The 2026 speakers

​David Arnoux builds GTM engines that run on AI. Fully handed over and owned by the client.

​He has built them inside 20+ B2B and B2C companies, from seed stage to scale-ups, rebuilding how they find and win customers. The result is what he calls a GTM OS, an engine that runs the growth motion end to end.

​Before that he co-founded Growth Tribe, where 47,000 people learned growth and AI skills. Today he also runs GenAI Circle, a community of 427 growth operators putting AI to work. And he embeds GTM Engineers directly inside marketing and sales teams.

Rocío Alcocer Magirena is the Managing Director of Norrsken Barcelona, where she is helping build one of Europe’s most ambitious hubs for tech and impact startups. She combines leadership in operations, entrepreneurship, and sustainability with a clear focus on creating ecosystems that support founders building solutions with real-world impact.

She is especially relevant for audiences interested in the intersection of technology, entrepreneurship, and purpose-driven innovation. Her background as an ex-founder gives her a grounded perspective on what it takes to build from scratch, while her role at Norrsken positions her at the center of Barcelona’s impact and startup ecosystem.

On stage, Rocío would be a strong fit for a keynote or fireside conversation about building innovation ecosystems, supporting founders, and scaling impact-driven entrepreneurship in Europe.

Anna Thomas MBE is the Founding Co-Director of the Institute for the Future of Work, where she works at the intersection of policy, academia, and industry to shape a fairer future of work. She is a former barrister specializing in employment and equality law, and she has advised governments, the UK opposition, and major institutions on AI governance and the future of work.

Her work focuses on how technology, regulation, and workforce change interact, with particular attention to responsible AI, skills, good work, and the social consequences of automation. She also brings strong credibility as a public policy thinker and research leader, backed by her MBE for services to research on the future of work.

Her perspective is especially relevant for audiences interested in AI governance, workforce transformation, labor policy, and the human impact of emerging technologies.

Maxim Khalilov is an AI and Data Science executive with more than 15 years of experience building machine learning and AI capabilities across product, engineering, and business contexts. He has led work at major tech-driven companies including PepsiCo, Glovo, Unbabel, and Booking.com, with a strong focus on applied AI, NLP, and data-driven product development.

He brings a rare combination of research depth and enterprise execution, supported by a PhD in machine translation, an MBA from IE Business School, and more than 30 scientific publications. That mix makes him especially relevant for audiences interested in how AI moves from models and research into scalable business impact.

On stage, Maxim would be a strong fit for a keynote or expert panel on AI platforms, applied machine learning, generative AI, and the future of data science in large organizations. His perspective would resonate well with both technical leaders and business executives looking to operationalize AI responsibly and effectively.

Alex Saiz Verdaguer is the CEO and founder of MONEI, where he has spent more than 20 years working across fintech, e-commerce, and product development. He is known for building payment infrastructure that connects businesses, banks, and digital commerce in a scalable, practical way.

He brings the profile of a founder who combines technical depth with commercial execution, having taken products from concept to market while navigating regulated environments and fast-moving digital commerce. That makes him especially relevant for audiences interested in AI’s impact on payments, commerce, and platform design.

On stage, Alex would be a strong fit for a keynote on how AI is reshaping fintech, customer experience, and the architecture behind modern payment systems. His perspective would resonate with founders, product leaders, and enterprise teams looking to understand how to build reliable digital infrastructure at scale.

Alejandro Mowszet is a Global IT Director and AI Transformation Lead at Win Systems, with a career spanning software leadership, enterprise technology, and large-scale digital transformation. He brings a strong operational perspective on how AI moves from concept into business-critical systems.

He is particularly relevant for conversations about applying AI in complex, regulated, and high-stakes environments, where reliability, scalability, and responsible implementation matter as much as innovation. His background also suggests deep experience in leading teams through transformation and aligning technology with business outcomes.

On stage, Alejandro would be a strong fit for a keynote or executive panel on AI transformation in enterprise environments, especially where the discussion needs a practical, industry-driven voice rather than a purely technical one.

Shayamal Vallabhjee is a peak performance expert, psychologist, and sports scientist who helps leaders and teams perform at their best under pressure. He has worked across elite sport and the corporate world, advising athletes, executives, and organizations on how to cut through mental, emotional, and environmental noise to unlock clarity and performance.

He is the founder of Peak9 and the creator of the Signal Over Noise framework, a leadership and performance philosophy centered on reducing what gets in the way of execution. His experience spans coaching in elite sport, working with global companies and institutions, and delivering more than 1,000 keynotes across 18 countries.

On stage, Shayamal would be a powerful keynote speaker for audiences interested in leadership, resilience, decision-making under pressure, and human performance in a high-noise world. He brings a rare mix of psychology, neuroscience, and practical coaching that makes his message both inspiring and immediately useful.

Oliver Patel is Head of Enterprise AI Governance at AstraZeneca and a recognized voice in responsible AI, bringing together expertise in AI governance, data privacy, and digital technology policy. He has led global enterprise governance efforts, translated complex regulatory topics for thousands of professionals, and built a strong reputation as an educator and public speaker.

With experience spanning academia, public policy, digital diplomacy, and enterprise AI, he sits at the intersection of strategy, compliance, and practical implementation. His work is especially relevant for organizations that want to adopt AI responsibly while staying ahead of regulation and building trust at scale.

On stage, Oliver would be a compelling keynote speaker for audiences looking for a clear, authoritative perspective on AI governance, AI literacy, and the EU AI Act. His ability to bridge technical and non-technical worlds makes him a strong fit for executive audiences and policy-minded conversations.

A seasoned technologist, entrepreneur, and inventor with more than three decades of experience, he has led organizations through complex transformations, rescued distressed service ecosystems, and brought ambitious technology programs back on course. His career spans highly scalable cloud systems, data pipelines, large software suites, kernel-level engineering, graphics applications, and the migration of massive live data environments.

He has also built and led his own software company, taking ideas from concept to code to market, while contributing to a portfolio of granted patents across a wide range of engineering challenges. That combination of deep technical breadth, operational leadership, and entrepreneurial execution makes him especially compelling for audiences interested in what it takes to build, scale, and reinvent technology businesses.

On stage, he would bring a rare perspective on turning around complexity at scale, translating invention into commercial value, and building resilient systems that survive real-world pressure. He is an ideal keynote voice for leaders who want more than vision, they want hard-earned lessons from the front lines of engineering and transformation.

Constance Nevoret is Co-CEO of Mantu, where she helps lead a global company of 12,000 people across more than 60 countries. She has built her career across the UK, Canada, and Europe, with experience spanning entrepreneurship, international expansion, and leadership in consulting and technology.

She is especially relevant to conversations about workforce transformation, leadership at scale, and the role of companies in reskilling people for an AI-driven economy. Her recent public remarks also show a strong focus on AI reskilling, responsible adoption, and the need for organizations to take the lead in preparing talent for change.

Her perspective is particularly valuable for audiences interested in how large organizations adapt to technological disruption while continuing to grow internationally.

Tim Beck is building one of Europe's most exciting agentic AI companies.

BLP Digital, the ETH Zurich spin-off he founded in 2019 with his brother Sven, removes manual execution work from core business processes: agentic AI automates complex, exception-heavy workflows across finance, procurement, logistics and sales — not as isolated tasks, but end to end. Because processes rarely fail on the standard case; they slow down where data is missing, formats vary, or work passes across systems and teams.

The approach works: 500+ enterprise customers across 40+ countries, rank #42 in the FT1000 Europe's Fastest-Growing Companies 2026, and a $50M investment by Goldman Sachs Alternatives. On stage, he talks about what agentic AI actually delivers in the enterprise with real bottom line impact  — beyond the hype, proven in production across hundreds of customers.

Anna Via is Head of AI at InfoJobs, where she leads AI strategy, adoption, and the core ML and GenAI team. She has over 10 years of experience across data science, AI, and digital products, with a career that moved from data science into AI product management.

She brings a practical product perspective on how AI gets built, tested, and integrated into real digital products, with a strong focus on evaluation, governance, and user impact. Her public writing and talks show a clear interest in applied AI, responsible deployment, and the connection between product thinking and technical execution.

Her perspective is especially relevant for audiences interested in AI product strategy, GenAI in consumer platforms, and how teams can build useful AI systems without losing sight of quality and accountability.