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ALYNMENT - Private Networks Technology to Business Alignment for Enterprises - Ep # 30: The Practical Approach to Embracing Autonomous 5G Networks - with Aaron Boasman-Patel, TM Forum

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

02/02/22 • 33 min

ALYNMENT - Private Networks Technology to Business Alignment for Enterprises

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

  • Follow us on LinkedIn at https://www.linkedin.com/company/privatelteand5g
  • Tweet at https://twitter.com/privateLTEand5G
  • For more resources on Private Cellular Networks, go to https://www.privatelteand5g.com/
  • Email us at [email protected]
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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

  • Follow us on LinkedIn at https://www.linkedin.com/company/privatelteand5g
  • Tweet at https://twitter.com/privateLTEand5G
  • For more resources on Private Cellular Networks, go to https://www.privatelteand5g.com/
  • Email us at [email protected]

Previous Episode

undefined - Ep # 29: How to Manage IoT Security in Private Networks - with Jimmy Jones, ZARIOT

Ep # 29: How to Manage IoT Security in Private Networks - with Jimmy Jones, ZARIOT

IoT is a lynchpin to digitizing smart manufacturing, smart cities, and many other industrial enterprises. However, its adoption is often plagued by security concerns. The 5G enhancements that support 1 million devices per square kilometer also increase the attack surface for cybercriminals. An entire business network can be compromised due to vulnerabilities in a connected surveillance camera or even smart bulbs. Though private LTE and 5G networks are theoretically designed for highly secure and controlled network access, are they ready to safely handle the massive influx of connections? Let’s find out!
Our guest for todays’ podcast is Jimmy Jones, the Head of Security for ZARIOT. I have had the privilege of working with Jimmy at many companies, and he is undoubtedly one of the brightest technical minds I have come across with sales acumen. He has held many positions in the tech world, from engineer to sales to business development lead at several companies such as WorldCom, PCI, Positive Technologies, Ribbon Communications, and NexTone.

In our discussion today, we will uncover a few things, such as:

What IoT security gaps enterprises should watch for?

How does the use of private networks help secure the IoT?

What were some of the security learnings from the initial stages of IoT deployment that will influence its prospects in the private 5G implementations? and

What are the biggest challenges companies face when using a private network with IoT connections?

So, let us welcome Jimmy Jones.

Contact PrivateLTEand5G

  • Follow us on LinkedIn at https://www.linkedin.com/company/privatelteand5g
  • Tweet at https://twitter.com/privateLTEand5G
  • For more resources on Private Cellular Networks, go to https://www.privatelteand5g.com/
  • Email us at [email protected]

Next Episode

undefined - Ep # 31: How to Navigate the Maze of Private Network Choices? - with Michael Zeto, Boingo Wireless

Ep # 31: How to Navigate the Maze of Private Network Choices? - with Michael Zeto, Boingo Wireless

In a short span of five years, private 4G and 5G networks have stirred much excitement. But do the outcomes justify the hype? Enterprises wrestle with choices between Do-It-Yourself, managed services, and public operator network slices. How do neutral hosts and system integrators help? What are the most viable technologies for private wireless? Private network deployments are generally customized for the client, and it is hard to compare the costs and benefits. So do CIOs know how to evaluate their choices, and do they have the real-world data to compare? Are there pitfalls in implementation that they should consider while planning private network deployment? Let’s find out.
Our guest for today is Michael Zeto, Chief Commercial Officer at Boingo Wireless. Michael is a wireless industry veteran. Before Boingo, he worked at AT&T as Vice President for Internet of Things solutions and Founder & General Manager for AT&T’s Smart Cities solutions. He co-founded and served as CEO of Proximus Mobility. He also serves on the Board of Directors of the Metro Atlanta Chamber and Technology Association of Georgia.

In short, he has extensive experience in the wireless industry and brings unique perspectives to new technology adoptions.

In our discussion today, we will uncover a few things, such as:

Specific examples of innovation leveraging private networks?

Quantitative benefits of private networks?

Adoption hurdles that still exist today, and

How can enterprises navigate through the maze of choices?

So, let us welcome Michael Zeto.

Contact PrivateLTEand5G

  • Follow us on LinkedIn at https://www.linkedin.com/company/privatelteand5g
  • Tweet at https://twitter.com/privateLTEand5G
  • For more resources on Private Cellular Networks, go to https://www.privatelteand5g.com/
  • Email us at [email protected]

ALYNMENT - Private Networks Technology to Business Alignment for Enterprises - Ep # 30: The Practical Approach to Embracing Autonomous 5G Networks - with Aaron Boasman-Patel, TM Forum

Transcript

Ashish Jain:

AIOps is a natural fit in the 5G software defined networks that are increasingly programmable. Human supervision of 5G networks is a bit like trying to hop on 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 AIOps in private and public 5G networks are promising, data capture in network labyrinths is forbidden due to many silos, emerging d

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