While popular advancements in data science, machine learning (ML), and AI have been at the forefront of data-centric business, data engineering is the metaphorical match that keeps these exciting ...

As organizations scale their AI and analytics efforts, data architecture has become ever more critical to success. Data teams are being asked to deliver faster insights, stronger governance, and ...

As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation across asset servicing. Through re-engineering — which usually involves ...

Enterprise AI is evolving rapidly, with trusted data and modern infrastructure playing crucial roles in its success. As organizations increasingly rely on AI to drive decision-making and innovation, ...

Mukul Garg is the Head of Support Engineering at PubNub, which powers apps for virtual work, play, learning and health. In my journey through data engineering, one of the most remarkable shifts I’ve ...

Embracing modern architecture is now a necessity for staying competitive and innovative. Automation of high-quality data is at the forefront of modern data architecture, with security and flexibility ...

Siddharth Dixit, a seasoned Principal Architect with over 15 years of expertise, has been at the forefront of IT modernization and digital transformation within the insurance sector. Specializing in ...

Naresh Erukulla explains how robust data engineering and AI orchestration at Macy's enhance retail forecasting, saving USD 100 million in supply chain costs.