AI analytics is the product of automating data analysis—a traditionally time-consuming and people-intensive task—using the power of today’s artificial intelligence and machine learning technologies.
Artificial intelligence is a cutting-edge solution for a wide range of industries, including human resources and customer service in the broad sense.
Computer vision (CV) is the subcategory of artificial intelligence (AI) that focuses on building and using digital systems to process, analyze and interpret visual data.
TensorFlow is an open source framework developed by Google researchers to run machine learning and predictive analytics workloads.
Machine learning is a branch of artificial intelligence (AI) which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
Reporting summarizes and organizes data in easily digestible ways while analytics enables questioning and exploring that data further.
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DevOps is the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity
The key goal of the blockchain implementation phase is to take the models, processes, technologies determined in the previous phases.
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