The Importance of Empathy in our Workplace

Being empathetic is one of the most important skills you can have in the workplace, which can help you improve your communication and develop strong relationships with your clients and colleagues.
According to a study on workplace empathy by businessolver, 76% of employees believe the presence of empathy inspires more motivated employees…
6 Ways Netflix Uses the Power of Analytics

Netflix is the undisputed king of streaming entertainment, with over a hundred million subscribers. Its low churn rate of 9% and massive use of big data analytics have helped it become the world’s leading entertainment provider. In addition, its recommendation system is responsible for influencing over 80% of the streamed content on its platform…
Innovative Use Cases of AI in Automotive

Artificial Intelligence (AI) in conjunction with Machine Learning (ML) algorithms is fast replicating and is poised to surpass human decision-making. This is apparent in the automotive industry where it is improving user experience and enabling faster innovation cycles. This is spurred by the enormous data that the AI-enabled solutions…
How To Pick The ‘Right’ Job – A Guide for Developers

Technology applications are now becoming increasingly complex and touching multiple points of the organization. These applications are now not only supporting businesses but in fact, running them. There is hardly any industry that remains unaffected by technology advancements and immune to the software impact…
Let’s Talk about Your Career (and Personal) Growth at Ascentt

Talk about X Analytics, deep learning, digital automation, data fabric, decision intelligence, data catalog, predictive and preventive maintenance, NLP, cognitive computing, decision tree and random forest, neural networks, machine learning, supervised and unsupervised learning, regression and classification, real-time video and image processing, computer vision, and more, Ascentt is acing at them all.
Deep Learning vs Machine Learning – Yes, There Is a Difference

Deep learning (DL) and Machine Learning (ML) have dominated the world of Artificial Intelligence (AI). The first DL and ML revolution started in 2012 and the tech world has never looked back since. Continuous advancements have also marked the journey of DL/ML-based AI. Both these advancements in technology have evolved a lot over the past few years…
Understanding the Difference between Descriptive, Diagnostic, Predictive, and Prescriptive Analytics

In this age of digital content, the volume of data that enterprises generate, process, and analyze, is humongous. Data Analytics is being used by enterprises across various industry verticals and sizes to extract meaning and insights out of the raw data. The influx of data has led businesses to use Business Intelligence tools…
Here is What Real Artificial Intelligence Looks Like!

Artificial Intelligence (AI) is the simulation of human intelligence by machines that are programmed to think and behave like humans. It also refers to all traits of machines that tend to learn from experience and take part in future problem-solving based on such experiences. AI comes with its fascinating characteristics and applications that unveil the maximum efficiency of the technology…
What Is Serverless Analytics In AWS?

Serverless. Analytics. No servers needed. Such a cool concept, isn’t it? Serverless Analytics in AWS is used for storing and querying data in AWS without writing any code for the back-end infrastructure. And you don’t need a single server to do that. If you are reading this article,…
The Must-Have Critical Skills When You’re Working with A Niche Technology Company

Working in technology can be demanding and challenging. That’s because of this career path’s never-ending demands and constant development and evolution. Due to these factors, aspirants need to be aware of the critical skills they’ll need to learn and develop to make a mark in the field…