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Our experts share new insights and respond directly to your questions during each 60-minute session. Interested in a topic but not sure you can attend? All registrants also receive access to the on-demand recording following the event.
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The AI value gap: Adoption everywhere, value TBD
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Tuesday, 20 Oct 10-11 a.m. EDT / 3-4 p.m. BST
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Nearly every large company now uses AI, yet almost none are seeing its impact in earnings. This is not a technological gap, but an organizational one. Join
Ana Paula Guimarães,
Robert Levin, and
José Pimenta da Gama as they discuss how leaders can reshape their organizations around AI—defining the operating model, enablers, and executive discipline needed to drive real and lasting value from AI.
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Building an always-on strategy
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Tuesday, 27 Oct 10-11 a.m. EDT / 3-4 p.m. BST
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In an increasingly dynamic environment, winners are moving from periodic analysis to continuous, value-focused decision making. Join
Matt Banholzer,
Sebastien Lacroix, and
Peter Stumpner as they explore how to bring together trusted data, business expertise, AI, analytics, and new ways of working - to help leadership teams see strategic risks and opportunities earlier, understand where value is being created or lost, and act quickly as conditions change.
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Fighting fear during transformation
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Wednesday, 28 Oct 10-11 a.m. EDT / 3-4 p.m. BST
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Most transformations stall not on strategy, but on fear — of failing, of rules that keep changing, and of what change means for who a leader is. It's often unspoken, even unconscious, and AI has only intensified it. Join
David Pralong and
Aaron De Smet to explore how fear can quietly hold back a transformation, and how the best leaders convert it into energy, momentum, and a catalyst for bold change.
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Tuesday, 3 Nov 10-11 a.m. EST / 3-4 p.m. GMT
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Artificial intelligence is profoundly reshaping the M&A landscape, driving deal activity and creating unprecedented value. Join
Benjamin Houssard and
Alex Liu to explore how AI can help drive deal volume, unlock more synergies, and accelerate deal cycles. They will also examine the key archetypes of AI-related acquisitions and the strategic imperatives for leaders to build an AI-ready M&A engine.
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Leading through continuous transition and disruption
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Tuesday, 1 Dec 11 a.m. - noon EST / 4-5 p.m. GMT
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The world is becoming harder to predict while the stakes of leadership decisions continue to rise. Join
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Julia McClatchy, and
Whitney Zimmerman as they explore how leaders can create clarity and conviction in uncertainty and turn disruption into an opportunity to shape what comes next. They will also discuss four imperatives for leading in this environment that can help leaders move with confidence while remaining adaptable as the facts change.
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Stress-testing strategy: AI-driven competitive simulation
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Tuesday, 8 Dec 10-11 a.m. EST / 3-4 p.m. GMT
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The speed of market shifts demands a new way to pressure-test strategy. AI is transforming business war games, enabling leaders to simulate live moves and countermoves by competitors, customers, and regulators under varying market conditions. Join
Bruce Delteil and
Antoine Montard to discover how AI agents bring strategic scenarios to life—showing how unexpected disruptions impact margins, revenue, and market share, and how leaders can stress-test their strategic choices before taking them to market and also build the agility to respond with conviction.
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The imperative to embrace the strategy moment
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In this session, we discuss why and how to address this critical strategy moment.
Carolyn Dewar,
Marcus Jacob, and
Laura LaBerge explore the changing basis of competitive advantage, how long-held assumptions are being rewritten, and why strategic choices have become more foundational and consequential.
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Spotlight on
why CEOs will determine who wins with AI
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AI’s biggest constraint may no longer be technology—it is CEO ambition and organizational design. While 89% of organizations now use AI in at least one function, only about 6% qualify as high performers generating significant earnings impact, exposing a widening gap between adoption and value creation. The strategic imperative is to move beyond dispersed pilots and concentrate investment on two or three domains where AI can fundamentally reshape economics, growth, and competitive advantage.
As explored in our
article, durable differentiation will come less from widely available models than from proprietary data, decision logic, institutional learning, and faster feedback loops. CEOs must personally drive this shift—reallocating capital, redesigning work around human–AI teams, and creating a culture that rewards experimentation and learning. The winners will use productivity gains to fund growth and continuously reinvent their competitive edge.
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From the frontlines: How to ensure accurate financial metrics in the age of AI
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“We asked four general-purpose large language models (LLMs) 87 questions about company financials, repeated each question several times, and compared the results with those from McKinsey Value Intelligence (MVI), our vetted and deterministic single source of truth for corporate financial metrics.
For simple lookups of uncalculated numerical metrics, the LLMs landed close to our vetted values roughly 60 to 75 percent of the time. For calculated financial metrics, they returned the expected value less than 50 percent of the time, and often less frequently.
Our insight is that a financial metric derived without transparency and determinism is unlikely to be useful. To be trusted, calculated metrics require a stated definition, a source hierarchy, and an audit trail.”
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Vartika Gupta
Senior Asset Leader, New York
Follow Vartika on
LinkedIn
For more on the importance of reliable, deterministic financial data in an AI-enabled world, please see our latest edition of
The Valuation Practitioner.
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Watch our on-demand webcast on how strategy creates value
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