RLB connects with Multiverse to launch Data & AI Transformation Academy
Rider Levett Bucknall (RLB) has partnered with Multiverse to launch a Data & AI Transformation Academy to equip employees with advanced digital and data skills.
The program is part of RLB’s effort to address the growing importance of data analytics and AI in the construction industry and enhance client service delivery.
Multiverse, a tech company focused on workplace learning, will deliver personalized training programs to RLB employees across the UK and Europe. These include the 13-month ‘AI for Business Value’ program and the Data Fellowship, a Level 4 apprenticeship, which provide hands-on experience in AI applications and business intelligence tools.
Matt Sharp, Chief Digital Officer at RLB, commented:
“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.”
Participants will come from teams including cost management, sustainability, project management, and built asset consultancy.
Susan Nelson, Digital Change and Adoption Manager at RLB, emphasized the role of the academy in fostering a data-focused culture:
“By launching this program, 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.”
The academy will operate as an ongoing initiative, with new cohorts joining every six months to ensure employees are equipped to address rapidly changing technology and industry needs.
Gary Eimerman, Chief Learning Officer at Multiverse, highlighted the importance of addressing skills gaps in the construction sector:
“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.”
