Transformación Digital speakers
Estrategas y tecnólogos que ayudan a las organizaciones a navegar los desafíos técnicos, culturales y comerciales de la transformación digital
Speakers Associates represents 234 speakers on Transformación Digital, including Rahaf Harfoush, Purna Virji, Itai Green, Limor Ziv, Tom Goodwin, Daniel Trabucchi & Tommaso Buganza, Jeremy Blain, Dr Sidney Shapiro, Blake Morgan y Marc Saltzman.
Most large companies still organise around the playbook that built them. The world they compete in now rewards faster cycles, ecosystem partners, and growth engines that sit outside the core. The hard question is no longer whether to transform, but how to run the existing business at full performance while building the next one alongside it.
Customers no longer believe corporate messaging, no longer feel loyalty, and no longer encounter brands the way marketing plans assume they do. Marketing budgets keep funding tactics built for an attention economy that does not exist anymore. The unresolved question for senior commercial leaders is what actually creates preference and belonging when advertising impressions have lost their pricing power.
Boards are being asked to make ten-year commitments on technologies that change every six months. Most leadership teams lack a decision architecture for this: they either freeze, or they pilot endlessly without operational deployment. The unresolved question is how to commit capital and reorganise work around AI without betting the firm on a single forecast.
Most enterprise AI programmes stall in the gap between vendor demos and operational reality. Leaders are asked to commit capital and reorganise teams before the evidence base for what actually works at scale exists. The pressure is to move fast on technology that rewrites how work gets done, without a credible read on which adoption patterns produce measurable outcomes.
Most large consumer-facing organisations claim to be customer-led and operate as the opposite. Functions are measured on volume, conversion and cost, while the lived customer experience falls between them. Boards then ask why loyalty is eroding and acquisition costs keep climbing.
European political risk is rarely as simple as reading election results. Governments form and fall through coalition mechanics that most business advisers, and most executives, cannot reliably read from the outside. For organisations operating across EU markets, the question is how to build genuine political intelligence into strategic planning before regulatory or institutional disruption arrives.
Most brands still treat marketing as broadcast: a message pushed at a customer through paid media. The customer, meanwhile, decides whether to buy on the basis of what the brand actually does to them in the room, in the app, in the stadium, in the store. The gap between what marketing departments produce and what customers experience is where commercial advantage is now lost or won.
Industry boundaries are moving faster than strategy teams can redraw them. Software firms, platforms and AI entrants now compete inside sectors that once felt structurally protected, and the rules of value capture have changed with them. Boards keep asking the same question: where in this ecosystem do we still own the customer, and where are we becoming a component in someone else’s stack.
Most large digital and AI investments stall before they deliver. The technology is rarely the reason. The operating model and leadership decisions move slower than the tools, and that mismatch is where most programmes quietly slide off the agenda.
Boards and executive teams know they need to act on AI, but most are stuck between vendor pitches, pilot fatigue and a regulatory picture that keeps moving. The harder question is not whether to invest, but which decisions belong in the boardroom, which belong with the operators, and how to govern the technology without stalling it. Few advisors have sat on all three sides of that table: building the technology, running it at scale, and writing the policy that shapes its limits.
Most boards now have an AI policy. Very few have a defensible answer to what the policy actually controls when models are deployed across operations, products, and decisions about people. The harder question is how to keep AI ambition moving without losing public trust, regulatory standing, or internal credibility when the first serious failure lands.
Most digital transformation programmes are still run as technology projects. Boards approve platform spend and IT delivers the rollout, but adoption numbers come in below the business case. The gap between what the technology can do and what customers and employees actually use is where commercial returns disappear.