AI/ML
Top 5 model training and validation challenges that can be addressed with MLOps
Digitalization turned from being an advantage into a necessity for organizations across the industries in the last couple of years. As the…
Why is data engineering critical to CPG marketing success
With most business processes transitioning to digital, the volume of data generated is witnessing exponential growth. Digital marketers today understand that the…
Build a winning data pipeline architecture on the cloud for CPG
The CPG industry has historically had little exposure to consumer data. But, with the surge in digitization and a shift in customer…
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 role of a data engineer has gained prominence and sparked curiosity about the data engineer career path and the possibilities it…