Company: DOMO
Filing Date: 2025-04-04
Form Type: 10-K
Source: 0001505952-25-000045
Chunk: 18

Company: DOMO, INC.
Filing Date: 2025-04-04
Form: 10-K
Item: Item 1
Chunk 18
---
 DomoGPT run on Domo managed versions of Open AI, Databricks, Google Gemini, IBM WatsonX, or Snowflake Cortex AI.

Additional AI/ML functions with Domo include:

•Data Science tiles in Magic ETL: A user can easily deploy multiple algorithms with no code. Customers can simply drag and drop a data science tile (a pre-packaged action/calculation/algorithm/or other data transformation action including clustering, forecasting and outlier detection) in Magic ETL that performs a clustering algorithm (including both k-means and k-medians algorithms) on the dataset. This can be achieved through a few clicks and no code.  

•Scripting tiles for R and Python: Advanced customers can employ our data science scripting tiles (R or Python) to use their own custom code for AI and machine learning functions. Once a customer's custom-coded data science tile is deployed, data can be fed into this algorithm. If more specificity is needed, a user can configure a Python script to code up any advanced clustering methodology or unsupervised approach they prefer. Customers can also use Jupyter notebooks to find clusters in a dataset.  

•Jupyter Notebooks Integration: Jupyter Notebooks are tightly integrated with Domo to allow users to easily explore their Domo DataSets, leverage instantaneous code execution to develop pipelines for data science and machine learning, document their processes, create custom visualizations, and write transformed data back into Domo.  

•Domo's AutoML (built on AWS Sagemaker) capability can automatically identify key drivers in a dataset. AutoML automatically generates a feature importance dataset for the customer that helps them explore and visualize the data to understand how each attribute in the data contributes to the predicted result. The higher the score on a feature, the more the feature impacts the model’s predictions. From a business perspective, this helps users understand which drivers impact the outcome they care about the most. It also speeds up the ML workflow by helping users prioritize data improvements for features that will have the most impact on the model's predictions. Domo's augmented Data Profiler automatically recommends cleaning actions and calculates correlations and distributions to help business users identify the most important attributes of their data. 

Connectors

The foundation of our technology is the ability to connect all of an organization’s relevant business data and then combine, cleanse and transform that data into formats that can be easily visualized and analyzed.  

Our platform provides real-time access to data through a broad and flexible set of connection options, including through more than 1