Sigmoid
How to enhance cloud data security for financial institutions
Over the past few years, banking and capital market firms have increasingly realized that the cloud is more than just a solution…
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…
Data-driven revenue growth management for CPGs
Consumer Packaged Goods (CPG) companies are undergoing massive transformation on multiple fronts — changing consumer behavior, new supply chain practices, increasing competition…
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 Nginx Ingress Controller to manage HTTP/1.1 and HTTP/2 Protocols
Load balancers are crucial to access applications through external sources. It acts as a reverse proxy and distributes network or application traffic…
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…