aiDE™: Accelerating Data Engineering with AI

What to Expect

Join us for a webinar showcasing aiDE™, Systech’s AI-powered toolkit designed to accelerate data analytics and data engineering workflows. See how AI agents and natural language interfaces can help teams generate code, create data pipelines, explore schemas, and complete development tasks in hours instead of weeks.

Discover how aiDE™ connects data environments across Microsoft Fabric and Snowflake through purpose-built MCP servers, enabling federated schema exploration, Dataflow Gen2 orchestration, and AI-driven data quality automation. Explore how a unified, language-driven semantic interface can reduce data engineering effort and improve developer productivity.

What You Will Explore and Learn

AI-Powered Data Engineering

See how aiDE™ uses AI to accelerate code generation, pipeline development, and data engineering workflows.

Natural Language Pipeline Creation

Learn how teams can create data pipelines and orchestrate Dataflow Gen2 using natural language.

Cross-Platform Schema Exploration

Explore how semantic search enables teams to discover and understand data across Microsoft Fabric and Snowflake.

AI-Driven Data Quality

Discover how AI agents can generate data quality rules automatically to improve data reliability.

Accelerating Developer Productivity

Understand how a unified, language-driven interface reduces data engineering toil and helps teams move from weeks of development to hours.

Who Should Attend

This 30-minute session is designed for data engineers, analytics engineers, data architects, BI developers, platform teams, and technology leaders looking to accelerate data engineering workflows, improve developer productivity, and use AI to simplify data development across modern data platforms.

We look forward to seeing you there as we explore how AI-powered data engineering can help teams build, discover, and manage data pipelines faster.