Data Management
Role of AI/ML in enhancing overall equipment effectiveness for Industry 4.0
The manufacturing industry has historically been a hotbed of innovation. And, manufacturers have always pursued greater speed, scale, and simplicity across operations…
Using Datawig, an AWS deep learning library for missing value imputation
While training a Machine Learning model the quality of the model is directly proportional to the quality of data. However, in some…
Best practices for adopting multi-cloud strategy in your organization
The era of cloud dominance is here, and businesses are in the race to harness its power. Today, 85% enterprises are projected…
5 ways IoT-based predictive maintenance generates business value
The ability to predict faults and address them before they reach critical condition is indispensable, and being able to perform maintenance while…
Striking a balance between data privacy and personalization with marketing analytics
The proliferation of digital media has already had a profound impact on how consumers engage with companies. More recently, the COVID-19 pandemic…
Creating a transparent and resilient supply chain with analytics
As companies start resuming operations globally following the pandemic hiatus, the impact of a prolonged period of supply chain disruption has started…
How to detect and overcome Model Drift in MLOps
Machine learning (ML) is widely regarded as the cornerstone of digital transformation, yet ML models are the most susceptible to the changing…
Increased profitability & customer lifetime value through personalization
Product recommendations based on personal preferences have taken customer-centricity to a whole new level. Advances in technologies such as data analytics and…
Online marketing spend optimization for a CPG brand on a leading eCommerce platform
To remain relevant and competitive in the market, a majority of CPG companies have shifted their focus on a deeper analysis of…