What are some common challenges faced when implementing AI modules?
Some common challenges include data quality, integration with existing systems, and ensuring model accuracy.
How can we overcome data quality issues?
To overcome data quality issues, you can implement data cleaning processes and use robust validation techniques.
What about integration challenges?
Integration challenges can be addressed by using APIs and ensuring compatibility with existing software architectures.
Are there specific tools that can help with these challenges?
Yes, tools like TensorFlow for model training and Apache Kafka for data streaming can be very helpful.
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