Advanced Self-Serve AI and AutoML Platform. No Machine Learning (ML) Experience Required.
The Kepler platform enables you to bring AI and Machine Learning (ML) projects to market faster with your existing teams and technological investments. It does this by combining advanced ML — including Deep Learning — with intuitive design, all within a self-serve framework built to help you create, train, and deploy AI projects, fast. This helps accelerate AI adoption by automating the end-to-end ML process, effectively enabling users with no ML experience to leverage cutting-edge ML capabilities to solve hundreds of business-critical use cases, including: Demand Forecasting, Churn Prediction, Lifetime Value Prediction, Predictive Maintenance, Sentiment Analysis, Anomaly Detection, Session / UX Optimization, and User Intent Prediction.
The Automated Data Science Workflows within the Kepler platform automate the complex and time-consuming data science steps that exist across the ML process so that users can produce AI models to predict with accuracy, forecast with precision, and illuminate new insights. The Kepler platform’s ML capabilities are constantly optimized and seamlessly integrate with key production environments. It is optimized for Azure, and leverages Azure Kubernetes Services (AKS) and Microsoft’s compute platform.
Core Features of the Kepler Platform:
– End-to-end Automation: Benefit from our advanced, automated workflows so that all you need to leverage the power of ML is data and a business challenge to get started.
– Extensive Workflow Library: From forecasting demand to predictive maintenance to customer segmentation, Kepler generates impactful results for a range of use cases. The Kepler platform’s Automated Data Science Workflows include: Tabular Classification, Time Series Forecasting, Tabular Regression, Clustering, Anomaly Detection, User-item Recommender, Text Classification, and Image Classification.
– More Data Types: Leverage your tabular, text and image data to generate solutions, getting more value from your data, and allowing you to address more business problems.
– Quick & Secure Deployment: Yield measurable returns from your ML investment by rapidly deploying Kepler models to your key environments via RESTful APIs.
Who Benefits from Using the Kepler Platform?
– Business Leader: Scale AI and accelerate time-to-value with a platform that grows with your business using the team and skills already within your organization.
– Business User: Augment your productivity and address complex business problems with advanced AI and ML capabilities without the need for technical ML experience.
– Data Scientist & IT: Leverage state-of-the-art, end-to-end automation, an extensive library of AI algorithms, and the ability to quickly deploy machine learning models.
