Data Management
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…
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…
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…
Amplifying business value of analytics with Cloud data warehouse
Cloud data warehouses enable companies with a scalable data infrastructure and the ability to handle high-performance analytics workloads. The pandemic has further…
Top data and analytics trends for 2021
Over the past several years, organizations have progressively embraced data analytics as a solution enabler when it comes to optimizing costs, increasing…
Data Science and Cloud – The future of analytics
The number of devices connected through the Internet of Things (IoT) is increasing rapidly. Statista estimates that there will be about 50…
Microservices-based architecture: Key to scaling enterprise ML models
The last decade has seen wholesome innovations in the field of artificial intelligence and machine learning (AI/ML). Today, progressive enterprises are increasingly…
ETL on Cloud: How is cloud transforming ETL for Big Data Analytics
From streamlining the flow of information, to making business intelligence available faster at scale along with safeguarding data and lowering cost of…