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, ...

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, ...

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 ...

The ongoing dive into modernity—and all the new technologies and hype trains that come along with it—requires a modern data architecture to support it. With this architecture comes a variety of other ...

As organizations scale their AI and analytics efforts, a data architecture that is “up to snuff” is even more critical to business success. Data teams are being asked to deliver faster insights, ...

A key challenge in meeting the demanding processing requirements of AI and machine learning is being able to churn through a mountain of code. NextSilicon, a startup in computing solutions for AI and ...

Businesses are racing to harness sprawling data across multiple cloud platforms. Ashitosh Chitnis stands at the forefront of this movement—an architect of scalable, enterprise-grade data solutions ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...