If elevators and escalators do not work properly, it has a significant impact on the way cities function. People may not get to work in their office buildings. They may even end up with having difficulty getting home.
At KONE, we help people move in and between buildings as smoothly and safely as possible. Globally, we service more than 1.1 million elevators and escalators and move more than 1 billion people every day.
KONE wants to create a completely new experience for customers, with less equipment downtime, fewer faults and detailed information on the performance and usage of their equipment.
For people who use elevators and escalators, it means less waiting time, fewer delays, and the potential for new, personalized experiences.
The company uses the IBM Watson IoT platform and its cognitive capabilities in many different ways. For example, it helps predict the condition of the elevator or escalator, thereby helping customers manage their equipment over its life cycle.
Improving predictability and people flow
By bringing artificial intelligence into services, KONE can help predict and suggest resolutions to potential problems.
KONE can provide individualized services that specifically meet the needs of customers. Customers will get services and outcomes that fit their exact needs. This is significant, as outcomes and results are more important to customers than technological features.
Making machine-to-machine more human
This is is just the beginning for KONE. With this platform, KONE can bring new services and new innovations for customers and consumers to the market faster.
In a first for the industry, KONE is revealing real-time machine conversations between elevators and the IoT cloud. Teams at IBM and KONE worked together to introduce a popular marketing campaign that brings a human touch to intelligent services and demystify a complex topic.
For many city dwellers around the world, owning a car is more of a hassle than it’s worth. First of all, where do you park it? In New York City, for instance, the cost of a parking spot starts at $100 per month on the low end up to $1 million USD for an underground […]