Why Predictive AI is the Real Game-Changer

Why Predictive AI is the Real Game-Changer

Let's talk about the elephant in the room: Generative AI.

It's everywhere, right? But here's the thing - it might not be the miracle worker we've been led to believe. In fact, there's another player in town that deserves way more attention:

Predictive AI.

Let's break it down.

Generative AI: The Shiny New Toy

Generative AI is like that cool party trick everyone's talking about. It can:

  • Write poems
  • Create images
  • Answer questions
  • Even code (kind of)

Sounds amazing, doesn't it? But here's the catch: it's not as smart as it looks.

The Reality Check

Eric Siegel , a big shot in the AI world, puts it bluntly: "It's hyperbole. It's hype." But he's got a point. Here's why:

  1. It doesn't really understand stuff. It's just really good at mimicking.
  2. It makes things up. A lot. (They call this "hallucinating")
  3. You can't trust it blindly. You've got to double-check everything it spits out.

So, while it's cool and all, it's not going to revolutionize business overnight.

Predictive AI: The Unsung Hero

Now, let's talk about the real MVP: Predictive AI. It's not as flashy, but it's the one actually getting stuff done.

What's the Big Deal?

Predictive AI is all about using data to make smart guesses about the future. It's like having a crystal ball, but one that actually works. Here's what it can do:

  1. Help businesses make better decisions
  2. Improve operations on a massive scale
  3. Save money (and who doesn't love that?)

Real-World Wins

Let's look at some examples:

  • UPS uses it to predict deliveries and save a whopping $350 million a year.
  • The New York Fire Department uses it to figure out which buildings might catch fire. Talk about lifesaving tech!
  • Hospitals use it to predict which patients might need to come back after being discharged.

This isn't sci-fi stuff. It's happening right now, and it's making a real difference.

Why Predictive AI is the Real Game-Changer

Okay, so why should we care more about Predictive AI than Generative AI? Here's the deal:

  1. It solves real problems. Not just "wouldn't it be cool if..." scenarios.
  2. It works at scale. We're talking millions of decisions, not just one-off tasks.
  3. It's reliable. Unlike Generative AI, you don't need to babysit it constantly.
  4. It saves money and time. In business, that's the holy grail.

The Bottom Line

Look, Generative AI is neat. It's fun to play with, and it might even help with some tasks. But if you're looking for something that's going to transform your business? Predictive AI is where it's at.

It's not as sexy as chatbots or AI-generated art, but it's the workhorse that's actually changing how businesses operate. And at the end of the day, that's what really matters.

What Now?

So, what should you do with this info? Here are some tips:

  1. Don't get caught up in the Generative AI hype. It's cool, but it's not a magic bullet.
  2. Look into how Predictive AI could help your business. There's probably a use case you haven't thought of yet.
  3. Focus on solving real problems. That's where the real value is.

Remember, in the world of AI, it's not about what looks the flashiest. It's about what actually gets results. And right now, Predictive AI is leading that charge.

Oh, and here's another cool thing about Predictive AI: it's not here to steal your job. In fact, it's more likely to create new opportunities. How? Well, Predictive AI is really good at solving problems that we're not even tackling right now. It's not about replacing humans and their tasks – it's about enhancing what we can do.

What do you think? Are you team Generative AI or team Predictive AI?

Amir Hossein Ajami

Product Designer | User Experience Designer | UX Alchemist | Turning User Needs into Gold

3 个月

Imagine being Amazon and knowing exactly what a customer is about to order, so you place the item near their home even before they click the “order” button. The moment they confrim purchase, the doorbell rings, and their order is delivered. Or consider diagnosing a user’s illness before they even fall sick, based on their lifestyle patterns, and giving them a health warning. These are just a few of the countless possibilities that promise an exciting future in this field.

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