Just as rotten eggs ruin a recipe, rotten data sickens downstream processes like underwriting, reporting, financial modeling, dashboards, and AI models.
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.
The data and application landscape is fragmented and siloed, and we need to find a path forward that enables investors, managers, and underwriters to make better, faster, and more accurate decisions given this landscape.
For every intersection of geography, capital stack, investment, and asset class, there’s an abundance of applications and data solutions that add value to investors and operators – each evolved to meet a specific need – widely adopted by the industry.
In a world where diversity and inclusion have become buzzwords, a group of technology executives have decided to spark a dialogue within the real estate industry.