Zamina Ahmad speaker – Suisse
Zamina Ahmad – AI & Machine Learning Expert for Tech Leaders | Award-Winning Keynote Speaker | Founder of shades&contrast
Zamina Ahmad is a globally recognized expert in Artificial Intelligence and Machine Learning with over 15 years of experience designing and deploying intelligent systems across industries. From autonomous vehicles to wind energy optimization, and personalized digital platforms, she has built robust AI systems that drive measurable business value.
Zamina has held high-impact roles in global organizations such as Bosch, where she served as AI Strategy Lead, and Siemens Energy, working at the intersection of data science, engineering, and applied innovation. Today, she is the founder of shades&contrast, a consulting firm specializing in fair, scalable AI systems.
As a keynote speaker, Zamina equips tech executives, product leaders, and engineering teams with the frameworks and real-world strategies to leverage Generative AI in product and organizational contexts. She speaks with clarity, technical precision, and deep insight — empowering companies to transition from AI experimentation to scalable implementation.
🏆 Notable Achievements
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AI Strategy Lead at Bosch: Oversaw enterprise-level data infrastructure for autonomous driving
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Delivered production-grade AI systems in mobility, energy, and SaaS
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Founder of shades&contrast, focused on fair and scalable AI governance
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Speaker at global tech events: Big Data Conference Vilnius, Bosch AI Leadership Summit, DB Innovation Day
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Recipient of the Digital Female Leader Award and 4×4 Under 40
Languages
- English
🧭 Key Themes & Expertise:
■ Generative AI for Product & Tech Teams – Build Smarter, Not Harder
How product, design, and engineering teams can leverage GenAI for rapid prototyping, enhanced user research, coding augmentation, and roadmap alignment.
■ Leading with AI – The AI-Augmented Tech Leader
How CTOs and product leaders can integrate AI into decision-making, architecture, team productivity, and strategic prioritization.
■ From Bias to Balance – Engineering Fair and Trustworthy AI Systems
How to identify, test, and mitigate bias in training data, ML models, and AI deployments, with clear methodologies and governance practices.
Zamina’s keynotes go far beyond inspiration — they offer concrete, technically grounded, and leadership-relevant content. With a deep understanding of data ecosystems, model deployment, and AI ethics, she provides frameworks that empower teams to build trustworthy, efficient, and future-ready systems.
What makes her interventions powerful:
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Real-world implementation roadmaps backed by industry case studies
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Practical strategies to integrate GenAI into leadership, product, and engineering workflows
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Clear insights into AI governance, risk mitigation, and organizational readiness
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Deep emphasis on ethical AI, data integrity, and fairness in ML pipelines