Rider Levett Bucknall (RLB) joined forces 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 efforts to address the growing importance of data analytics and AI in the construction industry and improve service delivery to clients.
Multiverse, a technology company focused on workplace learning, will deliver personalized training programs to RLB employees in the UK and Europe. These include the 13-month AI for Business Value program and the Data Fellowship, a Level 4 apprenticeship, which provides hands-on experience with AI applications and business intelligence tools.
Matt Sharp, Chief Digital Officer at RLB, commented:
“This academy lays the foundations for transforming the skills of our team and providing services to our clients. As our business, projects, customers and industry undergo significant digital and data transformation, it is essential that we equip our people with the necessary digital and data skills.
“With more data at our disposal, RLB needs people 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, Head of Digital Change and Adoption at RLB, highlighted the academy’s role in fostering a data-centric culture:
“By launching this program, we are building a data-driven culture. This will drive digital innovation and agility, preparing our team to shape the future of construction and property management consulting.
The academy will operate as an ongoing initiative, with new cohorts joining every six months to ensure employees are equipped to meet rapidly evolving technology and industry needs.
Gary Eimerman, Director of Apprenticeship at Multiverse, highlighted the importance of closing skills gaps in the construction sector:
“RLB is consolidating its position as a pioneer in the sector by equipping its employees with tools essential to business efficiency. Our research shows that the construction sector faces a data skills gap. Closing will have a profound impact, accelerating project timelines and reducing errors; even helping to better measure and improve the sustainability of construction projects.
