# Problems

Data processing is the linchpin of high-quality AI applications, and the accuracy of this data annotation process is crucial. However, the traditional methods employed in data annotation are now struggling to meet the demands of the ever-expanding AI landscape. Two primary challenges confront this conventional paradigm: inefficiency and high costs.

\
[Inefficiency](/ai-data-annotations-platform/problems-and-our-solutions/problems/inefficiency.md)\
[Highcost](/ai-data-annotations-platform/problems-and-our-solutions/problems/highcost.md)<br>


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