AI is used in Oracle SQL in 23c version in a number of ways, including:
- Vector search: Oracle SQL 23c introduces a new vector search feature that allows users to search for similar unstructured data, such as documents, images, and videos. This feature is powered by AI, and it can be used to find similar data even if it is not stored in the same way.
- Machine learning: Oracle SQL 23c includes a number of machine learning algorithms that can be used to predict outcomes and identify patterns in data. These algorithms can be used to improve the performance of SQL queries and to make better business decisions.
- Natural language processing: Oracle SQL 23c includes a natural language processing (NLP) engine that can be used to generate SQL queries from natural language text. This feature can make it easier for non-technical users to access and analyze data.
Here are some specific examples of how AI is used in Oracle SQL 23c:
- Vector search can be used to find similar documents in a large document repository. This can be useful for tasks such as finding customer support articles that are relevant to a customer's issue or finding product recommendations that are relevant to a customer's purchase history.
- Machine learning algorithms can be used to predict customer churn. This information can be used to target customers with retention programs and to identify areas where the company can improve its customer experience.
- Natural language processing can be used to generate SQL queries from natural language text. This can make it easier for non-technical users to access and analyze data. For example, a user could type in a question such as "What are my top-selling products in the last quarter?" and the NLP engine would generate the appropriate SQL query to answer that question.
Overall, AI is increasingly being used in Oracle SQL to make it more powerful and easier to use. AI can help users to find similar data, predict outcomes, and identify patterns in data. This can lead to improved performance, better decision-making, and easier data access..
