Data Management
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…
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…
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…
Best practices for adopting multicloud 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…
5 ways IoT-based predictive maintenance generates business value
The ability to predict faults and address them before they reach critical condition is indispensable, and being able to perform maintenance while…
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…
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…