In addition to designing, developing, and testing an algorithm, in many cases, it is important to consider certain practical aspects of starting to rely on a machine to solve a real-world problem as this makes the solution more useful. For certain algorithms, we may need to consider ways to reliably incorporate new important information that is expected to keep changing even after we have deployed our algorithm. Will incorporating this new information change the quality of our well-tested algorithm in any way? If so, how does our design handle it? And then, for some algorithms that use global patterns, we may need to keep an eye on real-time parameters that capture changes in the global geopolitical situation. Also, in some use cases, we may need to consider regulatory polices enforced at the time of use for the solution to be useful.
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