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Ep # 30: The Practical Approach to Embracing Autonomous 5G Networks - with Aaron Boasman-Patel, TM Forum

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Content provided by Ashish Jain. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ashish Jain or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

AI Ops is a natural fit in the 5G era with software-defined networks that are increasingly programmable. Human supervision of 5G networks is a bit like trying to hop onto an electric train after it has left the station. AI-assisted automation is the holy grail for network managers rattled by a catastrophe precipitated by human errors. While early trials of AI Ops in private and public 5G networks are promising, data capture in network labyrinths is forbidding due to many silos, emergent data standards, and insufficient data to train AI models. How are telcos and enterprise CIOs balancing the risk and benefits of autonomous networks steered by AI? Let’s find out!
Our guest for the podcast is Aaron Boasman-Patel, Vice President of AI & Customer Experience at TM Forum. He is responsible for defining and executing the strategic vision for all AI, manages the cross-ecosystem collaboration projects, and helps to set industry standards.
In our discussion today, we will uncover a few things, such as:

- What are the early lessons from experimenting with autonomous networks?

- What are the challenges of setting data standards for AI Operations and automation?

- How does AI Ops benefit private 5G deployments? and

- How do CIOs prepare for autonomous networks and avoid errors without a way to learn from past mistakes?

So, let us welcome Aaron Boasman-Patel.

Contact PrivateLTEand5G

  continue reading

43 episoade

Artwork
iconDistribuie
 
Manage episode 354171396 series 3443788
Content provided by Ashish Jain. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ashish Jain or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

AI Ops is a natural fit in the 5G era with software-defined networks that are increasingly programmable. Human supervision of 5G networks is a bit like trying to hop onto an electric train after it has left the station. AI-assisted automation is the holy grail for network managers rattled by a catastrophe precipitated by human errors. While early trials of AI Ops in private and public 5G networks are promising, data capture in network labyrinths is forbidding due to many silos, emergent data standards, and insufficient data to train AI models. How are telcos and enterprise CIOs balancing the risk and benefits of autonomous networks steered by AI? Let’s find out!
Our guest for the podcast is Aaron Boasman-Patel, Vice President of AI & Customer Experience at TM Forum. He is responsible for defining and executing the strategic vision for all AI, manages the cross-ecosystem collaboration projects, and helps to set industry standards.
In our discussion today, we will uncover a few things, such as:

- What are the early lessons from experimenting with autonomous networks?

- What are the challenges of setting data standards for AI Operations and automation?

- How does AI Ops benefit private 5G deployments? and

- How do CIOs prepare for autonomous networks and avoid errors without a way to learn from past mistakes?

So, let us welcome Aaron Boasman-Patel.

Contact PrivateLTEand5G

  continue reading

43 episoade

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