I recently finished writing a four-part article series about predictive analytics entitled Predicting the Future. The topic is near and dear to my heart, since I have been working on the field since my undergrad years back in Brazil (more than 20 years ago). And, lately, through my work with PMML, the Predictive Model Markup Language.
The four articles have just been published by IBM in their entirety in the developerWorks website. Since you may be interested in polishing your predictive analytic skills, I thought of sharing the links here. They are:
- Predicting the future, Part 1: What is predictive analytics?
- Predicting the future, Part 2: Predictive modeling techniques
- Predicting the future, Part 3: Create a predictive solution
- Predicting the future, Part 4: Put a predictive solution to work
And, if you are interested in learning about open-standards and predictive analytics, I would also recommend the following articles:
- Predictive Analytics in Healthcare: The importance of open standards
- What is PMML? Explore the Power of Predictive Analytics and Open Standards
- Representing predictive solutions in PMML: Move from raw data to predictions
Enjoy!
![The "Avoidability" of Forecast Error [PART 2]](https://www.smartdatacollective.com/wp-content/uploads/2026/08/avoidability-forecast-error-part-2-330x220.jpg)
