Data is the first step to any analysis and this article from Forbes reminds us that having good data is also a critical step to developing and maintaining an artificial intelligence capability.
Here’s a ZDNet summary of a McKinsey article about artificial intelligence and the highlight is that most of us have a lot of work to do to first build the base on which our artificial intelligence can work.
Hackernoon highlights the top 10 roles involved in AI and data science:
- data engineer
- decision maker
- expert analyst
- applied machine learning engineer
- data scientist
- analytics manager
- qualitative expert