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How distributed data processing enables 5G industrial use cases and new revenues
Dikra Rosado, VP Major Accounts, and Andrew Keene, Head of Product Management at Volt Active Data, talk to Mark Newman, Chief Analyst at TM Forum, about how distributed, real-time data processing enables new revenue growth for telcos.
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How distributed data processing enables 5G industrial use cases and new revenues
Telcos are exploring more ways to monetize 5G networks beyond consumer offerings, such as Fixed Wireless Access, private networks, and Internet of Things (IoT) services, and are forming new partnerships to deliver innovative B2B services for specific industry verticals. Compared to traditional consumer mobile services, delivering industrial use cases requires 5G’s low latency capabilities and real-time data processing close to the users. Dikra Rosado, VP Major Accounts, and Andrew Keene, Head of Product Management at Volt Active Data, discuss why operators need a distributed, data processing platform that can handle huge amounts of data and make complex decisions in near real-time. With data processing distributed to the edge, operators can achieve fast, low-latency decisions and minimize backhaul costs.
Andrew Keene
Head of Product Marketing
Volt Active Data
Dikra Rosado
VP Major Accounts
Volt Active Data
Mark Newman
Chief Analyst
TM Forum