View RALI news and insights to keep up to date with the latest on trend developments relating to future leadership capability and experience requirements and the future world of work.
About 35% of current jobs in the UK are at high risk of computerisation over the following 20 years, according to a study by researchers at Oxford University and Deloitte. Go to http://www.bbc.co.uk/news/technology-34066941 and type your job title into the search box below to find out the likelihood that it could be automated within the …
New research shows that organizations undergoing AI transformation succeed not by adopting one “best” operating model, but by making intentional design choices and executing them effectively.
The National Nuclear Security Administration’s CIO shares that modernization means rebuilding infrastructure, data, and talent at once—while keeping the mission and a relentless pace of change in mind.
People are at the heart of any technology transformation. Leading organizations are making changes now to help their talent—and their digital workers—thrive side by side.
At their core, AI transformations are a reinvention of how work gets done. This requires change leadership, not just change management.
As AI costs spiral, CIOs need to manage enterprise AI demand to optimize for outcomes, not just cost.
AI can help public sector agencies improve outcomes for residents and make every taxpayer dollar go further. But realizing that potential requires moving beyond experimentation and rewiring how services are delivered.
Most skills will still be needed—but how people use them will change as they work alongside intelligent machines.
Per-token pricing has stopped being a useful measure for what enterprises actually pay for gen AI. A conversation with David Tepper, CEO of Pay-i, delves into the new economics of measurement.
Most organizations are still early in their AI journeys. A new global survey reveals how companies can progress from individual adoption to enterprise-wide value capture.
