Latest in Technology
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
Machine learning (ML) is the heart of AI products (Alexa, Siri, Cortana, Driverless Car etc.), algorithms are the core component of ML and mathematics is brain behind these algorithms. While data scientists can build model without requiring to deep dive
Introduction: Deriving meaningful information out of heap of data is the minimal requirement for any establishment today for its survival & sustenance. There are many terminologies and buzz words related to this area that blurs the meaning leaving people confused,
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
Artificial Intelligence and related terms such as Cognitive computing, Data Science, Robotics, Predictive Analysis, Machine Learning etc. have been drawing attention over the past few years of almost all institutions and not limiting to only business, technical or academics. AI
Imagine a customer is entering the retail shop and we want all crucial data points about him or her (viz. buying behavior, interest area, personality traits, recent purchase etc.) available instantly to enable salesman to make an adequate sales pitch,
Back up process has been in our IT ecosystem for ages. Over the period of time people has been using “backup process” as a term interchangeably for synchronization, data transfer, copying data files and also while developing HA (High Availability)
IT enables business to grow faster and run smoother. IT and Business must go beyond strategic alignment; rather IT should be the part of business ecosystem, meaning IT need to be involved in the making of business product, business process,
Context: Digital economy needs much better network capacity (bandwidth) and broader coverage (access) than what is mostly available today. We have estimated the projection of 50 Billion devices talking to each other by 2020 in the course of IoT evolution.
Business and respective IT units need to speed-up time to market and adapt to evolving market demands to stay competitive in digital economies. This requires an underlying agile IT with a data center infrastructure that helps to boost the efficiency