Читать книгу Industrial Internet of Things (IIoT). Intelligent Analytics for Predictive Maintenance онлайн

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Data science makes it a priority to add technological value to business intelligence and advanced analysis as the main technology differential for companies, through the use of demographic and transactional data to foresee and predict how much certain customers and users will spend over their business relationship with a company (or even the customer’s lifetime value), price optimization supported on preferences and customer behavior, or even utilizing image recognition techniques to analyze X-ray digital images searching for signs of cancer [30].

ssss1 AI and data science illustration.

Three elements are leading the development of AI technologies across all sectors, which are the computational high-performance, affordable, and even processing capacity available, assessing the abundance of computing power in the cloud technologies allowing easy access to affordable and high-performance computing power. Large volumes of data available for conduct training, given that AI, require to be trained on a lot of data available to generate the correct predictions, also relating the emergence of distinct tools for labeling data, in addition to the ease and accessibility of storing and processing structured and unstructured data, to train AI algorithms [31].