders across industries.

This session is led by a telecom network planning and analytics leader from the client side who implemented AI-powered traffic forecasting systems across telecom infrastructure.

This session breaks down:
• The network traffic forecasting and capacity planning challenges the organization was solving
• How AI-driven forecasting systems were implemented to improve network planning and traffic management
• Platforms, tools, costs, and implementation timelines
• False positive concerns, compliance trade-offs, and operational bottlenecks
• Key insights, outcomes, and what he would improve differently

Course Content

Use Case Background 2 Topics
Lesson Content
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Implementation 2 Topics
Learnings 1 Topic
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Future roadmap 2 Topics
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Meet Your Instructor
Offered by Huksa, this L&D program is led by elite industry veterans—CXOs and Functional Heads with 25+ years of deep-domain expertise. You have the flexibility to customize the curriculum, select your preferred expert, and align the program to your organization’s specific objectives. Connect with the Huksa team to explore our array of top-tier trainers available for this course!
Price On-Demand
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This course includes:
  • Lessons 4
  • Topics 7
  • Duration 1.5 Hours
  • Quizzes 0
  • Language English
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