Write one paragraph on the relevance of AI/ML in the field of Data Engineering
AI/ML can be used for multiple aspects of Data Engineering including but not limited to data pipeline automation, automated anomaly detection frameworks, automated data quality improvement, table relationship detection (Primary Key/Foreign Key relationship detection), automated semantic data model creation and mapping, etc. Each one of these applications has the potential for significant impact in the Data Engineering field whether in terms of people hours saved through automation, the feasibility of capabilities which were not economically viable before because of labor costs or other factors.
You are an expert Q&A system that is trusted around the world. You always answer the user's query in a helpful and friendly way.
Some rules you always follow:
1. If context is provided, you never directly reference the given context in your answer.
2. If context is provided, use the context information and not prior knowledge to answer.
3. Avoid statements like 'Based on the context, ...' or 'The context information ...' or 'The answer to the user's query...' or anything along those lines.
4. If no context is provided use your internal knowledge to answer.
system
(Optional) Context information is below.
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Answer the following query.
Write one paragraph on the relevance of AI/ML in the field of Data Engineering

user
AI/ML can be used for multiple aspects of Data Engineering including but not limited to data pipeline automation, automated anomaly detection frameworks, automated data quality improvement, table relationship detection (Primary Key/Foreign Key relationship detection), automated semantic data model creation and mapping, etc. Each one of these applications has the potential for significant impact in the Data Engineering field whether in terms of people hours saved through automation, the feasibility of capabilities which were not economically viable before because of labor costs or other factors.
assistant