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
Rahul Yadav is a Lead Application Architect at Humana with over 16 years of experience designing enterprise-scale software across the healthcare and financial sectors. A TOGAF® 9 Certified architect and Senior Member of IEEE, Rahul excels in building cloud-native, secure, and scalable solutions using Microsoft technologies, Azure, and DevOps practices. His leadership has shaped critical systems in areas like teleconsultation, AI integration with SQL Server, and FHIR-based healthcare APIs. Rahul’s hands-on expertise spans microservices, Kubernetes, CI/CD pipelines, and data engineering, utilizing tools such as StreamSets, PostgreSQL, and SSIS. A published author and frequent contributor to thought leadership in Site Reliability Engineering, observability, IoT in healthcare, and cyber-physical security, Rahul combines deep technical skill with strategic insight to deliver high-impact, resilient digital solutions.
Excellent article with detailed explanation! Worth reading