Our Approach
Our Service Offerings
Innova has deep expertise in data sciences and implemented advanced analytics projects, to several Fortune 500 customers across the globe. With our knowledge base over the years, we have fine-tuned our approach, methodology, solution accelerators, and processes to fit any data science engagement across any industry.
Leverage our supervised learning models to train algorithms to classify data and predict outcomes with accuracy. The algorithms that we offer include:
Linear Regression
Decision Tree
Random Forest
Logistic Regression
Fraud Detection
Market Segmentation
Customer Segmentation
Pattern or Face Recognition
Image Classification
Marketing Forecasting
Advertising Popularity Predictions
Leverage our unsupervised learning models to analyze patterns and classify data with zero human intervention. The algorithms that we offer include
K-Means Clustering
Hierarchical Clustering
Gaussian mixture model
Recommendation System
Customer Segmentation
Spam Filtering
News Classification
Social Network Analysis
Search Result Grouping
Image Segmentation
Anomaly Detection
Big Data Visualization
Feature Elicitation
Email Classification
Machine learning and artificial intelligence are now moving from the realm of research into adoption. This adoption driven by agile practices provides any organization with a competitive edge. On the other hand, MLOps incorporates the experimentation, iteration, and continuous improvement of the machine learning lifecycle. Its core benefits include – Efficiency – allowing data teams to achieve faster model development and deliver higher quality ML models; Scalability – where thousands of models can be controlled, managed, and monitored for continuous integration, delivery, and deployment; Risk reduction – enabling greater transparency and faster response to drift checks to ensure proper compliance with an organization’s policies.
Our Approach
With our unique ML implementation approach, organizations can:
Proactively address all common business concerns
Data-streaming dashboards
Enable consistent models by tracking data, code, and model versioning
Package and deliver models in repeatable configurations to maintain reusability
Predictive intelligence is a new machine learning-empowered solution that interconnects all data to predict outcomes and highlight all the key variables impacting organization performance. It gathers real-time data from various sources across the organization and helps anticipate market changes, missed assumptions, or future outcomes that are critical to making robust, business-wide decisions. Currently, the use of Predictive Intelligence is rapidly gaining momentum in many industries across the globe.
Advertising Popularity Predictions
Leverage our supervised learning models to train algorithms to classify data and predict outcomes with accuracy. The algorithms that we offer include:
Linear Regression
Decision Tree
Random Forest
Logistic Regression
Fraud Detection
Market Segmentation
Customer Segmentation
Pattern or Face Recognition
Image Classification
Marketing Forecasting
Advertising Popularity Predictions
Email Classification
Leverage our unsupervised learning models to analyze patterns and classify data with zero human intervention. The algorithms that we offer include
K-Means Clustering
Hierarchical Clustering
Gaussian mixture model
Recommendation System
Customer Segmentation
Spam Filtering
News Classification
Social Network Analysis
Search Result Grouping
Image Segmentation
Anomaly Detection
Big Data Visualization
Feature Elicitation
Email Classification
AI/ML Engineering Ops
Machine learning and artificial intelligence are now moving from the realm of research into adoption. This adoption driven by agile practices provides any organization with a competitive edge. On the other hand, MLOps incorporates the experimentation, iteration, and continuous improvement of the machine learning lifecycle. Its core benefits include – Efficiency – allowing data teams to achieve faster model development and deliver higher quality ML models; Scalability – where thousands of models can be controlled, managed, and monitored for continuous integration, delivery, and deployment; Risk reduction – enabling greater transparency and faster response to drift checks to ensure proper compliance with an organization’s policies.
Our Approach
With our unique ML implementation approach, organizations can:
Proactively address all common business concerns
Data-streaming dashboards
Enable consistent models by tracking data, code, and model versioning
Package and deliver models in repeatable configurations to maintain reusability
Predictive Intelligence
Predictive intelligence is a new machine learning-empowered solution that interconnects all data to predict outcomes and highlight all the key variables impacting organization performance. It gathers real-time data from various sources across the organization and helps anticipate market changes, missed assumptions, or future outcomes that are critical to making robust, business-wide decisions. Currently, the use of Predictive Intelligence is rapidly gaining momentum in many industries across the globe.
iDSP
Research
White Paper
How Data Science Helps Providers in Improving Healthcare Outcomes
