AI explainability (XAI) continues to challenge business to explain underlying reasons of a ML model behavior. With the advancement of various algorithm such as DL (Deep Learning – ANN, RNN, CNN, GPT, LSTM etc.) predictability has been increasing while inferabilty/explainability
XAI demand continues to grow across all industries primarily in finance and medical science. Before we decline loan, increase EMI amount or suggest some medical treatment (as a proactive measure), we need to have all pertinent data, indicators and logic
As discussed in previous part, we continue building intuition before jumping into its (SVM) underlying mathematics. Please read previous part before reading this post. Our goal is to find the optimal hyperplane (it could be line, plane or hyperplane depending
Fintech industries have been catching up quite well in blending advance analytics with RPA (Robotic Process Automation) implementation in its business process in the journey of digital transformation. Human time is too expensive to be wasted in carrying out mundane and
Application Performance Management (APM) has become the necessity in current IT landscape to maintain continuous application vis-à-vis business performance traction. Enterprises including IT services, BFSI services, product industries etc. are all applications driven and dependent upon applications ranging from online