Set optimal pricing for land, building, and rental assets with aggregated datasets, and anticipate fluctuations with continuously updating pricing models.
Reduce vacancy periods by proactively identifying causes of churn, and assess amenity use and in-person connection a tenant has with the space.
Identify valuable acquisition targets and assets with high-profit potential by analyzing multiple data sources, including occupancy rates, construction delays, seasonal availability, and price shifts.
Address the push to net-zero by incorporating smart energy insights into construction plans. Predict seasonal changes in energy use and identify common maintenance issues for pre-emptive action.
AI analytics helps major banks stay connected to their customers – especially during the dramatic rise of online financial management use. As leading banks apply a range of strategies to navigate the new normal, AI analytics is opening greenfield opportunities to raise profits, combined with agility and ethical responsibility.
Nearly all existing models have been invalidated by the coronavirus pandemic. They will presumably be invalidated again as the situation evolves as the world recovers. Even after recovery, it is unlikely that we will return to where we started before the crisis began. So how does that affect our data models?