Niftylift has launched MyNifty, a machine-specific online support hub that consolidates manuals, technical documentation, error code lookup, cage overload override reset codes and NiftyPRO video guidance into a single portal. Operators, hire companies and service technicians can access a dedicated page for each model by scanning a QR code on the serial plate or entering the serial number via the Niftylift website, using any mobile device. Most machines in current service already carry QR-coded plates, while older units can be brought into the system through a serial-number QR search tool.

A New Civil Engineer webinar examines how the rapid spread of BIM, CDEs and asset management platforms on major infrastructure schemes is creating a looming “data handover gap” at project close-out. Speakers focus on integrating design, construction and O&M datasets into a single, validated asset information model that meets ISO 19650 requirements rather than leaving owners with fragmented PDFs, native models and sensor feeds. For geotechnical and civil teams, the discussion stresses early definition of data schemas for ground models, as-built records and inspection regimes to avoid costly rework at commissioning.

WSP’s AI specialists describe deploying machine learning tools across UK infrastructure portfolios to cut manual inspection and analysis time for engineers. Applications include automated defect detection on large image datasets from bridge and tunnel surveys, and predictive maintenance models that flag high‑risk assets before failure using historic condition, loading and environmental data. The approach is being embedded into WSP’s digital asset management workflows, raising questions for practitioners about data quality, model validation and how to integrate AI outputs into existing inspection and safety regimes.