Quickfire Interview: AI in the Internet of Things

Quickfire_Interview_on_AI_in_the_Internet_of_Things_with_Gilli_Coston

Machine Learning and Artificial Intelligence (AI) are some of the most popular technologies leading the path to innovation. In fact, approximately 61% of businesses with innovation strategy in place are leveraging AI to identify opportunities in data they would have otherwise missed.*

Without IoT-enabled asset monitoring solutions, this valuable data would not exist. By continuously collecting and transferring data on anything from wear on a vehicle’s brake system to temperature of a cold chain container, asset-monitoring solutions generate the raw data needed to enable data visualisation and analytics that power machine learning and AI.

Watch in full, the Quickfire Interview on AI in the Internet of Things with Gilli Coston, SVP, EMEA at KORE. Hear how IoT-enabled businesses can and must invest in artificial intelligence and machine learning.

Download our eBook in collaboration with Beecham research, “Monetising IoT data in the Asset Monitoring Business”.

Through the use of IoT location tracking solutions businesses can enhance operational efficiencies with access to real-time location of raw input and final output inventory items, improve project planning and coordination with access to real-time location and availability of machinery and critical resources, as well as ensure worker safety in warehouse, manufacturing, or field environments.

*Narrative Science, 2018