3 min read

Teslas & Data & AI, Oh My!

Data tells AI systems how to act in different situations. Tesla's full self-driving cars rely on data to improve their self-driving technology, enabling AI to function at its best.
Role of data in AI

Hello and welcome to Day 3 of "21 Days of AI"!

Today, we're zeroing in on something absolutely fundamental in the world of AI: the role of data. Yes, data is the powerhouse fueling all those smart AI functions we’ve come to rely on!

What's on deck for today?

  • Why data is crucial in AI?
  • How Tesla uses quality data to enhance its self-driving features.
  • You'll see firsthand how quality data can transform interactions in the multifamily industry.

Grab your favorite morning brew, and let’s dig into how smart data use can supercharge AI tools and solutions!

Let's think of data as the gas that powers a car. Just like a car can't go anywhere without gas, AI can't function without data.

This data tells AI systems how to act in different situations. It's like a guidebook for AI, helping it learn to spot patterns and make smart guesses. Good data must be accurate, complete, relevant, current, and consistent for AI to function at its best.

How Tesla's AI Uses Data to Make Decisions?

Let's take a look at Tesla's Full Self-Driving feature to see how important data is.

Imagine Tesla's self-driving cars at a busy intersection, facing numerous roads and deciding which path to take. Unlike humans, Tesla doesn’t inherently know the right turn from the wrong one just by looking at a map. Instead of programming every possible scenario, Tesla opts for a different approach—learning by observation.

The self-driving system observes and records data from human drivers at that specific intersection. It notes which turns are taken most frequently and which are avoided, learning patterns and preferences over time.

This ongoing accumulation of real-world driving data is what teaches Tesla to navigate intersections confidently on its own. Here, data acts as the teacher, guiding the AI to make informed decisions based on what it has learned from the actions of thousands of drivers. Through this example, we see the indispensable role data plays in training AI to perform complex tasks.

Impact of Quality Data on Multifamily Emails

Just as Tesla uses data to make smart driving decisions in multifamily, providing rich, specific data allows an AI to personalize communication effectively, ensuring your messages hit the mark every time.

When you use ChatGPT to write emails for your prospects and provide only basic information, the resulting email might be quite generic, possibly even hallucinating details like the one produced in the below scenario.

However, if you enhance the data quality by adding specific details about the prospect's preferences—such as their interest in fitness and details about the property—the AI can craft a much more personalized email like the one below.

This tailored approach doesn't just catch the prospect's eye—it significantly increases their chances to engage. It shows how data quality directly influences the effectiveness of AI applications, turning a standard interaction into an opportunity to connect and convert.

To sum up, remember, like gas for a car, the right data can take AI from 0 to 100 real fast! In the multifamily world, this means feeding your AI systems with rich, detailed data to transform routine interactions into meaningful relationships with your prospects and residents.

And that's a wrap on Day 3 of "21 Days of AI!" Thanks for joining us to learn how crucial data is for AI.

Feel free to let us know what AI topics you'd like us to simplify next!