What algorithm ServiceNow uses for its Predictive Intelligence?

[Pooja M Devkar]

Which type of algorithms ServiceNow uses for predictions, in Predictive Intelligence?

• For Classification solution which machine learning algorithm ServiceNow uses?
• For Similarity solution which machine learning algorithm ServiceNow uses?
• For Clustering solution which machine learning algorithm ServiceNow uses?
• For Regression solution which machine learning algorithm ServiceNow uses?

Any help will be appreciated.

Thanks,

Pooja Devkar

[VS · Accepted solution]

Hi,

ServiceNow's Predictive Intelligence utilizes various machine learning algorithms for different types of predictive solutions:

1. For Classification solutions:
  - ServiceNow typically uses algorithms like Logistic Regression, Decision Trees, and Random Forests for classification tasks. These algorithms are well-suited for predicting categorical outcomes based on input features.

2.For Similarity solutions:
  - The platform uses k-Nearest Neighbors (k-NN) and Cosine Similarity algorithms to measure the similarity between different records. These algorithms help in identifying records that are similar to a given record based on the features' values.

3.For Clustering solutions:
  - ServiceNow often employs k-Means Clustering and Hierarchical Clustering algorithms for grouping similar records into clusters. These algorithms are effective in identifying natural groupings within the data.

4.For Regression solutions:
  - For regression tasks, ServiceNow uses algorithms like Linear Regression and Support Vector Regression (SVR). These algorithms help in predicting continuous outcomes based on input features.

These algorithms are integrated into the platform to provide robust predictive capabilities, enabling users to make data-driven decisions and automate various processes within ServiceNow.

Thanks

VS