IoT — The Intelligence of Things

By Evan Kirstel (Linkedin) & @evankirstel (Twitter)

Integrated IoT, otherwise known as the internet of things with artificial intelligence (AI), brings together critical concepts for digital transformation of many business challenges. Data needs to be gathered on a massive basis and intelligently analyzed for viable business decision-making. Internet things are more than things, but everything down to the biological, cellular level and outward to distant objects in space, along with businesses and organizations. This is what the Nutanix supply chain solutions harness — the power of IoT and AI from the edge to the cloud, as shown in Figure 1.

Critical to this thinking is the in-depth knowledge needed from IoT endpoint to cloud analysis along with the ability to build a threat level response to crises. Especially now, businesses are often required to move faster than ever as weather, medical emergencies, disasters and business outages require a response involving proactive intelligence.

Real intelligence means more than looking at problems from one angle. It explores options and results from many angles. This requires more than one kind of intelligence or algorithm that bring together hybrid knowledge and datasets to check information against historical data and extrapolate to solving current and future problems.

Summary: Intelligence applied to problems can often lead to more problems without the necessary support and diverse datasets to provide comparative references. The Nutanix approach is worth considering when you are building a vast knowledge infrastructure.

Reference: Nutanix Xi IoT is comprised of an SaaS infrastructure, application lifecycle management, and Xi Edge software running on a variety of edge hardware. The SaaS management provides an end-to-end view that is centrally managed from the cloud through a user-friendly interface for application development and is easily deployed to thousands of edge locations. You can deploy Xi Edge on bare metal or as a virtual machine (VM) or on shared or dedicated nodes.