AI/ML
Deploying Machine Learning models with MLOps automation
The last few years have seen growing acceptance and adoption of ML and its increasing impact on other technological advancements. The majority…
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…
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…
Shifting from a career in software development to data engineering? Here are some tips
The last few years have seen data being called the “new” gold, and data science jobs are thought to be the coolest…
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…
10 hacks to prepare for data engineering interviews
Data engineers are a crucial part of the tech team and are responsible for data cleaning, preparation, maintaining data pipeline, and more….