Systems | Development | Analytics | API | Testing

Most test automation tools are sized for one kind of team. The ones a lean QA group can adopt inside a quarter tend to buckle when a compliance officer asks who approved a change and when. The ones large enterprises standardize on often need a dedicated platform team before anyone writes a single test. Anyone who has evaluated tooling knows the feeling of reading a glowing review and realizing it was written by someone at a company nothing like theirs.

For decades, APIs have been the universal handshake of the digital economy. You want data? Call an endpoint. You want to trigger an action? POST a payload. APIs are simple, predictable, and everywhere. But in 2024, Anthropic introduced the Model Context Protocol (MCP), an open standard that dramatically changed how systems speak to one another. MCP enables AI agents to connect with external apps without custom code.

To fully take advantage of AI, your organization needs a solid foundation of automated data integration, context engineering, and an agentic harness.

SAP environments are built to support the business as it grows. Hitachi Vantara’s Virtual Storage Platform One (VSP One) Block High End is certified by SAP to support up to 1,008 SAP HANA nodes. That certification gives organizations a validated benchmark for the scale the platform can support, providing greater confidence as they consolidate, modernize and grow large SAP environments. But scale is only part of what mission-critical SAP systems require.

Healthcare is becoming more connected than ever, but most hospitals still rely on decades old systems to exchange clinical data. At the same time, AI, cloud platforms, patient apps, and new interoperability regulations are driving organizations toward modern API based architectures. According to Deloitte, 90% of healthcare executives expect digital technology adoption to accelerate in 2025, while McKinsey found that 85% of healthcare leaders are already exploring or implementing generative AI.

Learn what data replication is. Explore the best data replication tools, compare pros and cons, and discover how to choose the right solution.