Software architecture has long faced the problem of operating within system boundaries where specific requirements dominate: ...

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

For enterprises deploying AI applications with similar read-heavy workloads and unpredictable traffic spikes, OpenAI's ...

Medifakt launches a secure health data app, empowering patients with blockchain-based control and AI insights via Apple App ...

How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...

X trust framework provides mechanisms for the automation of compliance and supports interoperability across sectors and ...

Explore how real estate tokenization works through smart contract architecture, enabling secure, transparent property ...

Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with ...

Sai Vamsi Gummadi's AI fraud detection platform processes millions of transactions with Spark/Kafka/XGBoost—75% fewer false ...

Modern CX depends less on where data lives and more on how signals, AI, and governance come together at decision time.

While C-suite leaders say they're investing in agentic AI, the complex enterprise architectures of large organizations often struggle with the tech’s demands. Closing the gap requires tech leaders to ...

Autonomous software is forcing cloud teams to confront weaknesses in networking, identity, cost, and architecture.