November 29, 2017

ROI3 and Entreprov to Join ITU's Focus Group on Machine Learning for Future Networks Including 5G

In a post on this blog dated Feb. 27, 2016, I write how 5G is a new wave of mobile technology that will bring drastic change. The flow of high volume of data with low latency will bring changes industrialized and developing countries alike will see in various sectors including connected devices (IoT), autonomous vehicles, virtual reality, artificial intelligence and machine learning. While the business model for some of these emerging technologies are still being crafted and tested, the research and development is happening now and I am regularly exploring opportunities to learn more about these technologies. Therefore, I am proud to announce that ROI3 has joined the International Telecommunication Union's Focus Group on Machine Learning for Future Networks including 5G.

In a press release, the Geneva, Switzerland-based ITU says the purpose of the focus group, which goes by FG-ML5G, is to "establish a basis for ITU standardization to assist machine learning in bringing more automation and intelligence to ICT network design and management." FG-ML5G "will lead an intensive one-year investigation into where technical standardization could support emerging applications of machine learning in fields such as big data analytics, network management and orchestration, and security and data protection."

In addition, FG-ML5G will draft technical reports and specifications for machine learning for future networks, including interfaces, network architectures, protocols, algorithms and data formats. The ITU's announcement further says,
The Focus Group will consider machine-learning methods' compatibility with a wide variety of fixed and mobile communication stacks, encouraging the development of methods attuned to the operational requirements of the networking industry.

Interoperability is high on the agenda. The Focus Group will propose means to train, adapt, compress and exchange machine-learning algorithms. This work will promote the emergence of an ecosystem able to support the interaction of multiple machine-learning algorithms.

Machine-learning algorithms are helping operators to make smarter use of network-generated data. These algorithms enable ICT networks and their components to adapt their behavior autonomously in the interests of efficiency, security and optimal user experience.
My colleagues and I at ROI3 will collaborate with Alex Brooks of AE Brooks, LLC (d/b/a Entreprov) in our participation of FG-ML5G. Entreprov is a Seattle, Wash.-based company that helps small and medium-sized businesses increase their customer base and extend lifetime value of current customers through machine learning and business strategy. In his blog post about joining FG-ML5G, Mr. Brooks said, with Entreprov and ROI3 joining forces we have the opportunity to provide a unique perspective on how Machine Learning can impact 5G technology.

ROI3 previously participated on ITU's focus group to identify the network standardization requirements for the 5G development of International Mobile Telecommunications (IMT) for 2020 and beyond. The Focus Group on network aspects of IMT-2020 was established in May 2015 to analyze how emerging 5G technologies will interact in future networks as a preliminary study into the networking innovations required to support the development of 5G systems. The group took an ecosystem view of 5G research of development and published the analysis in a report to its parent group, ITU-T Study Group 13, in December 2016.

I am excited to have the opportunity to learn more about machine learning. In collaborating with Mr. Brooks on FG-ML5G, it is my hope to better understand the role of machine learning in fields such as big data analytics, network management and orchestration, and security and data protection on global scale.

Aaron Rose is an advisor to talented entrepreneurs and co-founder of great companies. He also serves as the editor of Solutions for a Sustainable World.

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