08. Data Rarely Comes Machine-Ready

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In the ramp-up to utilizing artificial intelligence and machine learning, some make the mistake of assuming that all data is equal, and that all data is equally usable.

 

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.

 

01. Understanding Artificial Intelligence and Machine Learning

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

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.
 

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.

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