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1. Introduction With the increase in mobile users, customers are contacting businesses through a variety of channels, including social media sites, review websites, email, and live chats at any time of day, which increases the number of requests and complaints generated. When a problem or support request arrives at the ITSM Ticketing...
TechFluence, 2018 is a community-driven technology conference organized by TO THE NEW on 24th March 2018 in Crowne Plaza, New Delhi. We have been organizing GrailsConf, an independent series of global conferences with a complete focus on Groovy, Grails, Gradle and the related technologies from last 5 years. This year we decided to...
AI is the science of making computers perform tasks that would have required human intellect in a traditional scenario. AI gives machines the ability to process information about its environment, perform ‘intelligently,’ and learn to adapt to the changes. AI bots can effectively communicate using human inputs and can also be trained...
Introduction Software testing is an imperative process that ensures customer satisfaction in an application. It is the only premeditated way in test automation where an application can be observed under certain conditions where testers can understand the threshold and the risks involved in the software implementation. Testing helps to...
Problem We had a use case where we needed to use machine learning to make predictions in real time. To give an estimate of what we consider real time - latency less than 10 milliseconds for our predictions. In this blog, we would discuss what is needed to have the kind of latency for machine learning models that we can use in production....
The digital data is growing at an astounding rate, outpacing our ability to analyze it. With the proliferation of smartphones, network connectivity, smart devices, and IoT, the variety and volume of both structured and unstructured data have grown manifold, turning big data into bigger and bigger data. A study by IDC echoes that “By...
In the last blog we discussed supervised machine learning and K-Nearest neighbour technique to solve the classification problem. If you haven’t read the previous blog, it is recommended you read it first. In this blog we will discuss another important aspect of machine learning, called as Unsupervised learning. As the name suggests...
In the last blog we had a brief introduction to machine learning. We also took a shallow dive in classification problem in machine learning. If you have not read the previous blog, you can read it from here. Here, we will discuss how do we solve classification problem. We will use k-Nearest Neighbor algorithm (one of the machine learning...
You would have come across the terms “Machine learning” (or Data mining), or cognitive intelligence, “big data” or “data science” and wondered what they actually are. You might have used some tool or package in your job for data analytics, data modeling etc. but you don’t really know the underlying principles for it. Machine...
Big Data in itself brings many challenges; as is the case with anything related to data. Predictive Analysis is one part which takes up much effort and attention as well. One of the foremost challenge which one comes across is how to get started with the "subject". I would first like to highlight the basic things which one must know, to...
"Machine Learning" - the phrase itself creates a sense of excitement for anyone who has even remotely tried experimenting with making machines "learn" from their past experiences and automatically correct themselves if they are going wrong. The thought itself is so intriguing that not only technologists, but even the film industry has...