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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.
The combination of IoT and robotics technologies is likely to shape the future of both the robotics and IoT markets.
On this IoT For All podcast episode, Dr. Roger Brooks, Chief Scientist at Guavus, defines artificial intelligence (AI), Machine Learning (ML) and Machine Intelligence (MI) and how each of these impact whether or not an IoT solution is successful.
The added value of machine learning for IoT is that it eliminates the human factor and turns big data into insights in real time.
Building IoT solutions on AWS's platform enables you to focus on core business needs without the hassle of infrastructure management and monitoring. Here's your guide to designing and implementing scalable IoT solutions on AWS.
AI and ML's penetration of a wide range of job markets will yield short term gains but long-term job losses could be devastating.
The relationship between input parameters and output characteristics changes over time, creating concept drift. To ensure your machine learning algorithms use the best data, understanding how to correct for concept drift is essential.
This article focuses on the impacts of digital transformation initiatives through voice-based virtual assistants. Many companies depend on new technologies such as Artificial Intelligence, Machine Learning, Internet of Things, among others. This piece discusses how AI and voice-enabled technologies can put companies on the right path, over the competition.
Alibaba is perhaps the biggest adopter of enterprise machine learning. They've used ML in warehouses to increase productivity by 70 percent.