Innovation et disruption
Des conférenciers qui examinent comment les industries se réinventent et comment les organisations peuvent piloter plutôt que subir le changement
Speakers Associates represents 390 speakers on Innovation et disruption, including Kemal Apaydin, Michael Lyon, Peter Fisk, Neri Karra Sillaman, Mark Stevenson, Nilofer Merchant, Itai Green, Lucy Bullivant, Rita McGrath, et Katja Schipperheijn.
Most sustainability strategies are built around sacrifice – and that is why they stall. Organisations routinely treat environmental and social goals as constraints to satisfy, not as design inputs. The result is buildings, workplaces, and cities that are technically compliant but commercially and experientially ordinary.
Autonomous systems, from self-driving vehicles to generative AI, are moving from lab to revenue faster than most boards can absorb. The strategic question is no longer whether the technology works. It is which timelines are real, which are marketing, and which regulatory and civil-liberties fights will decide who gets to deploy at scale.
Most organisations treat creativity as a culture problem, then complain that nothing ships. The harder question is operational: how do creative teams stay productive at scale, and how do leaders translate abstract ideas into experiences that actually move people. That gap, between intent and execution, is where most innovation programmes lose the thread.
Banking, payments and customer trust are being rewritten by code, and most incumbent institutions are still organising around branches, products and quarterly earnings. Boards know the platform players, embedded finance and AI agents are reshaping the economics of the industry. The strategic question is how far to push, how fast, and what kind of institution remains on the other side.
Most large organisations have run AI pilots. Very few have moved them into operating reality. The gap is rarely about the technology. It is about governance, internal capability, legacy stacks and the absence of senior leaders who can credibly translate AI from a vendor pitch into a portfolio of operational bets.
Every executive team is being asked to deploy AI faster than their governance can keep up. The harder question, which boards now own, is which use cases should be refused. Bias inside the models is not the only risk; the bigger one is shipping systems into contexts where the cost of being wrong is borne by people the organisation cannot see.
Organisations invest heavily in understanding technology trends, yet most briefings start with the applications and skip the science behind them. The result is leaders who can name the tool but cannot reason about where it leads. Quantum computing, space-based infrastructure, and AI all rest on physical principles that reward first-principles thinking – and penalise those who lack it.
Blockchain and digital currency have moved from curiosity to board-level question, and most executives still cannot separate the credible use cases from the noise. Regulators are writing rules in real time, and early decisions about custody, tokenisation, and settlement will shape cost structures for a decade. Leaders need a translator who has sat on both sides of the table, inside government and inside the research lab.
Most incentive systems reward speed and individual credit: the exact qualities that undermine genuine collaboration. When teams know that recognition goes to whoever announces first, patience and rigour become competitive disadvantages. The organisations that claim to want bold innovation are often the ones that have inadvertently designed against it.
Most incumbents still treat digital as a function, not a structural reset of how the business competes. Boards then find themselves asking a chair or CEO to run two operating models at once, one built for the company they inherited, one built for the company the market now demands. Governance, leadership style, and commercial instinct all have to move at the same time, and few leaders have done it at scale.
Most large organisations are reacting to AI and digital disruption, not directing it. Leadership teams know the operating model needs to change but keep funding incremental programmes that preserve the status quo. The harder question is how to spot the shifts that matter, get the company aligned around them, and turn innovation from theatre into a measurable change in how the business runs.
Most organisations approach customer loyalty as a communications challenge. The enterprises with the most enduring audiences have built something different: an operating culture in which consistent, distinctive delivery makes them genuinely difficult to replace. The gap between an organisation that talks about loyalty and one that structurally produces it is rarely found in the marketing function.