Automation

The speed at which modern software enters the digital ecosystem has reached a point where manual oversight is no longer just slow; it is mathematically impossible to sustain. As organizations grapple with an explosion of machine-generated code, the traditional boundaries of quality assurance are

Anand Naidu is a veteran in the ERP space, specializing in the critical transition from "launch" to "leverage." With a deep understanding of both technical architecture and the human elements of digital transformation, he helps organizations navigate the often-turbulent waters that follow a

AI Coding Tools: Why Slower Tickets Can Mean Better Software Generative AI arrived in engineering with a promise of instant acceleration. Many leaders expected near-linear productivity gains, only to see a different pattern emerge in practice. In several controlled settings, elite developers using

The long-standing bottleneck of software development has finally met its match as the era of manual, brittle script-writing gives way to the fluid intelligence of generative systems. For decades, quality assurance was a reactive discipline, a frantic race to catch bugs before they reached the user,

The traditional reliance on periodic batch processing has reached a critical bottleneck as modern organizations demand immediate insights from an ever-expanding ocean of fragmented information. While legacy systems were designed to move snapshots of data from one location to another at scheduled

Modern enterprises are currently navigating an era where the silent failure of a single background process can ripple through a global supply chain in seconds, making the visibility of automated workflows a matter of operational survival. As digital transformation matures, the role of automated