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FuturistLens

Kishore Jethanandani is a futurist, economist nut, innovation buff, business technology writer, an entrepreneur in the wearable, IoT and the AGI/Quantum Space

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6 min readAug 13, 2018

An expanding data universe feeds analytics applications.

The future of analytics is capturing information-rich data from an expanding array of data sources. Mesh networks reach out to sources beyond the span of coverage of conventional networks. The insights gained from the growing diversity of data sources address an expanding universe of use cases.

Mesh networks open IOT’s rich last-mile data seams for mining.

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Analytics applications thrive on data capture from a diversity of information-rich sources.

By Kishore Jethanandani

Mesh networks (or the alternative star topology networks connecting devices to routers) reach IOT’s last mile to mine data extracted from every corner. By interconnecting mobile devices, mesh networks can funnel sensor data to local gateways or the cloud for analysis and decision-making.

Information-rich data in nooks and crannies

Wired and wireless telecom networks do not reach distant regions or the nooks and crannies to mine information-rich seams of data. Mining, oilfields, ocean-going vessels, electricity grids, emergency response sites like wildfires, and agriculture are some of the information-rich data sources rarely tapped for analytics and decision-making in real-time or otherwise.

Even where telecom coverage is available, it does not necessarily extend to all assets. Data generated by sensors embedded in equipment on factory…

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FuturistLens
FuturistLens

Written by FuturistLens

Kishore Jethanandani is a futurist, economist nut, innovation buff, business technology writer, an entrepreneur in the wearable, IoT and the AGI/Quantum Space