Enterprise architecture works best today when it borrows start-up habits — testing fast, learning quickly and scaling what actually delivers value.

In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live ...

The technical approach matters because it represents a different model for enterprise AI deployment. While most vendors build ...

The results are in! This comprehensive study tracks enterprise adoption rates and maturity across key architectural patterns - from cloud data warehouses and real-time analytics to data lakehouses, ...

Building a successful, effective data architecture, regardless of industry or company size, is easier said than done. Becoming data- and analytics-driven requires a specialized, unique plan that fits ...

In this special guest feature, Moises Do Nascimento of Medidata discusses his 3-pronged approach to creating effective data architectures that have served him well, especially now that he deals with ...

In the evolving world of data architecture and analytics, Gopala Krishna Subraya Pai stands out as a thought leader whose ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

With enterprise architecture teams facing growing pressure to demonstrate business value, legacy frameworks often stall when they are not embedded into day-to-day execution. Insights from Info-Tech Re ...

The sooner an organization realizes this as an architectural imperative, the sooner they will be able to capture the efficiency gains this technology is supposed to enable. Those that don’t will be ...