Inteligência Artificial e IA Generativa
Oradores que descodificam o impacto real da inteligência artificial em indústrias, força de trabalho e vantagem competitiva
Speakers Associates represents 355 speakers on Inteligência Artificial e IA Generativa, including Kemal Apaydin, Olivier Sibony, Rahaf Harfoush, Purna Virji, Itai Green, Limor Ziv, Tom Goodwin, Daniel Trabucchi & Tommaso Buganza, Katja Schipperheijn e Diana Verde Nieto.
Leadership teams can see the signals of disruption. They cannot agree on what those signals mean for the business, or act on them at the pace the market demands. The gap between foresight and organisational response is where strategy stalls, culture fractures, and customer relevance erodes.
Most main-stage events are won or lost in the first ten minutes of hosting. The audience decides whether the day will feel sharp or laboured before any keynote begins. Buyers need a host who can hold the room, handle live changes without visible strain, and translate technical material for a mixed audience without flattening it.
Organisations mandate collaboration but reward individual performance. The rituals of teamwork accumulate – meetings, dotted lines, away-days – while the architecture for genuine collective effort is never built. When AI absorbs the procedural work that once defined authority, leaders whose influence rests on expertise and control find themselves exposed.
Boards understand cybersecurity as a compliance line item. They do not understand it as an active counterintelligence problem, where adversaries study the organisation, build trust with employees, and move on patient timelines. The same psychological playbook now drives AI-generated deepfakes, voice cloning and synthetic identity attacks against finance teams, executives and supply chains.
Most large companies still treat innovation as a creative event rather than a managed discipline. The teams shipping new products lack the metrics, governance, and decision rules that the core business takes for granted, so good ideas stall and bad ones consume capital for too long. Growth then depends on individual heroics instead of a repeatable system.
AI now drafts the email, summarises the meeting and proposes the decision before anyone has finished thinking. The danger for most organisations has flipped. Speed used to be the constraint. The new risk is moving fast on autopilot, quietly handing judgment to tools built only to assist it. What senior leaders want is for their people to keep thinking and deciding well as the tools accelerate.
Technology is getting more capable faster than the people using it are getting more skilled. Most digital products are designed for efficiency, not for the human nervous system, and the gap shows up in fatigue, disengagement and shallow adoption. The question for leaders is no longer how to deploy AI faster, but how to design it so people actually want to live with it.
Most boards still treat cyber security as a control function, owned by IT, reviewed quarterly, signed off through a risk register. The people actually breaking into banks and government buildings know that the organisation’s real exposure is rarely in the firewall configuration. It is in the receptionist who holds the door, the contractor badge that nobody checks, and the gap between the security policy on paper and the behaviour on the floor.
Most organisations have announced AI strategies that their non-technical employees cannot act on. Adoption stalls not because the tools are inadequate but because the majority of the workforce has no framework for integrating AI into the work they actually do. Leaders are caught between a small group of early adopters running unsupervised and a larger group that has quietly opted out, and neither is being served by communications built for engineers.
Creative output is the most unmanageable input most organisations rely on. Brand teams, product groups and content functions are asked to produce cultural relevance on demand, and the people inside them often cannot say why a given idea worked or how to repeat it. The gap between “we need a moment” and the practical craft of building one is where most marketing budgets quietly disappear.
Most organisations treat innovation as a priority but cannot describe how they actually produce new ideas. Creative output is attributed to talented individuals rather than to any system or practice that can be replicated across teams. When demand for competitive differentiation intensifies, companies find they have no reliable mechanism for generating the ideas they need.
Most strategy processes are built for a stable horizon. They forecast from the recent past and break down when the underlying drivers, AI capability, energy systems, demographics, shift faster than the cycle they were designed to track. Leaders need a way to think rigorously about what is actually changing, ten and twenty years out, without sliding into either denial or hype.