You need to be on your game to tell the difference between a time- and money-wasting AI solution and one that actually moves the performance needle.

Amidst all the hype, it can be challenging to distinguish genuine value from noise, avoid the bullsh!t, and develop a strategy that truly benefits your organization. We dive into the essential components of creating an effective AI strategy.

Explore crucial lessons from funds that made strategic investments during economic downturns, and insights into how smaller funds can hold their own against the real estate Goliaths by differentiating their strategy through AI and connected data.

Post-pandemic growth is waning, but opportunities still exist in hybrid neighborhoods.

Real estate investment managers and fund administrators can now seamlessly collect and validate data from their service providers and partners, and leverage it for accurate and timely reporting. 

Resilience in real estate is more than a state of mind. It’s about having the right tools and strategies to face micro and macro challenges.

In this four-part series, Cherre’s CEO L.D. Salmanson take a birds-eye view of the world of real estate data and technology that we inherited. Only after we understand the historical context can we identify opportunities to use technology to fundamentally shift how we invest, manage, and transact this global asset class called real estate.

You’re barraged by real estate data sales pitches every day. Buzzwords like AI, Moneyball, or Bring-Your-Own-Data Visualization layers. But you rarely hear about implementations that drive ROI. That’s because most sales pitches are bullsh*t.

Powered by our Data Kit for SFR, Cherre is taking a deep dive into the trends, history, and data around private flippers, institutional investors, and iBuyers in the SFR market. What potential synergies exist between institutional investors and flippers? How will iBuyers fare in the new market cycle?

Using explainable machine learning techniques, the insights team at Cherre has discovered major demographic drivers for housing prices in major metropolitan areas.