I joined Sopra Steria in May 2024 to lead the UK Data and AI Practice. My role is to partner with our customers to deliver efficient, ethical data and AI solutions and services, as industry and government transform their organisations through the adoption of AI.
My days are never the same: I spend my time meeting customers, discussing opportunities with our business development teams, reading up on the latest developments in the market and spending time with fellow Sopra Steria employees across different business sectors and geographies.
My days are never the same: I spend my time meeting customers, discussing opportunities with our business development teams, reading up on the latest developments in the market and spending time with fellow Sopra Steria employees across different business sectors and geographies.
What is your background and what was your pathway into the technology sector?
I have worked in a variety of industries and roles during my career, always with a focus on generating business value from technology. Prior to Sopra Steria, I spent four years as Futures Director at Roke leading a technology and AI business. I spent 11 years at Siemens Rail in a variety of leadership roles including business development, strategy, transformation and IT, and have led technology transformation programmes at the BBC. It’s been an exciting journey so far!
What do you see as the main challenges facing organisations today when it comes to adopting AI?
One of the biggest challenges is identifying when to use AI. AI isn’t the answer to everything, so targeting those use cases where AI technology can make a real difference is key. It’s about engaging with the right people in your organisation who understand the current processes, data and restrictions and working with them to identify where to focus, as well as using trained experts who can help identify quick wins and avoid painful pitfalls as early as possible. Another challenge is having access to the right data to use AI effectively. With ever-increasing volumes and complexity of data, organisations need to make sure their data is ready for AI – rectifying this if it’s not is an essential investment to unlock fast and effective deployment of AI in the future. Organisations also need to remain focused on their people. AI might make some of their staff anxious about the future, so this needs to be addressed directly – it has the potential to generate huge improvements in employee productivity and work satisfaction, if managed and communicated correctly.