WTA INVITED TO AI TRANSFORMATION CEO SUMMIT IN PORTUGAL

Western Technology Alliance attended the AI Transformation Summit, held April 28–30, 2026, at Nova School of Business & Economics in Carcavelos, Portugal. The summit was hosted in collaboration with the Harvard Business School AI Institute and included the Driving AI Transformation CEO Forum, an exclusive, invite-only gathering of CEOs, executives, academic leaders, and industry innovators focused on the future of AI transformation.

A centerpiece of the summit was the Driving AI Transformation CEO Forum, an exclusive, invite-only gathering of business leaders focused on one of the most important questions facing organizations today: how can artificial intelligence be adopted in ways that are practical, responsible, and capable of creating lasting enterprise value?

The forum brought together an influential group of CEOs, executives, academic leaders, and AI transformation practitioners from across technology, finance, industry, government, and higher education. Speakers and participants included Matthew Prince, Co-founder and CEO of Cloudflare; Silvia Bechmann, former CEO of Mercedes-Benz.io and Executive Advisor; Miguel Almeida, CEO of Cisco Portugal; Sofia Tenreiro, CEO of Siemens Portugal; H.E. Raja Al Mazrouei, CEO of Etihad Credit Insurance; Maria José Campos, COO of Millennium BCP; Sérgio do Monte Lee, Board Member at Deloitte; Jordan Metzner, Founder and CEO of Ryz Labs; Bernardo Correia, Portugal’s Secretary of State for Digitalization; and leading faculty and institute leaders from Harvard Business School and Nova SBE.

For WTA, the experience was both energizing and highly relevant to our work. Much of our practice sits at the intersection of enterprise systems, data architecture, workflow modernization, predictive analytics, applied AI, and organizational change. We have long believed that successful technology transformation is not simply a matter of introducing new tools. It requires a clear understanding of the organization, the people doing the work, the quality and structure of the underlying data, and the operational realities that determine whether a system will actually be adopted.

That theme was reinforced throughout the CEO Forum. AI transformation is not a standalone technical initiative. It is increasingly central to organizational strategy, leadership, governance, workforce planning, and long-term competitiveness. The most successful organizations will not be those that simply experiment with AI in isolation, but those that learn how to connect AI capabilities to real business processes, measurable outcomes, and responsible decision-making.

A recurring insight from the conversations was that the hard part of AI adoption often begins before the model is selected. Organizations must first ask whether their data is accessible, reliable, secure, and meaningful. They must understand where existing workflows create friction. They must decide how people and AI systems will work together. They must also create governance structures that encourage innovation while managing risk, bias, privacy, transparency, and accountability.

These are not abstract concerns for WTA. They reflect the same issues we see in the field when helping organizations modernize legacy systems, improve data architecture, automate complex workflows, and develop technology that supports operational decision-making. Whether the context is environmental compliance, regulatory reporting, GIS data, field operations, validation workflows, or enterprise modernization, AI is only as useful as the systems, data, and human processes around it.

The summit also reinforced the importance of leadership in AI transformation. While technical execution remains essential, organizations that move effectively will be those whose leaders understand both the opportunity and the responsibility. AI can accelerate analysis, improve productivity, surface patterns, and support better decisions. But it must be implemented with care, with an understanding of the people it affects and the decisions it informs.

WTA came away from the summit encouraged by the quality of the discussion and by the growing emphasis on practical, human-centered AI adoption. The future of AI will not be defined only by more powerful models. It will be shaped by organizations that can integrate those capabilities into real-world operations with clarity, discipline, and purpose.

We are grateful to the Harvard Business School AI Institute, Nova SBE, and the many leaders who contributed to such a thoughtful and forward-looking event.

As WTA continues to expand its work in data strategy, predictive analytics, enterprise modernization, and applied AI, the conversations in Portugal will help inform how we support clients navigating this next phase of digital transformation.