Predictive analytics use cases are validating its value proposition and driving increased investments in artificial intelligence (AI) and machine learning (ML). Real-world examples in manufacturing and other asset-intensive industries demonstrate the technology’s ability to study data patterns in systems, sensors, and processes; automatically detect anomalies; and proactively predict failures and inefficiencies in time to make […]
Welcome to Tignis TV—Physics, Machines, and Data. In today’s episode, Harel Kodesh, a pioneer in digital transformation, shares unique insights and advice based on his time as VP of the information appliances division at Microsoft; CTO at GE Digital and General Manager of Predix, its operating system for the Industrial Internet; and now Operating Partner […]
Traditionally, when we think about improving reliability, we focus on individual assets and how to reduce their downtime. Less common, yet equally beneficial, is applying reliability efforts to the system as a whole, such as a manufacturing production line, a continuous chemical production process, or a wastewater treatment system. Best practices including preventive and predictive […]
Our team is always keeping an eye on news surrounding digital twins, machine learning, data analytics and more. Here are a few articles that we found especially interesting during the month of September. Industry 4.0 & the Water Sector – Water Finance & Management This article in Water Finance & Management hits the nail on […]
