06. Valuable Tools But No Magic Ponies Here

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Estimates of the transformative power of artificial intelligence and machine learning are running high, likely higher than most organizations' ability to harness the technologies.

 

03. Talent and Tools

Tools to work with big data are becoming more accessible, but users need to understand what they're doing. That's where learning and experience take analysis to the levels where discovery occurs.
 

07. AI and ML Work with Moving Pictures, Not Snapshots

Time is often a missing element in data sets. It's helpful to know a certain metric, but it's even more valuable to know how that's changed over time, and the direction of change.
 

01. Understanding Artificial Intelligence and Machine Learning

Machine learning is about taking vast amounts of data and making it actionable.
 

04. Don't Jump Into the Deep End

Start with a small project and solid data. Learn and build from there.
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