Your Cognitive Transformation Journey is Powered by Kloud9’s AI/ML-led Accelerators

Kloud9 Data Engineering & Data Science experts have developed a powerful set of Accelerators that enable organizations across Retail, Consumer Goods, Healthcare and Manufacturing to adopt advanced analytics and make data-driven business decisions.

With our “AI-First” approach, Kloud9 Accelerators help in scaling AI/ML across customer enterprises, unleashing the power of data for significant business impact.

Benefits of Kloud9 Accelerators

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Bridging gaps in data to ensure better data quality

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Aids more accurate decision making

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Intuitive data retrieval due to enhanced data accessibility

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Reusable Al/ML data management components

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Efficient data transformation resulting in optimised data flow

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Tested and robust production ready data assets for seamless CI/CD deployment

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Combines data from multiplesources providing 360-degree view of data

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Reuse and extend Kloud9 tools & accelerators across migration use cases with minimal changes to configuration

Kloud9 Accelerators

Accelerated Data Validation
Accelerated Data Validation

  • Checks data accuracy quality ensuring compliance with defined formats
  • Built-in check gates for ensuring only curated data gets into building ML Models
  • Validates, cleanses and transform data efficiently across the enterprise
  • Quick implementation of data validation, cleansing and transformation rules
  • Transforms and compresses data
  • Captures all relevant information for control and governance and ensures audit readiness
  • JSON Config with Column Data Types, Date/Number Ranges, Custom Regex, Predefined Lists, Length
  • Sets the platform for building intelligent AI models across your business streams

Accelerated Data Denormalization
Accelerated Data Denormalization

  • Normalizes data and make them more manageable
  • Normalizes data before it is sent to a data lake
  • Enhances read and query performance
  • Consumes less compute power for operating large datasets
  • Facilitates and accelerates data analysis, modeling and reporting
  • Sets the platform for building intelligent AI models across business value streams
  • JSON Config with denormalization relations along with data transformation functions

Accelerated Feature Transformations
Accelerated Feature Transformations

  • Modifies predictor variables to improve model performance
  • Modified data makes understanding ML algorithms easier
  • Delivers better results, improves accuracy
  • Feature Transformation outputs well defined Interface Contracts
  • Reduces feature engineering effort by 30%-40%

Accelerated Feature Selection
Accelerated Feature Selection

  • Automatically selects the most important features that contribute to desired ML Model
  • Improves performance of predictive models
  • Reduces computational cost of modelling
  • Feature Selection outputs from Kloud9 Data Scientist designed to be handed over to ML Engineering team with well-defined Interface Contracts
  • Reduces feature engineering effort by 30%-40%

Accelerated Training Pipeline
Accelerated Training Pipeline

  • Preparation of Data Sets
  • Fully automated process
  • Data Drift & Split JSON Config
  • Model Training & Batch Transform with JSON Config
  • Algorithms using JSON Config
  • Fast iteration cycle
  • Model Deployment

Accelerated Feature Store Pipeline
Accelerated Feature Store Pipeline

  • Stores, updates, retrieves, and shares ML features
  • Single source of commonly used features available to make real time predictions
  • Faster ROI: Generates a Feature Store for 30+ million records with 100+ transformations in less than an hour
  • Reduced time to implement with 25% cost savings with Configurable & Modularized Airflow DAG Orchestration
  • Excellence in performance: Fine tuned Spark infrastructure with partitioning and bucketing 

Data Drift Detection Framework
Data Drift Detection Framework

  • Monitoring the health of deployed ML models
  • Drill down into features that are causing the drift
  • Inspect feature level metrics to debug
  • JSON Config with drift matrix and thresholds

Accelerated Inference Pipeline
Accelerated Inference Pipeline

  • Real-time predictions using trained ML models
  • Combines pre-processing, predictions, and post-processing data 
  • Faster servicing of end-user requests
  • Reduces time for deployment and development by 30-40%

Kloud9 facilitates AI/ML processes and increases the predictive power of data for customers across Retail, Consumer Goods, Healthcare and Manufacturing industries.

To start or accelerate your Data Science and Data Engineering journey, get in touch with us.