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Time crunching 5G RAN rollout with AI
Bogotá, Colombia

Tags

# AI, Data & Analytics
# Proof-of-concept

Company Overview

Please Join our next Catalyst LIVE Demos
Tuesday November 10th at 19:00 CET.

Join Via the Agenda: Time crunching 5G RAN rollout with AI
Wednesday November 11th at 10:00 CET. (Featuring: Creativity Software)
Join by Zoom: https://us02web.zoom.us/j/85491074449?pwd=dWx4cmFhMGlYcis2N1ZsRmg5U0RjUT09
Wednesday November 11th at 20:00 CET. (Featuring: Microsoft)
Join by Zoom: https://us02web.zoom.us/j/85491074449?pwd=dWx4cmFhMGlYcis2N1ZsRmg5U0RjUT09
Thursday November 12th at 17:00 CET. (Featuring: Microsoft)
Join by Zoom: https://us02web.zoom.us/j/85491074449?pwd=dWx4cmFhMGlYcis2N1ZsRmg5U0RjUT09


5G will present new challenges for network executives (CTIOs, CTOs, engineering directors & managers). They will need to at least double capacity, compared to 4G, due to the cell densification required to reach coverage and market needs.

Today’s roll-out methodologies rely on manual processes, email-based communication and isolated office tools. This isn’t optimal and it definitely won’t be fit for 5G – digital solutions are required to speed up efficient deployment, reduce CapEx and avoid issues such as long, daily meetings; repeated site visits; lack of clear, real-time oversight and more.

This Catalyst will address four key use cases to overcome these challenges:

Objective 1: Speed up site survey processes and automate network inventory resource reservation using mobile apps and images

Objective 2: Deploy augmented reality, machine learning and analytics for image interpretation to accelerate site verification during the installation process, thereby reducing costs and repeated work

Objective 3: Implementing robotic process automation (RPA), big data and analytics to support closed-loop ‘over the air’ processes, reducing manual work and time

Objective 4: Combining self-organizing networks (SON), single-site verification tools, machine learning, big data and analytics to speed up the initial cluster tuning phase.

Exhibitor Information

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