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How insight-driven IT automation will become a competitive edge
PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs
The industrial internet of things can greatly improve the connectivity, efficiency, and scalability of an organization, while saving time and money
There are pockets of innovation, but many large businesses are struggling to reap the rewards of data
Python 3.7 adds new classes for data handling, optimizations for script compilation and garbage collection, and faster asynchronous I/O
The silicon-based algorithms that accelerate the next generation of AI happening now are powerful. But what is the strategy for quality assurance of this technology?
A “no compromises” programming language for data scientists, Julia combines the ease of a dynamic language with the speed of a compiled language
The pitfalls and benefits of using synthetic data to train AI algorithms
Data is vital to understanding the customer journey, but how a brand uses it can be the difference between a winning customer experience and a lackluster one
The ability to visualize data, their relationships to one another and connections to business objectives gives organizations the power to uncover insights that would otherwise elude them