Digital transformation is highly prized but poorly understood. While more than two-thirds (69%) of directors want their organisations to accelerate digital business initiatives, as many as 80% of IT ...

A key characteristic of classical project management is its sequential and linear approach to project planning and execution. It involves detailed upfront planning, such as creation of a comprehensive ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

“Gone are the days of three-year $50 million software programs. Now, I want returns on investment within three to five months. We need to change the way we develop software so that we can get things ...

Since the term “microservices” hit the software industry like a bolt of lightning in 2014, technical professionals of all stripes have been analyzing this new architectural style from their own frames ...

True digital transformation initiatives require change at multiple levels of the organization. Revamping the customer experience with digital technologies is never a superficial change, as it requires ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Automotive software is becoming more expensive and central to a car’s identity. Infotainment, advanced driver-assistance systems (ADAS), traction control, and even powertrain management are all shaped ...

Many medical device companies develop software using a traditional waterfall methodology in which each step is taken in sequence: requirements, design, implementation, verification, and validation ...

The Army’s digital transformation in recent years has centered on improving networks, cloud computing, and data. Now, the service wants to rework how it handles software development—by centralizing ...

That insight comes from a recent report by RAND Corporation, the global policy think tank, based on interviews with 65 data scientists and engineers with at least five years of experience building AI ...