Siggi Duell

- Lead product development and delivery across multiple diverse teams driving scalable, repeatable AI offerings - Build and manage the Heilbronn site at IPAI as a talent hub and ecosystem partner - Integrate agentic AI into delivery workflows to boost efficiency and future-proof operations - Ensure client success with high-impact transformation programs and strategic C-level partnerships - Optimize processes, tooling, and KPIs to scale impact with discipline and transparency

Shaping the Future of Plug-and-Play Machine Vision As the Value Stream Manager, I am spearheading the creation and scaling of a groundbreaking product category in plug-and-play machine vision. While Inspekto represents a key pillar of this emerging portfolio, it is just one part of a broader vision I am shaping for the future of industrial automation. Key Achievements ▪ Strategic Portfolio Expansion Driving the integration of innovative machine vision solutions into Siemens' broader automation strategy, with a focus on data-driven closed-loop control, software-defined control, and state-of-the-art technologies leveraging pre-trained and proprietary AI models. ▪ Customer-Centric Innovation Maintaining close engagement with customers to ensure products are tailored to meet real-world needs, fostering adoption and value creation through exceptional usability and AI-driven, data-centric decision-making in product and portfolio strategy. ▪ Operational Excellence Streamlining R&D processes, combining creativity with disciplined execution to enhance cost efficiency and accelerate time-to-market. ▪ Leadership Building and leading interdisciplinary, international teams, fostering collaboration and delivering exceptional performance across diverse stakeholders. Also took parental leave to take care of my aging parents and kids.

Driving AI Adoption for Industrial Automation In this role, I led the industrial AI portfolio for Siemens’ factory automation business, enabling shop floor AI adoption and delivering customer-centric, scalable solutions. Key Achievements • Integrated Product Vision: Developed a unified portfolio strategy, aligning customer service and factory automation software to maximize customer value. • Team Leadership: Built and led high-performing virtual teams across organizations, fostering collaboration and driving execution excellence. • Customer-Focused Innovation: Partnered with customers to translate challenges into impactful AI-driven solutions tailored to real-world needs. • Portfolio Growth: Conducted startup and technology screenings to expand the portfolio with cutting-edge AI innovations. • Mentorship & Strategy: Coached portfolio managers to deliver successful products from concept to launch while ensuring alignment with strategic objectives.

Pioneering AI Excellence Across Siemens As Program Director, I initiated and led the development of Siemens MI Core, a foundational framework for industrial AI adoption, while building global competence centers and scaling AI solutions across products, services, and internal processes. Key Achievements: • Framework Leadership: Established Siemens MI Core from the ground up, enabling widespread AI adoption across industries and cementing its role as a cornerstone of Siemens’ AI strategy. • Global Competency Expansion: Played a pivotal role in building and scaling AI teams across India, the US, and China, fostering technical expertise, developing competencies, and strengthening international collaboration. • Customer-Driven Turnarounds: Personally managed a significant high-risk project upon customer request, transforming failing initiatives into successful outcomes through hands-on leadership and deep technical insight. • AI Commercialization: Delivered AI-driven innovations that enhanced Siemens’ product portfolio, creating measurable value for customers and stakeholders. • Cross-Functional Integration: Unified technical R&D and business units, aligning global initiatives with organizational strategy and delivering impactful results.

Accelerating Data-Driven Transformation • Global Program Leadership: Established and executed a global program to build a big data platform and operationalize data-driven use cases across diverse industries. • Strategic Development: Defined data strategy, crafted a comprehensive data landscape, and adapted customer contracts to align with emerging data-driven business models. • Impactful Use Cases: Developed, validated, and scaled use cases, ensuring successful rollouts to global user groups. • Cross-Functional Collaboration: Fostered strong partnerships between engineering, product, and customer-facing teams, enabling seamless delivery and adoption of innovative solutions.

Research and development of industrial machine learning applications. Technical project management and realization: From problem definition through component development, prototyping, and customer pilots

Research in machine learning, in particular reinforcement learning, neural networks, and state estimation