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.
Boards have signed climate commitments and capital plans that depend on infrastructure that does not yet exist at scale. The gap between net zero ambition, regional grid reality, and shareholder return is widening, and most leadership teams have no economic framework that connects energy, digital, and mobility decisions into a single capital story. The question is no longer whether to decarbonise. It is what to build, in what order, with whom, and on whose roadmap.
Large organizations are built to optimize what works, not to dismantle it. Most boards are structured to hold management accountable for past results; few are designed to govern where the business must go next. When digital disruption and decarbonization mandates arrive simultaneously, the gap between boardroom oversight and strategic foresight becomes the defining organizational risk.
Most executive teams have run AI pilots. Few have moved AI into the operating core, where it changes margins, headcount and customer experience at scale. The gap between experimentation and operational advantage is where competitive position is being decided right now, and most leadership teams cannot see clearly across it.
Most large companies have run AI pilots. Few have moved them into operating advantage. The tension is no longer whether to invest, but how to convert experimentation into revenue, new business units, and customer interfaces that legacy organisations can actually run.
Service organisations are being asked to deploy AI agents and intelligent automation faster than their operating models can absorb them. Leaders know the productivity case, but the harder question is what the customer relationship, the workforce, and the cost-to-serve actually look like once agents handle the work front-line teams used to own. Most transformation programmes underestimate that redesign and end up automating the old service blueprint instead of rebuilding it.
Boards are signing off on AI deployments faster than their organisations can govern them. Privacy, consent, and data lineage have moved from compliance topics to live commercial risks tied to model training, customer trust, and regulatory exposure. Most leadership teams have no shared language for deciding which uses of data are defensible and which are not.
Most large companies have spent a decade investing in digital, data and AI, and the commercial return is still uneven. The hard question is no longer whether to transform, but how to convert that investment into customer experiences, brands and business models that actually grow revenue. The answer sits at the intersection of strategy, culture and data, and very few leadership teams have a coherent view across all three.
Connected products generate more value as data than as objects, and most organisations have not worked out who owns that data, who monetises it, or what their business looks like when a competitor figures it out first. Boards know the shift is happening. Few have a defensible position on what to do about it.
Legacy businesses with strong brands and weakening unit economics keep asking the same question: how do you charge directly for what used to be paid for by advertisers, without losing reach. The answer is rarely a pricing tweak. It usually requires rebuilding the relationship with the customer, the product, and the data underneath, against an internal culture that was not designed for any of it.
Most companies can describe the venture they want to build. Far fewer can pressure-test whether the business model will actually scale, where the unit economics break, and which of the next twelve decisions will quietly kill it. Senior teams need someone who has stress-tested ventures from the inside, at scale, and who can show a leadership group how to do the same with their own bets.
Every organisation now has a digital transformation strategy. Very few have the executive fluency to decide which emerging technologies actually deserve investment, which are years away from being usable, and which belong on the regulator’s desk rather than the roadmap. The cost of getting that distinction wrong, in smart-city programmes, public-sector IT and corporate digital strategy, is quietly absorbed as failed projects and stranded spend.