IEEE TEMSCON Global 2026 has an exciting line up of plenary speakers. Check back for updates.

Mark Wehde

Mayo Clinic

Plenary Speaker Plenary 1

Mark Wehde is chair of engineering at Mayo Clinic, assistant professor of Biomedical Engineering in the Mayo Clinic College of Medicine and Science, and fellow in the Mayo Clinic Academy of Educational Excellence. He is also Fellow and James J. Renier Chair in Medical Device Innovation at the University of Minnesota Technology Leadership Institute and a lecturer in the University of Wisconsin – Eau Clair MBA program.

Mark has also served on the board of directors for the IEEE Technology and Engineering Management Society. He is also on the board of several academic organizations, including the South Dakota State University Electrical Engineering program, the University of Wisconsin – Eau Claire Biomedical Engineering program, the University of Minnesota Robotics Institute, the University of Minnesota Healthcare Management program, and the Clinician Engineer Hub, which spans Queen Elizabeth Hospital Birmingham, Imperial College London, and King’s College London.

Mark has given over 80 national and international presentations on the topics of leadership and medical device development and has published more than 25 articles on related topics. Mark received a Master of Science degree in Biomedical Engineering from Iowa State University, a Bachelor of Science degree in Electrical Engineering from South Dakota State University, and a Master of Business Administration through the University of Wisconsin MBA Consortium.

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Stephen Ibaraki

REDDS Capital

Plenary Speaker Plenary 2

When global CEOs seek foresight on the future of AI, quantum technologies, and investment, they turn to Stephen Ibaraki. A serial entrepreneur and Managing Partner at REDDS Capital, Stephen has shaped over $100 trillion in sustainable investments and spearheaded AI-driven solutions adopted by governments, financial institutions, and Fortune 500 companies.

He is the founder of the Fintech Ideas Festival / Technology Advisory Council, where he guided the world’s top 100 CEOs in developing strategies and execution plans for technologies a decade ahead of their time—including blockchain, digital identity, mobile financial services, AI/ML, cybersecurity, biometrics, 5G/6G, quantum computing, workforce transformation, privacy and data analytics, precision services, and the convergence of digital, physical, and biological systems. His leadership brought these CEOs into execution-focused working groups, monthly innovation forums, and private summits.

As the founder of the UN ITU AI for Good initiative, Stephen’s work has reached billions worldwide. With more than 300 recognitions, 23 Microsoft Global Awards (including eight in AI), and advisory roles across Fortune500 companies, Stephen continues to shape the next wave of technological and societal innovation.

 

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Mark Wehde, Chair of Engineering, Mayo Clinic, USA

Technology Leadership and Innovation in the Age of Healthtech

Technology is driving tremendous change across the healthcare industry, fundamentally reshaping how care is delivered, how organizations operate, and how innovation reaches patients. The role of technology leaders in this transformation is more critical than ever—requiring not just technical expertise, but also strategic vision, adaptability, and the ability to navigate complex challenges. As healthcare embraces AI, automation, precision medicine, and digital health, leaders must not only drive innovation but also ensure its successful implementation and adoption.

Yet, healthcare is not alone in facing these disruptions. Almost every industry is now a technology industry—from banking to agriculture—where success depends on integrating emerging technologies, fostering innovation, and leading teams through rapid change. This session will explore the universal principles of technology leadership, drawing on lessons from healthcare while providing insights applicable across sectors.

This talk will also highlight the evolution of Mayo Clinic’s strategic plan, demonstrating how the organization is positioning itself as a disruptor rather than the disrupted and the importance of proactively shaping industry transformation.

Stephen Ibaraki, Chair & General Partner, REDDS Capital

10th Machine Age: Future of Everything in the S10 SHIFT Era

Navigating the 10th Machine Age-S10 SHIFT Era: A Strategic Innovation and Investment Roadmap

The global technological landscape has breached a critical threshold in 2026. We have transitioned from an era of isolated digital innovation into the S10 SHIFT—a structural economic metamorphosis driven by the simultaneous maturation and convergence of 10+1 foundational technologies. This is no longer a theoretical forecast; it is an operational reality defined by industrial-grade deployments. The convergence of supercomputing, advanced semiconductors, next-generation networks, quantum computing, generative materials science, autonomous AI/ML/AGI/ASI, humanoid robotics / automation / drones, biomedical innovation/programmable biology, BCI/neurotechnology, clean energy and storage, and advanced manufacturing and space, the new orbital economy – all compressing innovation cycles from decades into months.

Defining the Convergence

The S10 + 1 SHIFT framework is not merely a list of technologies; it is a systems-thinking model describing the recursive feedback loops between them. The framework posits that advancements in one domain instantaneously accelerate progress in others, creating a flywheel effect of innovation.

  • Synergistic Drivers (S): The distinct boundaries between sectors are dissolving. Example: AI is now the primary architect of advanced chips (Driver 2 + Driver 6). Supercomputers are the laboratories for discovering new materials (Driver 1 + Driver 5).

  • Hyper-acceleration (H): Innovation timelines are compressing by a factor of two. Example: What was once a ten-year R&D roadmap for drug discovery is now being executed in twenty-four months via AI-driven wet labs.

  • Impact Magnification (I): The convergence generates non-linear outcomes and more than 5 times impact magnification. Example: An AI diagnostic agent does not just improve accuracy by 10%; it enhances it by 400% compared to human practitioners, fundamentally altering the economics of healthcare.

  • Frontier Markets (F): Entirely new "white space" industries are emerging. Example: The "Materials-as-a-Service" (MaaS) market and the "Robotics-as-a-Service" (RaaS) labor market were theoretical concepts in 2020; in 2026, they are billion-dollar order books.

  • Transformative Challenges (T): with these profound technology changes comes challenges: Example: geopolitical, economic, social, safety/ethical, privacy, risk, governance, ART—accountability, responsibility, transparency). And the Trilemma of Talent, Energy, and Governance represents the "great filter" for this era. Organizations that cannot secure power, talent, or regulatory license to operate will be left behind regardless of their technological prowess.

This synergistic interplay will generate over $20 trillion in new economic value by 2035. This valuation is underpinned by the explosive scaling of the artificial intelligence sector, which alone is forecast to contribute $16 trillion to the global economy by 2030 and Quantum, $2 trillion by 2035. Complementing this is the commercial space economy, transitioning from government-led exploration to a $1.8 trillion orbital market, and the multi-trillion-dollar impact of pervasive 6G connectivity and autonomous industrial systems.

However, this trajectory of hyper-acceleration faces an existential governor: then transformative challenges (geopolitical, economic, social, safety, ethical, privacy, risk, governance, transparency, responsibility, accountability, and the Talent-Energy-Governance Trilemma. The constraint on growth is no longer scientific feasibility but also physical and human capacity. The demand for AI compute is colliding with the "Power Wall," where gigawatt-scale data centers require the entire output of nuclear power stations. Simultaneously, a profound scarcity of specialized human capital—engineers capable of navigating the intersection of biology and silicon, or quantum mechanics and software—threatens to stall progress. Finally, the regulatory lag in governance creates a volatile operating environment where the rules for AI agents, genetic editing, and neural data privacy are being written in real-time, often fragmenting across geopolitical blocs.

The keynote and session serves as a definitive strategic guide on investments and innovation for all global leaders/investors/innovators. We examine the S10+1 technology drivers, identifying critical examples for each—that define the state of the art in 2026. It provides a roadmap to 2030 and beyond, moving beyond the hype to the hard engineering realities that will determine the winners of the next decade.