Markus Schmidberger

CTO & CPO, JuntoAI Data Leadership Consultant

I am the CTO & CPO driving JuntoAI's technical innovation and AI-powered architecture. I specialize in helping companies and data leaders close the data business gap through efficient data strategies that deliver measurable results.

15+ Years Tech Leadership
Data-First Strategy Focus
AI-Native Architecture
Markus Schmidberger

Building JuntoAI's Tech Foundation

"Creating scalable AI-native architecture that transforms data into actionable business intelligence."

Data Strategy Philosophy

📊

Data Business Gap

Identifying and closing the critical gap between data collection and business value. Transform raw data into strategic insights that drive decision-making and competitive advantage.

🎯

Efficient Data Strategies

Designing lean, scalable data architectures that maximize ROI. Focus on practical solutions that deliver immediate value while building foundation for future growth.

🚀

AI-Native Architecture

Building systems designed for AI from the ground up. Create data pipelines and infrastructure that seamlessly integrate machine learning and artificial intelligence capabilities.

👥

Data Leadership Development

Empowering data leaders with strategic thinking and technical expertise. Build high-performing data teams that understand both technology and business objectives.

Leading JuntoAI's Technical Innovation

🏗️

Scalable AI Architecture

Designing JuntoAI's cloud-native, microservices architecture on AWS. Building systems that handle millions of AI agent interactions while maintaining performance and reliability.

🔗

Data Integration Strategy

Creating seamless data flows between AI agents, user profiles, and external platforms. Ensuring data consistency and real-time synchronization across the entire ecosystem.

🛡️

Privacy & Security First

Implementing robust security measures and privacy-by-design principles. Protecting user data while enabling powerful AI capabilities and decentralized identity management.

Data Leadership Consulting

1

Data Strategy Assessment

Comprehensive evaluation of your current data landscape, identifying gaps between data capabilities and business objectives. Create roadmap for closing the data business gap.

2

Architecture & Implementation

Design and implement efficient data architectures that scale with your business. Focus on practical solutions that deliver immediate value while building for future AI integration.

3

Team Development & Leadership

Build and mentor high-performing data teams. Develop data leaders who understand both technical excellence and business strategy, creating sustainable competitive advantage.