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AWS Machine Learning

Delivering machine learning (ML) solutions on the AWS Cloud

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Machine learning helps to derive insightful information from large volumes of data by leveraging algorithms identifying patterns and learning in an iterative process. ML algorithms use computation methods to learn directly from data instead of relying on any predetermined equation that may serve as a model.

Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns, and then create and implement predictive applications. It helps to assist businesses in developing, putting into practice, deploying, and managing ML solutions for operational issues. Establish the appropriate ML strategy, choose the best AWS administrations, and safeguard ML solutions.

With more than 170+ certified AWS experts, Tiger Analytics has successfully implemented ML and other AWS services for numerous customers across industry verticals.

Machine learning helps to derive insightful information from large volumes of data by leveraging algorithms identifying patterns and learning in an iterative process. ML algorithms use computation methods to learn directly from data instead of relying on any predetermined equation that may serve as a model.

Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns, and then create and implement predictive applications. It helps to assist businesses in developing, putting into practice, deploying, and managing ML solutions for operational issues. Establish the appropriate ML strategy, choose the best AWS administrations, and safeguard ML solutions.

With more than 170+ certified AWS experts, Tiger Analytics has successfully implemented ML and other AWS services for numerous customers across industry verticals.

Tiger MLOps Platform: Key Features
Data
Data is ingested from various sources, cleansed, transformed, and cataloged for easy search and analysis. A data model is then defined to structure the data for efficient use.
Analysis
Explore data through univariate and bivariate analysis. Build and store features using a dedicated tool, along with pre-built workflows for the Oil & Gas industry.
Modeling: ML models & Registry
ML code templates to tackle common solution design like Regression, Classification, etc.
Output
Deliver insights through dashboards and reports. Deploy, monitor, and retrain models to ensure ongoing effectiveness.
Use Cases for ML
01
Fraud Detection

Achieve faster and more efficient detection, reducing the need for manual review time. Additionally, handling large datasets becomes more manageable, leading to better predictions at a cost-effective price point.

02
Predictive Maintenance

Machine learning optimizes resource allocation and extends equipment life, resulting in significantly less downtime and boosting productivity for a healthier bottom line.

03
Recommendation Engine

Personalization, continuous Improvement and cost-Effectiveness help businesses increase user engagement, improve customer satisfaction and retention, and drive revenue growth.

04
Contact Center Intelligence

Companies can leverage intelligent tools for scheduling, marketing, sales, customer service, and workflow optimization.

Our Accelerators

  • AutoML
  • Tiger NLP Library
  • Tiger CV Library

AutoML

strength
AutoML
  • Build best-in-class models
  • Compare black-box vs. transparent models
  • Build pipelines for deployment

Tiger NLP Library

strength
Tiger NLP Library
  • Codified NLP libraries & pre-trained modules

Tiger CV Library

strength
Tiger CV Library
  • Developed and successfully productized CV projects across various domains
  • Data scientists (100+) experienced at solving complex CV-based problems

Customer Stories

Extracting intelligence from conversations powered by AWS’s native ML services
Extracting intelligence from conversations powered by AWS’s native ML services
A prominent retail and commercial bank partnered with Tiger Analytics to address critical objectives such as categorizing customer interactions
Read Moreshp-arrow-topright-large
Tiger Analytics Powers Faster Data-to-Insights Visualization For Pharma Co with AWS SageMaker
Tiger Analytics Powers Faster Data-to-Insights Visualization For Pharma Co with...
Early and accurate disease prediction is paramount in the race for groundbreaking medical advancements. A leading pharmaceutical company is at the forefront of this pursuit,
Read Moreshp-arrow-topright-large
Extracting intelligence from conversations powered by AWS’s native ML services
Extracting intelligence from conversations powered by AWS’s native ML services
A prominent retail and commercial bank partnered with Tiger Analytics to address critical objectives such as categorizing customer interactions
Read Moreshp-arrow-topright-large
Tiger Analytics Powers Faster Data-to-Insights Visualization For Pharma Co with AWS SageMaker
Tiger Analytics Powers Faster Data-to-Insights Visualization For Pharma Co with...
Early and accurate disease prediction is paramount in the race for groundbreaking medical advancements. A leading pharmaceutical company is at the forefront of this pursuit,
Read Moreshp-arrow-topright-large
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