781
Organizations are relying more and more on artificial intelligence (AI) and advanced analytics to boost operational efficiency, enhance decision-making, and provide actionable insights due to the demands of a dynamic marketplace.
Even though AI and machine learning (ML) are becoming more and more popular, many organizations still struggle to incorporate AI into their present data architecture, particularly when using relational databases like SQL Server.
Download this paper to learn about AI and SQL Server integration.
The paper covers:
- Key Challenges
- Approaches
- Data Preparation and Transformation
- Model Training in SQL Server
- Model Deployment within SQL Server
- Instantaneous Scoring and Predictions
- AI/ML Model Lifecycle
- Integration with Azure ML
- Security and Governance
- Performance Optimization
- and more
