Product development is a risky proposition particularly for hardware companies that make complex products with long development cycles. Often times, capital has to be allocated against features several years prior to product release. With dozens of attributes and features all contending for the same pool of capital budgets, how should an organization decide where to…
Tag: machine learning
The importance of recognizing the two distinct categories of predictive analytics use cases
Predictive modeling use-cases can be separated into 2 broad types: Those where prediction itself is the prize. Accuracy tends to be paramount for such uses-cases and directly proportional to the value of the model (e.g. computer vision, direct mail targeting, high-frequency trading, lift modeling etc.) Those where insights into the relationship between predictor and response…