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WAN-AI to Demo AI-Powered Computational Engine at DTW23

WAN-AI to Demo AI-Powered Computational Engine at DTW23 Image Credit: WAN-AI

In conjunction with TM Forum’s DTW23 - Ignite, which began today at the Bella Center, Copenhagen, Ariana Lynn, Principal Analyst at The Fast Mode spoke to Frank Mungau, Founder and CEO of WAN-AI.

Ariana: Which of the five tracks at DTW23 (AI at scale, cloud native software, future networks, platforms and partners, and Techco DNA) will WAN-AI be participating in?

Frank: AI at scale for Network Investment Optimization

Ariana: What are you looking forward to most at the event? Does WAN-AI have any exciting activities planned?

Frank: Participating in the TM Forum Catalyst Programs. 

WAN-AI has developed a key enabling technology that effectively calculates the precise cost and performance trade-offs when investing in network expansion and we would like to innovate with service and technology providers to develop new processes for the current and emerging network architectures.

Ariana: What are some emerging trends and technologies that you expect will power digital transformation in the telco space in the next year? 

Frank: Network virtualization, SDN and NFV are all promising technologies for driving down network expansion costs when meeting the huge demand for data on the Internet. 

Indeed, the Internet must be used as a starting point when discussing network virtualization and related technologies because the Internet's protocol suite (TCP/IP) forms the basis of many networks in operation today. Therefore, the economic impact of implementing the network virtualization technology is likely to be greatest when it is deployed in networks that are part of the Internet.

Despite the consolidation of network control for Operators in the emerging digital architectures, a challenge that must not be overlooked is the decentralized nature of the Internet. Here, end-host mechanisms such as TCP congestion control enable always-on connectivity by efficiently sharing the available resources, obviating the need for end-users "dialling-up" to reserve bandwidth. However, Operators lack the visibility of exactly how these distributed mechanisms determine the Quality of Experience and are thus forced to grossly overprovision to protect performance, which is costly.

WAN-AIs ultra-fast, AI-powered computational engine calculates the exact operation of data transport protocols such as QUIC & TCP based on the current state of the network in real-time, thus making the end-user demand entirely visible to the Operator – for the first time. Our technology overcomes the main factors preventing greater cost and energy efficiency on the Internet and is ready to power the transformation from physical and inefficient networks to digital and optimal networks.

Frank Mungau - PH.D. in Telecommunications Engineering winning academic awards e.g., Lord Wilberforce Scholarship, Ex-Network Operations Engineer at Vodafone, and currently building world class technology products. Frank has developed a first principles approach to solving the problem of cost & energy efficiency on the Internet and has a vision about how the technology will become a game-changer in the digital transformation of networks worldwide.

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Author

Principle Analyst and Senior Editor | IP Networks

Ariana specializes in IP networking, covering both operator networks - core, transport, edge and access; and enterprise and cloud networks. Her work involves analysis of cutting-edge technologies that drive application visibility, traffic awareness, network optimization, network security, virtualization and cloud-native architectures.

She can be reached at ariana.lynn@thefastmode.com

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