Leading transformation in an always-on technology landscape
Business

Leading transformation in an always-on technology landscape

SomoEventFinder

Date

mar. 19 mai

Heure

07:30 - 10:00

Prix

Free

À propos de l'événement

Transformation without end: Leading in an always-on technology landscape.
Technology-led transformation no longer happens in defined programmes with a clear end state. It is continuous, overlapping, and increasingly embedded into the day-to-day running of the business.
Cloud, platforms, data, automation and AI are all progressing simultaneously. Releases are smaller, faster, and more frequent. For many organisations, transformation is no longer a phase - it is the operating model.
This creates a new set of leadership challenges.
How do you sustain momentum when change never stops?
How do you keep the business engaged through constant delivery?
How do you demonstrate value before the “end” - when there is no clear finish line?
This session brings together senior transformation leaders from across industries to explore how they are navigating this reality in practice.
We will focus on four key areas:
Navigating continuous transformation
Understanding how organisations are managing multiple, concurrent technology initiatives and the shift from large programmes to iterative delivery.
Sustaining engagement in constant change
How leaders are addressing change fatigue, driving adoption, and maintaining momentum across ongoing releases.
Articulating value in an ongoing journey
Making progress tangible, demonstrating impact early, and maintaining credibility across long transformation horizons.
Defining transformation in different contexts
Exploring how transformation is framed across organisations with varying levels of maturity, structure, and ambition.
This is a closed, peer-level discussion for senior leaders accountable for enterprise or technology transformation. The group will bring together perspectives from across financial services, retail, technology, energy, transport and the public sector - creating a broader, more transferable view of what works.

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