From Data to Intelligence

# From Data to Intelligence: How Backend Engineering and Data Science Work Together to Build AI-Powered Applications

What does it take to turn raw data into an intelligent application that solves a real-world problem?
Machine learning models do not operate in isolation. Behind many successful AI applications are backend systems that manage data, connect services, expose APIs and ensure that predictions reach users reliably.
Join us for an engaging online talk bringing together a Backend Software Engineer and a Data Scientist to explore how these two disciplines work together to build practical, data-driven applications.
Through a career-focused discussion and a shared real-world example, we will explore:

• How backend engineering and data science complement each other.
• How data moves from databases and APIs into analytical workflows and machine learning models.
• What it takes to integrate a trained model into a working software application.
• The technical and communication skills needed for effective cross-functional collaboration.
• Common challenges, mistakes and lessons learned when moving AI solutions into production.
• Career pathways, learning priorities and opportunities for students, aspiring professionals and experienced practitioners.

Whether you are beginning your journey in technology or already working in software engineering, data analytics, data science or AI, this session will help you understand the bigger picture and identify practical ways to develop skills that employers value.
Come curious, bring your questions, and discover how engineering and data science combine to turn data into useful intelligence.