Webinar
One AI Strategy, Different Skills: Building Capability Across Your Workforce
Why organisations need different AI and data training approaches across leadership, technical specialists and the wider workforce.
Webinar details
As organisations invest in AI, building the right workforce capabilities is becoming just as important as adopting the technology itself. But while AI and data skills are increasingly relevant across the business, not every employee needs the same level of knowledge or expertise.
The skills required to lead AI transformation are different from those needed to identify automation opportunities, develop AI solutions or use AI and data confidently in everyday work. Taking a one-size-fits-all approach to training can leave organisations with capability gaps that limit adoption and business impact.
So how can organisations identify the right skills for different roles, and develop a training strategy that connects them?
In this joint webinar, experts from Cambridge Spark UK and Cambridge Spark España will explore how organisations can build AI and data capabilities across four workforce groups: Citizens, Translators, Experts and Leaders.
We'll discuss why different roles require different learning pathways, how AI and data skills complement one another, and how organisations can take a more coordinated approach to workforce development.
Why Attend?
Attend this session to understand why effective AI upskilling requires more than providing the same training to everyone.
You'll gain a clearer understanding of the different capabilities needed across an organisation, from foundational AI and data literacy to business-focused AI application, technical expertise and strategic leadership.
We'll also explore how organisations can identify capability gaps, prioritise training investments and develop learning pathways aligned with their business objectives.
Agenda:
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Why one AI training approach isn't enough: Exploring why different roles require different levels of AI and data knowledge, and the challenges organisations face when workforce capabilities develop unevenly.
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Four workforce groups, different capability needs: Understanding the roles of Citizens, Translators, Experts and Leaders, and how each contributes to successful AI transformation.
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Connecting AI and data capabilities: Exploring why AI literacy, analytical skills, data engineering and specialist AI expertise need to develop together.
- Building the right learning pathways: Discussing how organisations can match training to different workforce needs, with examples of how Cambridge Spark's learning solutions support capability development across roles.
- Turning training into business impact: Considering how organisations can identify skills gaps, prioritise development and connect learning to real business challenges and measurable outcomes.
Watch this webinar if you are:
Watch this webinar if you are:
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An HR, L&D or Talent Development Leader responsible for developing AI and data skills across the workforce.
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A Chief People Officer or Workforce Transformation Leader exploring how to prepare employees for AI-driven changes.
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A Data, AI or Digital Leader looking to build the workforce capabilities needed to support AI adoption and transformation.
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A Business or Operational Leader seeking to identify the right AI training opportunities for different teams.
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A Technology or Engineering Leader responsible for developing specialist technical capabilities alongside wider organisational AI literacy.
- A Senior Decision-Maker looking to align workforce development with long-term AI strategy and business priorities.