What is Artificial Intelligence (AI)? What applications does it have? How is it different from the Internet of Things (IoT)? These are some of the questions this article hopes to answer. Are you ready to leap into the future?
Artificial Intelligence (AI) can be defined as “the theory and development of computer systems able to perform tasks normally requiring human intelligence” (Forbes). What characterises AI is its ability to learn from experience and teach itself new behaviours, in other words, to behave like a fully autonomous system which constantly learns and improves.
The term was first coined by mathematician John McCarthy in the 1950s, and is now current throughout the IT sector and new technologies sector as a whole. But what exactly is it?
For us at Efficy, involved in exactly these sectors, AI is a full part of our developments. Our goal is to apply AI to improve the user experience (UX) for Efficy CRM users, but also to optimize business processes. Here’s a practical example of how AI, applied to your CRM tool, can lead to that enhancement. A junior account manager has just joined the company and is assigned a list of customers.
How can he/she know which of these are key customers who need special attention? Thanks to AI, your CRM solution can, in a completely autonomous way, notify the account manager whenever it detects a sales opportunity for a very important customer. The CRM tool can also send reminders to follow-up on a proposal or simply to visit some key customers so as to maintain an impeccable Customer Relationship.
The Internet of Things (IoT), is the networking of physical objects with the Internet: smart sensors embedded in the objects can collect and send data. The type of data depends on what the object is used for. For example, the IoT enables you to monitor remote data, such as collecting meteorological data on an oil rig.
Another, perhaps more relatable, example is Viktor, a smart cushion designed to give the elderly more autonomy: it can work as a TV remote, and can call for help in case of an emergency.
IoT is limited insofar as it cannot learn nor, therefore, adapt over time. However, integrating AI with smart objects enables them to make decisions autonomously. Just imagine the future, where cars approaching an accident will instantly change their itinerary, or a medicine dispenser will adapt the dose of an asthmatic patient who is about to travel to a very polluted region.
It is easy to see the added-value of these innovations. We just have to wait and see what develops, and welcome the arrival of such products as they come onto the market