Banche e FinTech
Relatori che navigano lo scontro tra la finanza tradizionale, l’innovazione digitale e il futuro del denaro
Speakers Associates represents 64 speakers on Banche e FinTech, including Stephen Foerster, Arunjay Katakam, Rodney Williams, Omar Christidis, Sheena Allen, Cheryl Campos, Brett King, Confidence Staveley, Ashlea Atigolo, e Elemi Atigolo.
Boards are being asked to make large, irreversible bets on AI while the rules governing it are still being written. The people drafting those rules, and the people deploying the technology, rarely sit in the same room. Without a translator between Westminster, Silicon Roundabout and the executive committee, firms either over-invest in the wrong guardrails or under-invest and wait for enforcement to find them.
Most bank digital transformation programmes are redesigning customer interfaces, not the structural model underneath. The real question is whether a bank retains a meaningful role when AI manages financial decisions autonomously on the customer’s behalf. Boards that cannot answer that question are investing in the wrong conversation.
Most large banks know their operating model was not built for the speed of modern technology. The harder question is not whether to innovate but how: when to build, when to partner with a startup, when to buy, and how to make any of that stick inside a regulated balance sheet. Leaders need honest answers from people who have sat on both sides of that table.
Cybersecurity has moved from a technical function to a board-level exposure, but most organisations still talk about it in language only the security team understands. The result is decisions made on incomplete information, regulators losing patience, and digital trust eroding faster than it can be rebuilt. Closing that gap requires translators who can hold technical authority and commercial clarity in the same room.
The economic consensus that boards use to stress-test strategy has repeatedly failed at the moments it mattered most. Monetary instability, geopolitical fracture, and trade nationalism are precisely the forces that institutional forecasting tends to underestimate. Organisations that can read these structural dynamics before the consensus does consistently make better decisions at inflection points.
Global economic governance is structurally misaligned with the pace of modern capital markets. National governments retain fiscal and monetary levers but have limited control over the cross-border flows that increasingly determine outcomes. When a sovereign debt crisis or currency shock spreads, the institutions designed to respond are slower, more politically constrained, and more contested than most boards assume.
Financial firms are under pressure to put generative and agentic AI into regulated work without breaching rules, losing trust, or building tools advisers ignore. Most boards can describe the opportunity; far fewer can describe the operating model, the controls, or where an agent stops helping and becomes a liability. The gap between AI ambition and deployment that creates value without eroding the business model is where most programmes stall.
Financial stress is one of the largest unmeasured drags on workforce performance, and it lands disproportionately on women. Employers invest heavily in wellbeing, pay equity and inclusion, yet the money conversation itself remains taboo inside most organisations. The gap shows up in retention, confidence, promotion readiness and who puts their hand up for the next stretch role.
Boards and investment committees are awash in forecasts, narratives and active-management pitches, yet the empirical record on whether any of it reliably beats the market is brutal. Leaders responsible for pensions, endowments and corporate capital need a disciplined way to separate what the evidence actually supports from what sounds persuasive in a meeting. The cost of getting that wrong compounds silently over decades.
Boards now have to make capital decisions inside a monetary regime they no longer understand. Rates moved further and faster than most strategy decks were built to absorb, and the eurozone’s political fault lines have not closed. Leaders need a working read on how central banks actually decide, not a commentary on what they did last quarter.
Economic forecasts fail not because the data was wrong, but because the cultural assumptions shaping the analysis were invisible. Reading markets through numbers alone consistently misreads the human dynamics that move prices, shape policy, and generate systemic risk. The harder question is not what the data shows – it is what the cultural frameworks inside your organisation prevent you from seeing.
Boards in regulated financial institutions spend considerable effort understanding the rules. Far fewer invest in understanding how those rules are made – which governments want from regulation, how supervisors respond to political pressure, and why the framework changes when markets or politics demand it. That gap in understanding is where governance failures typically begin. A board that treats regulation as a fixed constraint, rather than a dynamic political process, will always be reactive.