ML Archives - Tiger Analytics

Blog Tags: ML

AI in Beauty: Decoding Customer Preferences with the Power of Affinity Embeddings

The beauty industry is leveraging AI and machine learning to transform how brands understand and serve customers. This blog explores how Customer Product Affinity Embedding is revolutionizing personalized shopping experiences by mapping customer preferences to product characteristics. By integrating data from multiple touchpoints — purchase history, social media, and more — this approach enables hyper-personalized recommendations, smart substitutions, and targeted campaigns.

Invisible Threats, Visible Solutions: Integrating AWS Macie and Tiger Data Fabric for Ultimate Security

Data defenses are now fortified against potential breaches with the Tiger Data Fabric-AWS Macie integration, automating sensitive data discovery, evaluation, and protection in the data pipeline for enhanced security. Explore how to integrate AWS Macie into a data fabric.

Data Science Strategies for Effective Process System Maintenance

Industry understanding of managing planned maintenance is fairly mature. This article focuses on how Data Science can impact unplanned maintenance, which demands a differentiated approach to build insight and understanding around the process and subsystems.

Defining Financial Ethics: Transparency and Fairness in Financial Institutions’ use of AI and ML

While time, cost, and efficiency have seen drastic improvement thanks to AI/ML, concerns over transparency, accountability, and inclusivity prevail. This article provides important insight into how financial institutions can maintain a sense of clarity and inclusiveness.

Maximizing Efficiency: Redefining Predictive Maintenance in Manufacturing with Digital Twins

Tiger Analytics leverages ML-powered digital twins for predictive maintenance in manufacturing. By integrating sensor data and other inputs, we enable anomaly detection, forecasting, and operational insights. Our modular approach ensures scalability and self-sustainability, yielding cost-effective and efficient solutions.

Building Data Engineering Solutions: A Step-by-Step Guide with AWS

In this article, delve into the intricacies of an AWS-based Analytics pipeline. Learn to apply this design thinking to tackle similar challenges you might encounter and in order to streamline data workflows.