“AI is a collection of tools and disciplines. Ignore the buzzwords. Business leaders shouldn’t really care about what technology or methods are used behind the scenes to achieve the end goal, and instead, focus on the company or the internal platform’s ability to deliver on that end goal.
That end goal could be predicting renewals for multi-family rental buildings, ROI and NOI bands for investments, risk factors for property insurance, risk concentration for mortgage underwriting, prepensely to sell, or anything that matters to your organization.
You know what matters to your organization, so make sure that whatever company you work with or platform you build, meets your end goal – regardless of what enables that capability.”
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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.
