This account is pending registration confirmation. Please click on the link within the confirmation email previously sent you to complete registration. Need a new registration confirmation email? Click here
May 20, 2013 /PRNewswire/ -- As water increasingly becomes one of the world's most precious resources, IBM (NYSE:
IBM) scientists are working with Arad Group, a world leader in reliable water meter systems, to help water companies and utilities around the globe provide more effective and efficient management of drinking water through the use of Big Data and advanced analytics technology.
Water use has increased at more than twice the rate of population growth in the last century. This means cities, water companies and utilities are facing new challenges in providing a high quality supply of drinking water while keeping costs and energy use to a minimum. Many areas have already implemented automated meter infrastructures (AMI) to measure water consumption, providing highly accurate readings. However, employing advanced analytics on the collected data can provide an additional layer of insight, helping both customers and water utilities gain control of the water network and manage valuable water resources more effectively.
Big Data and analytics technology helps clients harness the explosion of data coming from a growing number of resources -- including data collected from utility meter readings and sensors. Arad Group is working with IBM to integrate the latest analytics algorithms into Arad's Dailog3G and City-Mind software.
This means utilities and water companies can benefit from early indications of abnormal consumption, reliable fault detection to determine when there is a leak or water waste, and optimized customer interactions. The IBM algorithms are based on machine learning, data mining, and statistical analysis techniques. For example, these advanced features allow Arad's City-Mind software to learn whether the usage is a pattern that occurred before, if it is appropriate for the current seasonal demand, and whether it coincides with what neighboring families are consuming.