by Iszabella Hazard | Jan 15, 2026 | Blog
When professionals talk about real estate data aggregation, they almost always hit one common pain point: how to combine sprawling, decentralized datasets (think deeds, parcels, listings, and permits) into a clean, unified, and reliable resource without introducing...
by Iszabella Hazard | Dec 12, 2025 | Blog
AI has moved beyond experimentation and is now shaping decisions in lending, insurance, real estate, and property technology. But as adoption grows, so does the responsibility to ensure that AI models are built on ethical, governed, privacy-conscious data. ...
by Iszabella Hazard | Dec 3, 2025 | Blog
Artificial intelligence is expanding at an unprecedented pace, but only organizations with the right data foundation are positioned to capture its full value. According to analysis of Statista data, the global AI market reached roughly $184 billion in 2024 and is...
by Iszabella Hazard | Nov 17, 2025 | Blog
Artificial intelligence promises speed, scale, and smarter decision-making – but even the most advanced algorithms can fail when the data behind them introduces bias. Bias doesn’t always appear in obvious ways. It can seep into AI systems through historical...
by Iszabella Hazard | Nov 11, 2025 | Blog
Artificial intelligence promises speed, precision, and automation – but those outcomes depend on one critical factor: data quality. No matter how sophisticated the model, messy, inconsistent, or outdated data can derail performance before training even begins. ...
by Iszabella Hazard | Nov 5, 2025 | Blog
Artificial intelligence is only as powerful as the data that fuels it. In fact, a recent study from Vanson Bourne and Fivetran shows that poor data quality leads to roughly $406 million in losses every year. No matter how advanced an algorithm may be, messy or...
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