Cloud

Creating a single source of truth for banks to accelerate productivity and customer satisfaction
The digital revolution has created a huge influx of data across the banking industry in terms of payments, online transactions, loans, and…

Real-time marketing measurement with multi-touch attribution for CPG
Digital marketers are looking for near-real-time intelligence on each customer touchpoint to optimize campaigns and create personalized customer experiences. Multi-touch attribution (MTA)…

3 ways data engineering and real-time data analytics can boost productivity on the factory floor
Maximizing productivity while ensuring highest product quality and sustainability has always been crucial for the manufacturing industry. Traditionally, manufacturers have relied on…

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…

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…

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…

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…

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…