Leading built environment consultant, Rider Levett Bucknall (RLB) UK & Europe has launched a Data & AI Transformation Academy, designed to digitally upskill its team and leverage innovative data solutions, providing an enhanced service offering to clients.
Established to reinforce RLB’s positioning as a leader in data-driven construction consultancy by harnessing the power of data analytics and research, this academy plans to offer a continuous learning programme to RLB employees across the UK and Europe. RLB will look to launch additional cohorts every six months to maximise impact for clients in the face of rapidly changing technology.
RLB has partnered with tech leader, Multiverse, which provides personalised, on-the-job learning. RLB’s academy features programmes like the 13-month ‘AI for Business Value’ programme, and the Data Fellowship, a level 4 apprenticeship programme. Learners will gain hands-on training in AI implementation and business intelligence tools, fostering a future-ready, data fluent culture, with apprentices taking part from teams including cost management, sustainability, built asset consultancy and project management.
Matt Sharp, Chief Digital Officer at RLB said:
“This academy lays the foundation for transforming the skills of our team and the service offering to our clients. As our business, projects, clients, and industry undergo significant digital and data transformation, it is crucial that we equip our people with the necessary digital and data skills. With more data at our disposal, RLB needs individuals who can unlock its potential and tell compelling stories through data.”
Susan Nelson, Digital Change and Adoption Manager at RLB said:
“By launching this programme, we’re building a data-fluent culture. This will drive digital innovation and agility, preparing our team to shape the future of construction and property management consultancy.”
Gary Eimerman, Chief Learning Officer at Multiverse said:
“RLB is cementing its position as a sector pioneer by equipping employees with vital business efficiency tools. Our research shows that the construction industry struggles with a data skills gap. Closing this will have a profound impact, accelerating project timelines and reducing errors; even helping to better measure and improve the sustainability of building projects.”
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