AI Studio for data scientists

Zia Agent Studio

Create custom agents

Build custom agents from scratch by choosing the model, tools, data, and set instructions your team needs.

Prebuilt agents

Use the prebuilt agents for common business domains where each one comes with preconfigured with its model, knowledge, and tools.

AutoML: No-code ML model builder

Effortlessly build custom ML models and run advanced analytics on your data. Train, compare, deploy, and schedule without writing code.

Forecast what's next with Time Series

Predict future sales, website traffic, or other time-based metrics from your historical data.

Choose uni-variate forecasting for a single metric, or multivariate to factor in related variables.
Set the forecast horizon and minimum and maximum limits, and avoid negative forecasts.
Let AutoML pick from ARIMA, Regression, Seasonal Trend Decomposition, Error Trend Seasonality (ETS), and Ensemble models, or choose your own.
Compare accuracy across models and view forecasts with confidence intervals.
Deploy on a schedule so forecasts update as new data arrives.

Spot unexpected patterns with Anomaly Detection

Find values that don't fit the expected pattern, like a sudden dip in daily sales, an unusually large insurance claim, or an out-of-range sensor reading.

Build anomaly detection models without writing code or knowing the statistics behind them.
Train, compare, and deploy them with the same AutoML workflow.
Surface outliers in results you can explore and act on in Zoho Analytics.

Import models from other tools with PMML

Bring models built in Python, R, SAS, or SPSS into Zoho Analytics using the industry-standard PMML format.

Use imported models without rewriting code or rebuilding them from scratch.
Upload the PMML file, validate the model, and deploy it on your Analytics tables.
Schedule deployments hourly, daily, weekly, or monthly so predictions refresh as your input data updates.

Code Studio: Pro-code ML model builder

Develop ML models from scratch for data transformations and custom ML models with Python Code Studio.

Write, fix, and optimize Python faster with Coding Agent

A coding assistant inside Code Studio for Data Transformation and ML Model artifacts.

Create, explain, fix, optimize, test, and review Python code without switching tools.
Speed up delivery and cut errors for data engineers and data scientists.
Build, train, and deploy custom models, and use them for advanced data transformation.
Import custom Python libraries into Code Studio.

Write, fix, and optimize Python faster with Coding Agent

Jupyter Notebooks: Interactive, code-driven analysis

Create and run interactive Jupyter notebooks for data analysis, visualization, and machine learning. Write Python code, document your process with markdown, and share reproducible computational narratives.

Go from exploration to insight without leaving your workspace

Create and manage notebooks, execute python code, switch between code and Markdown cells.
Use standard data science libraries for your analysis.
Pull governed analytics data into notebooks as pandas DataFrames, with your existing access controls still applied.
Explore, transform, visualize, and build machine learning models in the same notebooks.

Build your own custom ML model from scratch

Create, train, and deploy custom models using Python Code Studio.
Utilize these models for advanced data transformation.
Get assistance from Zia code suggester for writing codes.

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