What is happening now in machine learning is very much like the homebrew computer movement from a half-century ago.
- By Ted Dunning
- February 2, 2018
Big data for global problems, AI for disaster relief, and data science for marketers.
- By Lindsay Stares
- January 30, 2018
These four recommendations can help prepare you -- or the novice analyst on your team -- for a career in this burgeoning field.
- By Scott McKinney
- January 25, 2018
What you need to know about machine learning to leverage its full potential in your enterprise.
- By Dave McCarthy
- January 23, 2018
How AI will change in 2018, using machine learning to fight money laundering, and how data curators help data scientists.
- By Lindsay Stares
- January 23, 2018
The time has come for predictive analytics to become mainstream in after-sales service. As technology platforms mature and costs decrease, pay attention to these three areas of opportunity.
- By Gary Brooks
- January 19, 2018
Data science and cybersecurity, two of the most popular career paths, are on a collision course. The combination of these two skill sets will become highly sought-after in the next decade.
- By Troy Hiltbrand
- January 16, 2018
Choose a data science solution, avoid overfitting a machine learning algorithm, and learn different perspectives on data science and AI.
- By Lindsay Stares
- January 16, 2018