Altair Knowledge Studio

Description

Altair Knowledge Studio is designed to democratize data science by providing a visual interface for creating predictive and prescriptive models. Users can build models interactively, ensuring they meet performance criteria and align with business objectives. The platform supports drag-and-drop workflows, empowering business users to quickly uncover insights and solve complex problems. It is suitable for various industries, including credit risk management, fraud detection, marketing analytics, and product lifecycle design.

The platform offers both no-code and low-code development, allowing users to build analytical models visually while integrating custom code when needed. Models can be converted into different programming languages, facilitating deployment in production environments. For users who prefer coding, Altair Knowledge Studio supports code nodes where SAS, Python, and R can be written and executed. These nodes are reusable and shareable, promoting collaboration.

Altair Knowledge Studio also supports champion/challenger model testing, enabling users to compare models using performance criteria such as AUC and KS statistics. Its patented interactive decision trees are crucial for creating explainable models, particularly in use cases like credit risk and fraud analytics. The platform ensures transparency by allowing users to understand how models function, maintaining high machine learning performance and accuracy.

Altair Knowledge Studio's Core Features

• No-code/low-code development

• Visual interface for model building

• Drag-and-drop workflows

• Interactive decision trees

• Champion/challenger model testing

• Code nodes for SAS, Python, R

• Model conversion to programming languages

• Reusable and shareable code nodes

• Integrated model analyzer node

• Explainable ML models

How to use Altair Knowledge Studio?

1. 1

   Configure: Set up decision trees and workflows

2. 2

   Use: Build models using drag-and-drop interface

3. 3

   Optimise: Test models using champion/challenger setup

4. 4

   Deploy: Convert models to programming languages

Altair Knowledge Studio's Use Cases

• Credit Risk Management
• Fraud Detection
• Marketing Analytics
• Product Lifecycle Design
• Customer Loyalty Programs

FAQ from Altair Knowledge Studio

• What is Altair Knowledge Studio?

  Altair Knowledge Studio is an AI platform for building predictive models using a visual interface without coding.

• How does Altair Knowledge Studio support model deployment?

  Models can be converted into various programming languages for easy deployment in production environments.

• Can I use coding in Altair Knowledge Studio?

  Yes, you can write and execute code in SAS, Python, and R using code nodes.

• What industries benefit from Altair Knowledge Studio?

  Industries like credit risk management, fraud detection, and marketing analytics benefit from its capabilities.

• How does Altair Knowledge Studio ensure model transparency?

  It provides interactive decision trees and model analyzer nodes for understanding model functions.

• What is champion/challenger model testing?

  It allows users to compare models using performance criteria like AUC and KS statistics.

• Is Altair Knowledge Studio suitable for non-coders?

  Yes, it offers a no-code/low-code development environment with a visual interface.

• Can models be shared in Altair Knowledge Studio?

  Yes, code nodes can be saved, reused, and shared among team members.