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This article looks at the role of RPA in the data center of the future, the so-called 'smart data center.' We explore why data centers need to smarten up, what types of RPA are available, how RPA can be integrated into the data center and the benefits of doing so.
Our phones, cars and water have all gotten smart, so it was only a matter of time before industry did, too. You've probably heard the term smart factory, or maybe you've heard about the industrial internet of things (IIoT). It's simple to deduce that these next-generation factories introduce new technology to do things even better. So how exactly do they do it?
Today’s businesses leverage the power of Artificial intelligence (AI) in many ways. Call centers to deploy AI-based chatbots to improve customer interactions. Banks and financial institutions use deep learning to analyze countless data points in seconds and detect fraud.
This article will show you how to:- Install a thermal camera, monitor it remotely and capture frames at regular intervals- Train a simple machine learning model to detect the presence of people in the thermal camera frames- Automate the execution of custom tasks depending on whether people are detected or not
Among the groundbreaking technological breakthroughs of the last decade or so, none has reached the level of impact which AI & IIoT combinedly exerted on our industrial sector.
With a predicted 20 billion connected devices by expected to be in use by 2020, businesses need to understand how to extract value from data coming in from IoT devices. This article breaks down the different data sources from IoT as well as their impact on storage and how automation can help organizations gain more value from their IoT data.
Bianca Ferri, a data scientist at SparkBeyond discusses the role AI plays in the future of technology, and why this intelligence must be accessible to those who want it.
AI-enabled technologies are simultaneously extending, complementing and jeopardizing global healthcare efforts. The road ahead for "Dr. AI" looks precarious yet promising.
AI and ML can improve decision making, personalize experiences and enhance decision making in smart cities, but at the risk of bias and abuse.
To capitalize on the productivity gains of increased robot use, we need to dispel the myths, mystery and hype surrounding robotics and AI.