AI/ML
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…
10 must-have skills for Data Engineering jobs
In today’s fast-paced business landscape, the ability to efficiently design, build, and manage data pipelines is crucial for enterprises aiming to extract…
Automate data ingestion to enable near real-time access to insights
CPG Companies across the globe are looking to get more insights into the latest sales trends from their retailers, to make informed…
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…
5 tips for preparing resume for a Data Engineering interview
Data engineering is a highly specialized field. From distributed computing to building data pipelines, data engineering requires multidisciplinary skills. The term data…
DataOps: 5 things that you need to know
DataOps (Data Operations) has assumed a critical role in the age of big data to drive a definitive impact on business outcomes….
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…
How to use MLOps for an effective AI strategy
87% of machine learning projects fail to make it into production. Deploying ML models in business use cases involves working around several…