AI/ML |
Data Science
ITHENA’s AI/ML services
Machine Learning
Machine Learning Modeling Approach
- Engineer & Aggregate
- Analyze & Validate
- Visualize & Integrate
- Access data from any data source – your laptop, an application or a data warehouse
- Easily blend data of any size and any type – all file formats supported
- Aggregate, sort, filter, and join data on your device, in-database, or in distributed big data environments
- Explore data with interactive charts and visualizations
- Automate spreadsheets or other manual, repetitive data tasks
- Choose from a complete range of analytic techniques, with access to all popular ML libraries
- Bundle segments of workflows as components for reuse
- Integrate scripting in Python, R, and Javascript – and share for later reuse
- Extend KNIME capabilities by adding custom functionality through coding
Offerings
As the world is moving beyond automation towards “autonomous”, AI/ML is fast becoming a cornerstone for the future readiness of organizations. Get to know more about our AI /ML offerings.
Sales & Promotion Analytics
ITHENA’s sales analytics solution includes customer analytics which focuses on and drives revenues by upselling, cross-selling, building on customer loyalty, and using targeted promotions and advertising tools like basket analysis.
The AI/ML-based frameworks built by ITHENA will uplift your operational functions including your supply chain management, and will also help you with demand forecasting, inventory optimization, and logistics & transportation.
With ITHENA’s experience in manufacturing, you will have an advantage in planning your production and carrying out predictive maintenance. Our solutions will help set up the optimum quality for your products and manage production and workforce with ease.
Our purpose is to drive customer service excellence as part of the back office as well as on the field. By utilizing service analytics, customers have improved satisfaction and you benefit from reduced operations and warranty costs.
ITHENA’s Machine Learning (ML) capability provides features like NLP, chatbots to answer a human request in customer assistance scenarios, image to text recognition, and machine vision for visual analytics.
Approach
We have a holistic approach for shaping and implementing our AI / ML services.
Analysis
Analyzing and
understanding data &
business requirements
Investigate
Data sourcing & processing these data to find patterns and correlations
Model Development
Modelling, Ingestion &
Quick POC with Quality
Control
Model Deployment
AI/ML model deployment followed by testing