K
Kathleen Martin
Guest
IoT and AI are two of the hottest topics in tech, which is a good reason why enterprise technologists must understand them. The two technologies are very symbiotic, so it's critical to plan for how they can support each other to benefit enterprise users.
What is IoT?
IoT is a network of devices rather than people. IoT applications are normally built from devices that sense real-world conditions and then trigger actions to respond in some way. Often the response includes steps that influence the real world. A simple example is a sensor that, when activated, turns on some lights, but many IoT applications require more complicated rules to link triggers and actions.
The messages that represent triggers and actions/commands in IoT flow through what's commonly called a control loop. The part of an IoT application that receives the triggers and initiates the actions is the center point of that loop and the place where IoT rules reside.
The control loop is only a part of the total information flow in an IoT application -- the part that actually receives information on real-world process conditions and generates real-world responses. Most IoT applications also generate some business transactions. For example, the reading of a shipping manifest at the entry to a warehouse might open the gate for the driver -- a control loop decision -- and also generate a transaction to receive the goods represented on the manifest into inventory -- a business transaction. Decisions made in the control loop must meet application latency requirements, which are often referred to as the length of the control loop.
Often control loops only require simple processing to close the loop and create a real-world response to an event. Entering a code to open a gate is an example of this. In other cases, the processing needed to decide is more complicated. When the processing must apply more decision factors, the time required to make these decisions can affect the length of the control loop and the ability of IoT to provide the features expected. A half-minute delay in having a worker scan a manifest before admitting a truck into a freight yard, for example, could reduce yard capacity. IoT could read a QR code on the manifest and make the necessary decisions much faster, speeding the movement of goods.
Continue reading: https://www.techtarget.com/iotagenda/tip/AI-and-IoT-How-do-the-internet-of-things-and-AI-work-together
What is IoT?
IoT is a network of devices rather than people. IoT applications are normally built from devices that sense real-world conditions and then trigger actions to respond in some way. Often the response includes steps that influence the real world. A simple example is a sensor that, when activated, turns on some lights, but many IoT applications require more complicated rules to link triggers and actions.
The messages that represent triggers and actions/commands in IoT flow through what's commonly called a control loop. The part of an IoT application that receives the triggers and initiates the actions is the center point of that loop and the place where IoT rules reside.
The control loop is only a part of the total information flow in an IoT application -- the part that actually receives information on real-world process conditions and generates real-world responses. Most IoT applications also generate some business transactions. For example, the reading of a shipping manifest at the entry to a warehouse might open the gate for the driver -- a control loop decision -- and also generate a transaction to receive the goods represented on the manifest into inventory -- a business transaction. Decisions made in the control loop must meet application latency requirements, which are often referred to as the length of the control loop.
Often control loops only require simple processing to close the loop and create a real-world response to an event. Entering a code to open a gate is an example of this. In other cases, the processing needed to decide is more complicated. When the processing must apply more decision factors, the time required to make these decisions can affect the length of the control loop and the ability of IoT to provide the features expected. A half-minute delay in having a worker scan a manifest before admitting a truck into a freight yard, for example, could reduce yard capacity. IoT could read a QR code on the manifest and make the necessary decisions much faster, speeding the movement of goods.
Continue reading: https://www.techtarget.com/iotagenda/tip/AI-and-IoT-How-do-the-internet-of-things-and-AI-work-together
