Expert insights
Generative AI promises to transform software delivery, but where does it create measurable value in practice? Is the reality as impressive as the hype? NashTech's trial of generative AI in software development reveals where GenAI accelerated productivity, improved quality and delivered the greatest impact for development teams.
The reality of productivity gains
Accelerating software testing.
Improving code quality
Lessons from live client delivery
Building a successful adoption strategy
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If you need a software development company to provide expert engineers and developers to support your in-house team, we can do that. But what makes NashTech different is that we are a partner who understands your business.
We challenge assumptions, translate complexity into clear decisions and connect technology to real outcomes. Whether you’re building new products or transforming existing systems, we help you move forward with total confidence.
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Insights
Machine learning (ML) models are only as good as the data that trains them. High-quality, well-organised, and accurately labelled data is the foundation of successful ML projects. However, preparing this data in-house often takes significant time and puts a strain on resources, making it an expensive and challenging task for many teams.
As generative AI and agentic technologies rapidly reshape the software development landscape, organisations are under pressure to move beyond experimentation and into true, scalable adoption.
AI and generative AI (GenAI) have shaken up the education sector. University staff are using it to draft course pages, students are leaning on it for explanations, and professional services teams are testing it out for student queries, automated workflows and gaining efficiencies.
Insights from the Ministry of Defence’s ‘Do different, do better: AI in action’ webinar, supported by NashTech
