A Workforce and Employability Experience Shaped by AI

| minute read

Moving beyond automation and productivity gains, the conversation examines AI’s impact on skills, employability, workforce planning, recruitment, fairness, inclusion and human potential. Drawing on their real-world experience, the panel share practical, human-centred insights into what AI is already changing in the workplace and what these developments mean for employers, candidates and employees alike.

About the speakers

Alison is a strategic digital communications and marketing professional with a deep interest in podcasting. She loves meeting contributors and really getting to the heart of the subject matter in an accessible and engaging way. 

She has worked in complex commercial, matrix and public sector organisations (including government, financial services, transport and policing), so has plenty of subjects for discussion in mind!  

Nick has almost 30 years’ experience helping design recruitment solutions that help bridge the gap between (predominantly public sector) employers and jobseekers.  

Nick’s experience is mostly in the recruitment industry but also included an insightful spell in social enterprise and employability. Since joining Sopra Steria just over five years ago, digital tools have become integral to that solution design as we help our customers secure better talent, faster, fairer and more cost effectively.

Naomi has over 10 years’ experience helping organisations build the skills, capabilities and ways of working needed to adapt and succeed through change. Her experience spans organisational effectiveness, learning and workforce transformation, with a focus on connecting people strategy to changing business needs.

Since joining Sopra Steria, Naomi has led programmes focused on future skills, career development and preparing colleagues for the changing world of work. As AI and digital transformation reshape organisations, her focus is on helping people and businesses build the confidence, capability and adaptability needed for the future.

 

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