Myth: AI can overcome low quality data

No matter the industry or application, the promise of artificial intelligence (AI) is contingent on the quality of the data that it uses. Whether you’re looking to automate facility operations or make smarter decisions about your real estate portfolio, it all comes down to data.

The companies leading the AI revolution have one major thing in common: their AI strategy is in lockstep with a coordinated data strategy. This makes sense, because they go hand in hand.

So, how can you ensure your data is in the right shape and ready for AI? Srihari Kumar, SVP, Chief Product Officer, JLL, recommends measuring it against what he calls, the three C’s: completeness, correctness and consistency.

“If you are lacking in one of these critical areas, your AI investment won’t be ready for prime time,” says Kumar.

Here’s a breakdown of the three C’s and why they’re important:

Completeness: Does my data have all the answers I need?

Data, whether automated or human-generated, may have special requirements that aren’t included in your data processing. For example, if a building’s maintenance history is incomplete, an agent focused on preventative maintenance could overschedule service visits, resulting in excess spending, or under schedule and suffer costly equipment failures.

Correctness: Can I count on my data to be accurate?
Is your data generated by humans, systems or both? If your data processes involve manual updates (as they often do in the real estate industry, like property pricing or square footage), there should be checks and balances in place to look for human error.

Consistency: Is my data readily available to use, no matter where it is?
Being able to pull the right information when you need it is critical to saving time and money. Even if your data is located across multiple systems, they should all use the same data source to ensure accuracy.

AI is constantly evolving. Business strategies are currently moving toward agentic AI, which can make intelligent decisions without human involvement. Naturally, these decision-making processes are based on data, so having a sound foundation of complete, correct and consistent data is critical.

At JLL, we know this firsthand. We prioritized getting our own data in order across the organization, recognizing that AI is only as good as the data it's trained on. This commitment to clean, quality-assured, and strictly governed data has allowed us to extend our technology strategy into the AI era, driving the development of JLL Falcon, a foundational platform for its AI-powered products and services. With JLL Falcon, which includes JLL GPT, the first large language model purpose-built for commercial real estate (CRE), we’re able to infuse AI and our proprietary data across our technology today and into the future.

Learn more about how JLL Falcon, a pioneering AI platform for CRE, powers innovative, accurate and secure commercial real estate solutions for your business.