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The Internet of Things (IoT) is already having a big impact on the transportation industry. Probably nowhere is this being felt more than with the railroads. I know of a number of projects under way utilizing sensors, analytics, and mobile technologies to optimize rail operations by collecting and analyzing data to determine real-time vehicle location and operating factors (e.g., average acceleration, speed, idle times, number of stops), and to assess KPIs on equipment wear and roadbed conditions.
January 6, 2015 | Authored By: Curt Hall
Neural networks and other ML model development typically use large amounts of data for training and testing purposes. Because much of this data is historical, there is the risk that the AI models could learn existing prejudices pertaining to gender, race, age, sexual orientation, and other biases. This Advisor explores how the Data & Trust Alliance consortium created an initiative to help end-user organizations evaluate vendors offering AI-based solutions according to their ability to detect, mitigate, and monitor algorithmic bias over the lifecycle of their products.
December 14, 2021 | Authored By: Curt Hall
As we explore in this Executive Update, various standards organizations are working to establish common frameworks, platforms, and protocols intended to ensure widespread interoperability and connectivity among IoT products targeted at various domains, such as smart homes, connected cars, smart grid/energy, industrial systems, smart cities, and healthcare.
September 1, 2015 | Authored By: Curt Hall