An enterprise-ready data and AI platform designed to accelerate the impact of AI across your business with transparency, governance, and speed.
Time to value
Faster deployment
Cost reduction
Lower infrastructure spend
Trust score
Enterprise governance
Global reach
Countries supported
Build, train, and tune foundation models with your own data.
A fit-for-purpose data store built for AI workloads.
Monitor and manage models to ensure responsibility and compliance.
Run anywhere: on-prem, public cloud, or edge.
Orchestrate workflows and automate business processes.
Turn data into insights with powerful BI tools.
Access powerful APIs, SDKs, and pre-built models. Integrate seamlessly into your existing DevOps pipelines. Built on open technologies like Red Hat OpenShift.
from watsonx import Model, Data
# Initialize model
model = Model(
model_id="ibm/granite-13b-chat-v2",
credentials={
"apikey": "YOUR_API_KEY",
"url": "https://us-south.ml.cloud.ibm.com"
}
)
# Prepare fine-tuning data
dataset = Data.load("enterprise_docs_v2.json")
# Start training job
job = model.train(
data=dataset,
epochs=10,
learning_rate=2e-5
)
print(f"Training job started: {job.id}")