Although today's computers can do amazing things, many of which could not even have been imagined twenty years ago, there are problems that can never be solved by computing. The Halting Problem is the most famous example: it is impossible to define a mechanical procedure that always terminates and correctly determines if the computation specified by its input would terminate. Once we know the Halting Problem is noncomputable, we can show that other problems are also noncomputable by illustrating how a solution to the other problem could be used to solve the Halting Problem which we know to be impossible.
Noncomputable problems frequently arise in practice. For example, identifying viruses, analyzing program paths, and constructing proofs, are all noncomputable problems.
Just because a problem is noncomputable does not mean we cannot produce useful programs that address the problem. These programs provide approximate solutions, which are often useful in practice. They produce the correct results on many inputs, but on some inputs must either fail to produce any result or produce an incorrect result.