Take a look at some of the important business problems solved by machine learning.Detecting spam, image recognition, product recommendation and predictive maintenance.Most of the above use cases are based on an industry-specific problem which may be difficult to replicate for your industry. This customization requires highly qualified data scientists or ML consultants. The machine learning platforms will no doubt speed up the analysis part, helping businesses detect risks and deliver better service. But the quality of data is the main stumbling block for many enterprises. Thus apart from knowledge of ML algorithms, businesses need to structure the data before using ML data models.

1. MANUAL DATA ENTRY

2. DETECTING SPAM

3. PRODUCT RECOMMENDATION

4. MEDICAL DIAGNOSIS

5. CUSTOMER SEGMENTATION AND LIFETIME VALUE PREDICTION

6. FINANCIAL ANALYSIS

7. PREDICTIVE MAINTENANCE

8. IMAGE RECOGNITION (COMPUTER VISION)