Problem Statement 1: How might we use AI to better predict when the next engine/machine fault is likely to happen?

Winner: DataVLT 
https://www.datavlt.com 
DataVLT provides the outsource solution crucial to kickstarting the artificial intelligence and data journey – accessible and affordable data processing, integration and analytics to intelligence capabilities.

Problem Statement 2: How might we use AI to improve inspection of facility or equipment which could be hard to reach or unsafe for humans?

Winner: WaveScan
www.wavescan.sg
First-of-kind, non-contact, see through scanning technology building upon a decade long R&D within A*STAR. Together with our automation partners (drones/UGVs/Cobots), we provide an end-to-end AI-enabled asset inspection solution, addressing the specific needs of marine & off-shore, aerospace & built environment sectors.

Problem Statement 3: How might we use AI to improve tracking of shipment and simulate the actual movement of goods from manufacturer to consumer?

Winner: Quincus
www.quincus.com
Quincus focuses on large enterprise slutions for airline, logistics providers, Port and Shipping operators, eCommerce and FMCG. Quincus Ground, Air, Port is supported by our unique GeoEngine and LogisticsEngine that allow for finding locations 25% more accurately and decreasing final costs by over 20%.