04. Don't Jump Into the Deep End

10. Getting Started With Data Analytics Is an Investment, Not an Expense

Venturing into artificial intelligence and machine learning means bringing in new skills and personnel, but ultimately it may be less costly than many large-scale technology projects.

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.

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.

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.