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Empower data science and business teams with advanced capabilities
to
quickly build and deploy robust technology solutions at scale
Easily integrate AI into the current product
ecosystem and fast track GTM for new AI solutions
Incur huge savings in cost, time and effort by
building complex ML
models in AutoML
Increase revenue by optimizing business operations and maximizing customer
satisfaction
levels through the power of AI
Centralize MLOps and enable teams to collaborate on, share, and export
ML projects with ease and simplicity
Automate the process of building ML models
Get visual explanation for model prediction
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Manage end-to-end ML pipelines
With innovation speeding in leaps and bounds, it is important to democratize technology to extract maximum business value and drive sustained digital transformation. PredictSense is an intuitive ML platform that facilitates the necessary access to technology and helps your internal teams efficiently collaborate on multiple business models with speed and scale.
Work with a Python and Jupyter
notebook-based interface
Build quality models with a clear focus on data science
Deploy and monitor models in
production
Simplify tasks with a visual drag and drop and a clickable UI
Build multiple models simultaneously
with AutoML
Deploy to production endpoints with a
single click
Achieve high productivity for data and
business teams
Reuse, re-share, and export models
Collaborate and govern the MLOps
environment securely
PredictSense helps organizations build and scale enterprise data science projects while maintaining a steady focus on achieving higher business impact.
PredictSense democratizes AI for every individual in the organization and creates a simple,
user-friendly collaboration
platform to seamlessly manage critical ML deployments.
Connect with various data sources to get your structured / unstructured
data loaded into PredictSense for further processing, analysis and model
training
Process the data using automated data preparation and feature engineering, along with an option for custom feature generation. Select a prediction variable for model building
Select ML algorithms from a given list and generate multiple models from the given data and prediction variable selected previously
Evaluate best model based on their accuracy scores and standard performance metrics, along with deep insights from graphs
Start getting predictions by deploying the best model as a complete container. Deploy it as a standalone web application along with an option to integrate using APIs
Enterprises across diverse industries use PredictSense to maximize their business value with
the
power of AutoML.
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The client was in the business of collections with reference to Consumer delinquencies.
The client was in the business of collections with reference to Consumer delinquencies.
US based tenant screening company was using a legacy software to assess the credibility of applicants seeking rental properties.
