Dr. Christian Fürber is a recognized data expert with over 20 years of experience across the entire data management & strategy spectrum. Throughout his career, Christian has served in numerous roles from Data Engineer to Data Owner, giving him a comprehensive understanding of data challenges at every organizational level.

Christian established one of Germany's first Data Governance organizations at the German Federal Armed Forces, implementing one of the first data strategies back in 2009. At OMMAX, Christian leads an experienced team that has successfully executed numerous data projects and strategies for renowned companies across multiple industries. His focus consistently centers on generating substantial business value from his clients' data assets.

Beyond his work at OMMAX, Christian is a sought-after author and speaker at international conferences, including MIT, demonstrating his ongoing commitment to advancing the field of data. You can find more information about Christian on LinkedIn.

Daniel Soujon brings two decades of leadership experience in digital transformation to OMMAX. His expertise spans critical areas including IIoT, digital business building & development, service digitalization, AI-driven business model innovation, and IT/OT convergence. Daniel has successfully implemented groundbreaking solutions across manufacturing, services, energy management, and materials industries.

Prior to joining OMMAX, Daniel served as a Partner/VP at Siemens Management Consulting before taking over the global business responsibility for Siemens Factory Automation Services. In his last role as Corporate VP at Henkel Adhesive Technologies, Daniel drove value creation of new digital businesses, further deepening his understanding on how to create tangible business value with Tech, Data and AI. Daniel also holds a Diploma in Physics and Computer Science from LMU Munich & Université de Paris-Sud and an MBA from INSEAD.

At OMMAX, Daniel focuses on helping organizations bridge the gap between technological possibilities and practical business applications. His approach combines strategic insight with implementation expertise, ensuring that digital transformation initiatives deliver tangible results. Daniel's background in both technology and business leadership positions him uniquely to guide clients through complex data and AI transformation journeys. You can find more information about Daniel on LinkedIn.

Gayatri is a Senior Data Scientist at IQI/Ommax. With a background in Data Analytics and Engineering from the Technical University of Munich (TUM), Gayatri has spent the past four years working across a range of data and AI initiatives within the company.

Her work focuses on practical applications of machine learning, natural language processing, and more recently, generative AI and intelligent agents. Drawing on cross-functional experience, she contributes to building and deploying AI-powered solutions within enterprise environments.

Marius Michel is Manager Data and AI Strategy at OMMAX, one of Europe’s leading digital strategy consultancies. With over five years of experience across AI strategy, data science, and implementation, Marius helps organizations turn complex data into business value. His client portfolio spans industries and includes medium-sized champions and global enterprises.

At OMMAX, Marius leads international data and AI projects - from developing enterprise-wide AI strategies to hands-on deployment of GenAI applications, predictive models, and optimization solutions. His work focuses on areas such as customer segmentation, mathematical optimization, AI-powered process automation, and reinforcement learning. Marius has deep expertise in agentic AI, LLM integration, and building practical use cases - for example in healthcare, software development, and customer service.

Before OMMAX, he worked with LogMeIn, Porsche AG, and the Institute of Information Systems and Marketing at KIT. He holds an M.Sc. with distinction in Industrial Engineering and Management from the Karlsruhe Institute of Technology.