Inclusion starts here
At NashTech, we create an environment where people feel they belong, where diversity, equity and inclusion (DEI) are integral to our culture. We believe great technology starts with diverse thinking. That’s why we’re building an inclusive culture where every voice is heard, every perspective matters and everyone can grow and succeed.
At our core
Our actions
Our diversity promise is delivered through multiple actions, including:
Providing diversity and inclusion training to all our colleagues so that we all keep learning and growing.
Building diverse teams across all our geographies enabling us to draw on the variety of experiences, skills and talent.
Working with key partners and charitable organisations including 'Workplace Pride' and 'Inclusive Employers' to keep improving.
Measuring sentiment across the organisation through our annual employee engagement survey and giving people a voice so that we can listen and act on that feedback.
Providing a safe environment for our colleagues to connect, share ideas, educate and influence visibility through our employee resource groups.
Reporting globally on our gender split and implementing actions to support improvements at a senior level through balanced shortlists, talent programmes and mentoring.
Provide an inclusive environment where employees' differences are valued, voices and opinions are heard and considered. A workplace that makes our employees feel accepted and respected.
Insights
AI pilots often fail to move into production because they are not tied to the right business problems, lack governance structures that give leaders confidence to scale or fail to prove value in board-level terms. To move beyond experimentation, technology leaders need to map AI opportunities to measurable outcomes, build governance into the programme from the start and create a commercially credible case for production.
AI initiatives often stall at pilot stage because organisations try to scale before the foundations are ready. In part one of this two-part series, we explore three common barriers: Data that is not AI-ready Limited internal AI expertise Integration debt that prevents AI from connecting with the wider business. The takeaway for technology leaders is that moving from pilot to production requires sustained investment in data, capability and connected technology foundations.
Why logistics leaders don't need more technology. They need the right technology. Logistics has never been short of pressure to innovate. Rising customer expectations, tighter margins, supply chain disruption and increasingly complex operations have made technology essential to staying competitive.
.jpg?width=1500&height=813&name=Article%20banner_Q%26A%20with%20Mark%20-%20Insurance%20(1).jpg)
Across the insurance industry, AI adoption is no longer theoretical. Most organisations are already investing, experimenting or deploying use cases across underwriting, claims and customer experience.
