DeveloperWeek 2020

By 2025, it’s predicted there will be 55 billion IoT devices and the amount of data in the world will reach 175 zettabytes. While this explosion of connected devices will benefit businesses with access to more data to derive better insights, it’s also putting immense pressure on IT infrastructure. Moving massive amounts of data from devices and sensors to a data center or the cloud introduces latency, bandwidth, connectivity, and cost constraints.

Businesses are turning to edge computing as a strategy to handle this influx of data and applying analytics at the edge to gain actionable insights in real time. Rather than try to bring data to the cloud faster, a more efficient approach is to bring the analytics to where the data is created. While IoT gateways and other “near-edge” technologies bring analytics closer to the source of streaming data, that architecture can create latency and drive up costs.

In this presentation, Rachel Taylor, CEO, Nubix, will discuss the current state of edge computing, explain how today’s enterprise infrastructure is holding back companies from efficiently capitalizing on the tremendous analytics, machine learning, and AI intelligence that can be unlocked from IoT devices, and in technical detail outline the requirements needed to build a true “edge-native” infrastructure.