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110 Recommendations for Enterprises Planning to Adopt AI
2Understand Your Real Problem to Solve
3Understand Your Options
4Know Your Data Limitations
5Know Your Business Requirements
6AI, Machine Learning: Two Different Things
Don’t confuse machine learning with artificial intelligence. Bernard Marr, a big data consultant, stated it well when he said, “Artificial intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider ‘smart,’ and machine learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.”
7Know the Trade-offs
8Fit It into Your Workflow
9AI Still Needs Human Guidance
10Look Carefully at Supporting Technology
Always think about how your systems are going to communicate internally and externally. For example, if you require that your system’s output be auditable or provide an explanation of its conclusion, machine learning alone may not be a suitable solution. Consider other AI technologies that are traceable and auditable and automatically explain analytic decisions, such as advanced natural language generation.
11Work with a Vendor That Can Explain AI
Remember the story of the emperor’s new clothes? Don’t be bullied by vendors or technologists who tell you their products are “too complex” for you to understand. If you don’t see how a solution works, it is because a vendor cannot explain it, not because you cannot understand it.