AI/ML
Best practices for adopting multi-cloud strategy in your organization
Companies today stand at the threshold of a cloud revolution. The shift towards hybrid/multi-cloud architectures has allowed companies to select more than…
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….
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…
10 must-have skills for Data Engineering jobs
In today’s fast-paced business landscape, the ability to efficiently design, build, and manage data pipelines is crucial for enterprises aiming to extract…