Tag: geetika tandon

Technical debt's repercussions can reverberate throughout a business, creating long-term issues. And let's be clear: we're not just talking about code here.

Machine learning-based systems bring the potential for business growth, but also carry some challenges and risks. Being aware of the latter is the first step.

Use the VDOCR model to build your ML implementation plan: Vision, Data, Organizational alignment, Change management and Revalidation.

Most organizations are still at the point where machine learning as a technology remains in the realm of research and exploration.

Many of the measures enforced in response to the pandemic will continue to have a huge bearing on workplace practices, policies and behaviors in 2021.

Above all, the past five years of digital transformation have taught us the importance of agility as businesses struggle to keep pace with change.

Building a dynamic cloud strategy is about first understanding your existing IT portfolio and then taking smart decisions on migrating or rebuilding.

Modern applications respond to four needs of the modern workplace: scalability, portability, resiliency and agility.

Software development's evolution shows that segregating various parts of the industry is detrimental to the process and ultimately leads to an inferior product.

Technology has become the lifeline of the world we live in today. Without it the world would be at a standstill.

Business process automation and RPA are complementary technologies which can be part of a total modernization approach based on need and viability.

Designing our applications as small independent units is the first step towards building a modern infrastructure that is nimble, agile and scalable.