What will shape the real estate and mortgage landscape by 2026? If you work in data analysis, real estate, lending, or insurance, or if you’re building solutions in PropTech, you’re probably asking this every quarter.
But while access to vast pools of property and mortgage data has become easier than ever, understanding precisely what legal, finance, and proptech teams actually require in their real estate data...
Real estate data aggregation often comes down to one challenge: unifying deeds, parcels, listings, and permits into a clean, duplicate-free dataset.
AI has moved beyond experimentation and is now shaping decisions in lending, insurance, real estate, and property technology.
Artificial intelligence is expanding at an unprecedented pace, but only organizations with the right data foundation are positioned to capture its full value.
Artificial intelligence promises speed, scale, and smarter decision-making - but even the most advanced algorithms can fail when the data behind them introduces bias.
Artificial intelligence promises speed, precision, and automation - but those outcomes depend on one critical factor: data quality.
No matter how advanced an algorithm may be, messy or inconsistent data can derail results before a model even begins to learn.
Fannie Mae recently took a look at housing market growth and made a few predictions for how the rest of 2022 going into 2023 will unfold, let’s take a...
As we enter the third quarter of 2022, it’s time to look back and analyze how the second quarter rounded out. Recently, the Mortgage Bankers Association dove into the...