Okay, so if you’re wondering who’s actually killing it in machine learning in the U.S., here’s the honest rundown — no tech fluff.

1. Google Cloud – Yeah, no surprise here. Google basically invented half the AI tools people use today. Their stuff is super smart but also kinda nerdy — great if you’ve got data coming out of your ears.

2. Amazon Web Services (AWS) – If Google’s the brainy kid, Amazon’s the one who just gets stuff done. Their SageMaker platform is everywhere — startups, big companies, you name it.

3. Microsoft Azure – Think of Microsoft as that friend who quietly does everything well. Their AI tools just work, especially if your company already lives in Excel and Teams.

4. IBM – The old legend. Been doing AI since before “AI” was even trendy. Big companies love them because they trust IBM with serious stuff like banking and healthcare.

5. Databricks – These are the data wizards. If your business has massive messy data, Databricks can make sense of it. They’re the cool nerds in the room.

6. SAS – The old-school analytics pro. Not flashy, not loud — just rock-solid for companies that want reliability over hype.

7. H2O.ai – The scrappy startup type. Super cool if you want to build AI models fast without needing a whole team of data scientists.

So yeah, that’s the squad:

• Google, Amazon, Microsoft — the cloud kings.

• IBM, SAS — the seasoned veterans.

• Databricks, H2O.ai — the up-and-comers with fresh ideas.

If you’re a startup, go with H2O.ai or Databricks.
If you’re a big enterprise, AWS, Azure, or IBM will make your life easier.