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Developing applications with artificial intelligence can be a challenge. Here we explain why.
When developing AI applications, one of the most important early steps is to test AI algorithms to make sure we're getting relevant results.
If we can squeeze image or text recognition, NLP (natural language processing), automated data analysis, and other AI uses into a mobile device, then we plan to create an AI app.
AI data models based on intelligent algorithms can continuously improve and live independently of the mobile app shell. Therefore, an appropriate tuning of the data pipeline is necessary to continually improve the accuracy of the AI.