Do traditional storage architectures need to be updated? After all, nearly every enterprise storage system that's available today is fundamentally based on an architecture that is now decades old – ...

Forbes contributors publish independent expert analyses and insights. Robert, founder of KramerERP, covers AI, ERP, SCM, data and security. In 2025, enterprise data platforms support business ...

Enterprise AI is exposing the limits of data platform, forcing CIOs to decide when to extend a warehouse, adopt a lakehouse and invest in the semantic layers, governance and business ownership. (Image ...

The financial services industry is entering a new technological era as businesses are dealing with an unprecedented amount of data and analytics. Legacy data infrastructure of financial companies, ...

Fabiane Nardon shares how TOTVS prepares enterprise data for token-hungry AI agents. She discusses balancing deterministic ...

The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms—driven largely by the explosive rise of GenAI and large language ...

Traditional data platforms supported enterprise decision-making by managing, processing and analyzing data to drive better business outcomes. Companies used to rely on these platforms to centralize ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--GlobalLogic, a Hitachi group company, today announced a first-of-its-kind Platform-of-Platforms architecture designed to support deployment of enterprise-grade ...

Today’s big data technology stack includes databases, data management and integration software, and data analytics tools – all critical components of an effective operational or analytical data system ...

Abstract— Financial institutions increasingly require real‑time insights to support fraud detection, instant payments, liquidity monitoring, and AI‑driven decisioning. Traditional ETL‑centric ...