Traditional home price indices were developed to identify patterns in prices of homes across large geographies, useful for tasks like research and policymaking. However, due to limited data sets and outdated technology, risk managers, analysts, real estate professionals and other practitioners were receiving information that was months old and not at a granularity that was meaningful. Today, Artificial Intelligence and Machine Learning acting on very large datasets have made it possible to upgrade the traditional methods for home price indices.
Latest Post

How Credit Unions Can Easily Deploy Remote Appraisal Technology to Improve the Member Experience
June 9, 2022
Thursday, June 23, at 1:00 p.m. central time

Ready, Set, Pivot: Winning in a Purchase Centric Market
March 21, 2022
Thursday, April 28 at 1:00 p.m. central time

We’ve Cracked the Code on Cross-sell. Let Us Prove It!
March 21, 2022
Wednesday, April 20, at 1:00 p.m. central time
Contact ACUMA
- ACUMA
- 6907 University AVE., #331, Middleton, WI 53562
- Toll Free: 877-442-2862
- TeamACUMA@acuma.org
- www.acuma.org