From Predictive to Generative AI: How FojiSoft is Helping Companies Master the Next Evolution in AI

You know, five years ago, a lot of companies were just dipping their toes into machine learning and predictive AI, trying to figure out which projects to tackle first. It was a big question then—and honestly, it still is—but the game has changed. AI has evolved, and so have the challenges that businesses are facing.

Most companies, when they started out, found their first AI projects were tougher than they expected. And it raised even more questions: Should they go for the big, moonshot projects? Or should they focus on small wins that add up over time? How do you scale? What do you tackle next?

Now, with tools like generative AI—take ChatGPT or FojiSoft’s Ask Foji suite, for example—the whole AI landscape looks different. These models have forced everyone to rethink everything. And the big question now is, what can we take from the lessons we’ve learned with predictive AI and apply to this next generation of AI?

The Right Moves for Predictive AI Success

Look, companies that are getting real value out of predictive AI aren’t sitting around waiting. They’re getting after it, fast. Here’s what they’re doing right:

What You Gotta Do:

1. Pick Your Battles: The winners aren’t just chasing what’s technically cool. They’re making sure their projects have support from every level of the organization.
2. Get the Right People Involved Early: The most successful teams have business folks who are bought in from the start—people who can’t wait for the next AI project.
3. Fan the Flames: When you win, make sure everyone knows it. You’ve got to celebrate those early successes because they’ll give you the momentum for bigger, riskier projects down the road.

What to Steer Clear Of:

1. Don’t Start with the Most Complex Problem: Trying to solve your hardest problem right out of the gate is just asking for trouble.
2. Don’t Wait for Perfect Data: If you wait around until your data’s flawless, you’re going to miss out on valuable insights you could’ve had along the way.
3. Don’t Overcomplicate Your Organization: Trying to perfect your operating model or strategy before you even get started will just slow you down.

What’s New with Generative AI?

Generative AI—this stuff’s a game changer, but it comes with its own set of challenges:

• Big-Time Compute Power: These models need serious hardware to run. You either buy it or you rent it from the cloud.
• Tricky to Evaluate: Predictive models? You measure things like accuracy. But generative AI? It’s a bit more subjective, which makes it harder to grade.
• Keeping It Ethical: You can’t just let these models run wild. Companies need to make sure their AI outputs are responsible and safe—for everyone.

Facing the Future of Generative AI

With generative AI, the big challenges are shifting:

• Start with the Right Problem: If you chase the wrong thing, you’ll never see the value. Focus on productivity and not just cost-cutting, and you’ll get results faster.
• Faster Payoff: Generative AI’s advantage? It’s faster to get to something usable because it’s working in human language. You can get value quicker than with traditional predictive models.
• Data’s Gonna Be Different: These models handle messier, more complex data better, so you won’t have to spend as much time prepping and cleaning it up.

How to Get Your Team Ready for This

• Learn the New Skills: You’ve got to understand how these models work, their quirks, and how to get the best out of them.
• Ramp Up Your Tech: Running these models means more complex hardware. Your team will need to get comfortable with that.
• Watch Them Close: Because of ethical and legal concerns, these models need constant monitoring.
• Design New Workflows: Generative AI brings new user experiences—probably with humans in the loop—so your team will need to rethink how they work with AI.

FojiSoft’s Unified AI platform makes it easier for companies to dive into both predictive and generative AI. Whether you’re just starting out or looking to scale up, FojiSoft helps you get the most out of your AI investments, faster and with fewer headaches.