The future is here and companies that have incorporated the latest innovations led by AI in their business processes are reaping the rewards. A full-stack AI strategy i...
At our meetup Data Science for Internet of Things, Dan Howarth conducted a workshop on tensorflow 2.0 we plan to convert it into another book on data science central. fo...
Summary: The ability to train large scale CNNs directly on your cell phone without sending the data round trip to the cloud is the key to next gen AI applications like ...
AI is a new buzzword but there has been a lot of talk around analytics and prospects over a decade. Here we present a perspective that AI is a continuum of Analytics Let ...
From optimizing processes to increasing revenue and driving business growth, executives are realizing the value in artificial intelligence. However, many organizations st...
Why should companies care about Digital Transformation? Yes, I know it appears as yet another technology-drunk buzzword, but what about Digital Transformation should ma...
Summary: In the literal blink of an eye, image-based AI has gone from high cost, high risk projects to quick and reasonably reliable. C-level execs looking for AI tec...
Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out and once again there are big changes in the leaderboard. Some major incu...
Is innovation an artisanal feat? Can innovation be weighed, measured on a scale, and optimized like a production operation? Can the use of data analytics disrupt creativi...
This article was written by Datapred. In a previous post, we explained the concept of cross-validation for time series, aka backtesting, and why proper backtests mat...