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Denise Culver
Online Research Director, Heavy Reading
Denise manages Heavy Reading's Thought Leadership Council, which uses a focus group approach to glean insights from CSPs on topics ranging from automation, IoT, 5G, B/OSS transformation, SD-WAN and emerging technologies... MORE
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Length: 12 Pages
Published: 5/1/2018
Price: $3,495
REPORTS EXECUTIVE SUMMARY
Emerging Technologies Focus Group:
Operators Prove Machine Learning's Applicability

More than 80 percent of panelists on this month's Thought Leadership Council (TLC) say their service-provider organizations have either already or will deploy machine learning by the end of this year. And almost 60 percent of panelists say their company's understanding of machine learning is either excellent or good.

But almost 70 percent of those panelists also say that for machine learning to become mainstream, their companies must see proven case studies and applications in the market. As one panelist said, "The key word is mainstream. We need to bring machine learning out of the data scientist's offices and share it across the organization."

Indeed, almost 60 percent of panelists said the biggest obstacle machine learning faces is that there is no clear understanding of its applicability. As such, one panelist challenged machine-learning vendors, "Go to the mass-market/free development route in the next three years to develop more machine-learning ambassadors in the industries, and don't just limit your marketing efforts to the data analysts, scientists and Big Data practitioners."

TLC circumvents traditional industry hype to ascertain how service providers are really responding to important industry technologies and trends. What makes this initiative so unique is that participants discuss issues in a completely anonymous forum, enabling them to share insights and express business realities that otherwise could not be shared.

This focus group covered in Emerging Technologies Focus Group: Operators Prove Machine Learning's Applicability was asked nine questions about machine learning to ascertain current and future plans, how well it's understood and influences impacting the technology. The results clearly indicate that service providers are integrating the technology when and where it's understood and most obviously applicable; however, widespread adoption of machine learning for service providers will lag until applicability is proven.

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TLC members were asked to rate their company's general understanding of machine learning. Results are shown in the following excerpt. An equal number of panelists, 33 percent, said their companies have either a good or average understanding of machine learning; another 25 percent of panelists rated their company's understanding of machine learning as excellent.
Excerpt
Emerging Technologies Focus Group: Operators Prove Machine Learning's Applicability is published in PDF format.