- Web Analytics- Which customers are likely to convert and didnt. Which customers are not likely to stay and do. More analytics added to Google Analytics like Web Analytics
- Web Analytics Time Series models- web analytics is TS data. More forecasts. Automated Error detection and correction in forecasts
- Data Cleaning and Quality- Something like Google Refine (or open refine https://github.com/OpenRefine ) added before every Machine Learning Classification system I see. or software I see.
- More API integration- for data from the web, to classification models to the web
- Financial Data – Better interfaces and easier analytics. Every Financial Data is basically adding to a classification – Buy Sell Hold.
- Sentimental Analysis for the People- Easier to integrate Blog Data (though GA api) and Social Media Data (twitter , google plus, facebook APIs) to give user analytics of his own reputation across multiple social networks.
- Dating Website Recommendation Systems
These are a few of my favorite things…that I wish I could classify
And some military spying alogirthms that I wish they de classify because everyone has them- so they can show better ads, or build better internet connected night vision Glasses