Summary: Communicating with your Board of Directors about AI/ML is different from conversations with top operating executive. It’s increasingly likely your Board wi...
Summary: Finally there are tools that let us transcend ‘correlation is not causation’ and identify true causal factors and their relative strengths in our models. ...
Summary: McKinsey says platform companies will represent 30% of global business revenue by next year (2020). In Part 1 of this article we started to lay out some impo...
Summary: A little history lesson about all the different names by which the field of data science has been called, and why, whatever you call it, it’s all the same th...
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 ...
From optimizing processes to increasing revenue and driving business growth, executives are realizing the value in artificial intelligence. However, many organizations st...
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...
Summary: Whether you’re a data scientist building an implementation case to present to executives or a non-data scientist leader trying to figure this out there’s a...