NTT DATA uses AI to accelerate CO₂ capture and conversion research
PushButton AI Team ·
NTT DATA uses AI to accelerate CO₂ capture and conversion research
You bought the AI tool. Nobody used it. $200/month gone, and now you're more skeptical than ever.
That's not a you problem. That's a deployment problem — and most vendors don't care about the differe
You bought the AI tool. Nobody used it. $200/month gone, and now you're more skeptical than ever.
That's not a you problem. That's a deployment problem — and most vendors don't care about the difference.
Here's what a recent NTT DATA research project quietly reveals: the AI implementations that actually work aren't the flashy all-in-one platforms. They're narrow, specific applications solving one well-defined problem. NTT used AI to accelerate a single research process — CO₂ conversion — not reinvent their entire organization.
That's the lesson most gurus skip. AI wins small before it wins big. The companies seeing real ROI picked one repetitive, time-consuming task and let AI handle just that. Nothing more.
You don't need a transformation. You need a target.
Pick the one task your team does every week that eats 3-5 hours and follows a predictable pattern. That's your first AI project. Solve that one thing. Measure it. Then decide what's next.
No consultants. No ripping apart what works. No six-month learning curve.
What's the one repetitive task in your business you'd kill to get off your plate — and have you actually tried automating it yet?
