- The amount of code you need to write to support your data;
- Why feature evaluation & transparency are key;
- The value of real-time as well as batch-based deployment; and
- Why having all features in one package is key.
The demand for data scientists is outpacing supply resources. Organizations around the world struggle with finding enough talent and with getting data science projects completed. In fact, a recent survey by Dimensional Research found that 80% of companies engaged in AI and Machine Learning projects said that their projects had stalled. How do you get enough data scientists to be among the 20% that succeed?
Learn more about dotData, and discover why Forrester said that “dotData is AutoML’s best kept secret,” and should make enterprise shortlists for comprehensive AutoML solutions – download your free copy here.