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

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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.

 

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.
 

02. Digging Deeper on Machine Learning

Machine learning can be as varied as the data itself, from text to image analytics to a widening array of sensor based data. The good news is that tools are advancing rapidly, and many are open sourced.
 

09. Working Within Regulatory Constraints

Regulators have become increasingly interested in what data organizations collect and retain about individuals, how that data is protected and ultimately whether that data is used appropriately.

 

06. Valuable Tools But No Magic Ponies Here

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

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