Guavus Blog

Effort tracking tools have been known to be instrumental in helping project leads manage and ration resources to meet the deadlines timely and efficiently. However, there is often a gap in knowing versus implementing.

Productizing data science applications is complex and requires a huge level of expertise in domains from development to integration to run mode. The monolithic application paradigm is no longer valuable nor valid, and Guavus has the best level of skills to help its customers adopt and build reliable micro-services based architectures.

This article is a condensation of practices observed over a period of 2 years, that have increased the effectiveness of a software development team. The results have been higher customer satisfaction, increase in business and improvement in quality.

Result validation is a very crucial step as it ensures that our model gives good results not just on the training data but, more importantly, on the live or test data as well. This is why a significant amount of time is devoted to this process while building a machine-learning model.

Transparency is one of the three pillars of Empiricism in Scrum theory – the other two being Inspection and Adaptation. Let’s look at the reasons for why it remains critical to implementing the Agile methodology in any organization.