The first step lies in a definition of the goals that your business needs artificial intelligence to accomplish. Some goals might have already proven artificial intelligence solutions that could be implemented in the short-term; others might need experimentation or research to develop, and could take much longer to implement. Can you afford the time investment needed to reach long-term goals, or the investment in capital and training to reach short-term goals?
The next step is in understanding the technology available and what it can do for your business goals. What kind of task does it do? What are the strengths and limitations of using it? Does the project or process you’re evaluating require machine learning for raw data processing or deep learning for more nonlinear thinking?
The final step before implementation of artificial intelligence is determining your company’s ability to incorporate it into the overall business model. Has your company already developed digital capabilities that would make a shift in the model easier to adopt? Does your company already work with big data, cloud storage and digital record-keeping in its day-to-day operations?