Transformação Digital
Estrategas e tecnólogos ajudando organizações a navegar os desafios técnicos, culturais e comerciais da transformação digital
Speakers Associates represents 234 speakers on Transformação Digital, including Rahaf Harfoush, Purna Virji, Itai Green, Limor Ziv, Tom Goodwin, Daniel Trabucchi & Tommaso Buganza, Jeremy Blain, Dr Sidney Shapiro, Blake Morgan e Marc Saltzman.
Workforces have absorbed wave after wave of restructure, system migration and AI rollout. Engagement is flat, change initiatives stall on adoption, and the people expected to deliver the next transformation are visibly tired of the last one. Leaders need a credible way to rebuild appetite for change without another corporate culture programme that lands as noise.
Most organizations are running AI somewhere. Getting it to run everywhere, consistently, strategically, at scale, is where senior leadership investment consistently stalls. The gap between a working pilot and an embedded enterprise capability is not a technology gap. It is a strategic and structural one: the wrong organizational design, insufficient data foundations, and a leadership layer that cannot distinguish between AI as a point tool and AI as a new operating logic.
Most organisations have pilots running, copilots deployed, and a roadmap deck. Few have a clear answer to what their managers and frontline teams should actually do differently when AI is sitting next to them. The gap between AI capability and human capability is now the binding constraint on commercial value.
Most enterprise AI programmes stall between pilot and operating advantage. Boards have approved the spend, vendors have shipped the tools, and the value is still trapped in slideware. The tension now is governance, accountability and workforce redesign at the speed agentic AI is moving, not whether to invest.
Most executive teams can describe what generative AI is. Far fewer can tell you which specific decisions inside their business should change because of it. The gap between surface-level fluency and operational judgement is where transformation stalls, budgets drift, and boards lose patience.
Most organisations still market and price as if customers make rational decisions. The gap between how buyers actually think and how sales, marketing and pricing teams are built to sell is where revenue leaks out, where innovation stalls on launch, and where well-funded campaigns quietly underperform. Closing that gap is a psychology problem, not a channel problem.
Most organisations have now invested significantly in digital infrastructure. Most are still not performing like digital organisations. The companies consistently outcompeting established players are not winning on technology budget – they are winning on operating model, decision-making speed, and cultural norms that established businesses have not yet diagnosed, let alone changed. Leaders are under pressure to demonstrate digital transformation outcomes without a clear account of what actually separates digital investment from digital performance.
Marketing teams produce more content than ever and convert less of it into trust. The volume keeps rising, the writing keeps thinning out, and customers can tell. The harder question for any commercial leader is whether the words their organisation puts into the world actually sound like a business worth buying from.
Retail strategies built on quarterly drops and full-price churn are running out of room. Consumers are shifting spend from ownership to access, and the operational economics of rental, resale and subscription look nothing like wholesale. The question for retail leaders is whether a circular model can be run at margin, not whether it should exist.
Most IoT and digital innovation projects run out of budget before they create value, and the reasons are rarely technical. They are structural. One function owns the work while others join too late, and the partner ecosystem needed to scale sits outside the room.
Incumbent financial institutions know their customers would leave if a credible alternative appeared. The problem is building that alternative inside a regulated industry, with legacy systems, risk-averse culture, and distribution models that were never designed around the customer. Most attempts to modernise from within stall long before they reach the market.
Most boards still treat AI, automation and connected mobility as a technology programme. The harder question is what they do to the operating model, the workforce, the customer relationship, and the social contract a company sits inside. Leaders need a way to think about exponential change that is sharper than scenario decks and more useful than another keynote about disruption.