How it Works.

Put powerful AI in the hands of your team with the Kepler platform.

The Kepler AI business platform takes the complex and manual process of conventional AI and transforms it into an easy 5-step process that can be performed by business users and domain experts alike, without the need for any machine learning experience.

The Kepler 5-step process.

Our automated workflows condense machine learning into an easy-to-follow, approachable process.

1

Identify business challenge

2

Gather applicable data

3

Generate a model

4

Evaluate results and learn

5

Choose how to use your model

Deploy model

Generate insights

Automated Data Science Workflows in Kepler.

The AI and Machine Learning workflows within Kepler allow businesses to scale AI across a wide range of business use cases that cross all industries and functions, from forecasting demand and workforce planning to medical image analysis and anomaly detection. 

Kepler can be applied to hundreds of use cases across your organization.

Tabular Classification

Tabular Classification

Predicts which category structured data will fall into.

Examples of use cases:

Tabular Regression

Tabular Regression

Measures the relationship between dependent and independent variables.

Examples of use cases:

Text Classification

Text Classification

Predicts the category of unstructured text data.

Examples of use cases:

Time Series Forecasting

Time Series Forecasting

Predicts a future quantity based on historical, sequential data.

Examples of use cases:

Anomaly Detection

Anomaly Detection

Finds outliers in data that differ significantly from the majority of the data.

Examples of use cases:

Clustering

Clustering

Clusters groups of unlabeled data into categories according to patterns and similarities.

Examples of use cases:

Image Classification

Image Classification

Categorizes images that share characteristics of a predefined set of categories.

Examples of use cases:

Recommender

Recommender

Evaluates similarities between a user’s purchase behavior and the purchase behaviors of other users in order to make highly relevant recommendations.

Examples of use cases:

Explore the different ways you can use Kepler to gain agility in your business.

The Kepler platform’s Automated Data Science Workflows: How they work.

How Kepler makes the development of machine learning models easier:

Data upload and preparation

You upload your data to Kepler.

Workflow selection

You select the right Automated Data Science Workflow based on your business goal and desired outcome.

Data pre-processing

Kepler organizes and visualizes your data.

Data exploration

Kepler provides an in-depth view of your data to ensure it suits the needs of your project.

Training preferences

You give Kepler important context about your data, model preferences, and budget.

Data cleansing

Kepler makes your data sparkling by removing blanks, standardizing texts & removing special characters.

Automated feature engineering

Kepler tests, creates and improves features to build your ML model.

Automated pipeline generation

Kepler selects algorithms, undergoes automated configuration and hyperparameter optimization.

Explainability

Kepler interprets results via dashboard, showing specific, clear details on data points within the machine learning model.

Inference (online or offline)

Kepler generates predictions from either static or real-time data.

API Connectivity

Kepler generates code to connect inference to your system of choice, so you can start seeing results from your work.

Not all your data is the same.

The Kepler platform leverages a wide range of data types, allowing you to use more of the business’ data to generate insights, create forecasts, and make better decisions.

Tabular

CSV, Relational Database

Workflows

Tabular Classification
Anomaly Detection
Regression
Time Series Forecasting
Clustering
Recommender

Text

CSV, Relational Database

Workflows

Text Classification

Image

PNG, JPEG

Workflows

Image Classification

What data systems does Kepler connect to?

Your instance of Kepler can be hosted on your choice of the following cloud providers:

Amazon Webservices

Microsoft Azure

Book a demo or speak with one of our professionals to see how you can get started.​

Learn more about the Kepler AI business platform with our demo video.

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