Revolutionizing PayPal: The Largest Atlassian Cloud Migration in History
PayPal, a global leader in online payments, faced significant challenges with their existing infrastructure, which…
Explore practical insights, strategic POVs, and emerging trends from the team driving enterprise transformation forward.
Scaling enterprise AI starts with a narrower first step. Learn how transformation leaders prove a Minimum Viable Operating Model, govern at the speed of change, and scale it into an enterprise-wide Target Operating Model.
An AI-first operating model changes how work is performed, governed, and improved. Explore the three shifts that extend the digital foundation and the six dimensions that must work as one system.
AI is evolving faster than traditional training can keep up. Learn why L&D has become a bottleneck in AI transformation and how continuous, role-based learning built into daily work helps enterprises build AI capability at speed.
INRY deployed ServiceNow EmployeeWorks in six weeks, replacing its legacy portal with a single AI front door. The result was 60% faster request submissions and a 97% completion rate. Now it's bringing the same results to clients.
88% of enterprises use AI, yet only 39% report any EBIT impact. Discover why the AI adoption gap is a workflow redesign problem, not a technology one, and what it means for transformation leaders.
Shadow AI is usually treated as a security problem, but it's really a trust problem. When employees bypass approved AI tools, it's rarely to break the rules, it's to escape friction. Here's why enterprise AI governance fails when it focuses on control instead of trust, and what leaders can do to close the gap between how they govern AI and how their people actually work.
More AI pilots don't equal more business value. As initiatives multiply across departments without coordination, enterprises face AI portfolio sprawl, a hidden drag on capacity and clarity. Discover why operating discipline, not technology selection, determines which organizations turn AI experimentation into measurable results.
More AI pilots don't equal more business value. As initiatives multiply across departments without coordination, enterprises face AI portfolio sprawl, a hidden drag on capacity and clarity. Discover why operating discipline, not technology selection, determines which organizations turn AI experimentation into measurable results.
Transformation fatigue isn't resistance to change, it's the result of repeated resets. Learn how continuity, reinforcement, and leadership build lasting performance confidence.