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Artificial Intelligence

Automated annotation for Speed, Accuracy, and Cost Effectiveness

AI-based solutions are the way forward for every industry, and AI solutions across industry segments require large volumes of data labelling. “Supervised Learning” models are trained with accurately labelled large datasets. Semantic segmentation is one of the main challenges in computer vision as it takes quite long to accurately segment an image. Scaling the dataset with accurate labels is a humongous task when done manually. Automated annotation is the solution for data labelling volumes for various AI solutions across different industry segments.

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E-Commerce

Best Practices for E-commerce Catalogue Management

In the post Covid era, having a presence in the eCommerce is a necessity for traditional retail commercial outlets. Customers today have multiple choices for online purchasing, and you will need a seamless and personalized experience for the buyers to retain them. This may sound daunting for a business trying to move online from a […]

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AI/ML

How to Outsmart Competitors using Machine Learning

Peter Drucker once said that the true purpose of a business is to create and keep customers. To make customers see value and to keep them loyal to the brand, it is important to increase the perceived value of the brand’s offerings. Recognizing the value of these offerings enables retailers to guide consumers toward better, […]

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AI/ML

Why is Training Data important while building Machine Learning Models

Sometime, by the end of the first decade of the 21st century, we humans were already contributing to machine learning unassumingly. Me and you, along with millions of unsuspecting users worldwide, digitized the entire Google Books archive by the start of 2012. I assure you, I am not fibbing. If you remember, during the early […]

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Computer Vision

LiDAR Annotation for ADAS

Autonomous driving is an amazing real-world application that has come about with the culmination of advances in various technologies. The first step in this complex system is to perceive the environment, for the complex onboard system in the car to understand what is around it. This perception is achieved by various sensors like Cameras, Ultrasonic, […]

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Blogs

Covid-19: A Game Changer for Working Women

A top official at a major IT company who has 50 directs, is on a Zoom call and is also overseeing her kid’s online classes, while her husband is attending a conference call in another room.  An associate who works at a top BPO firm has been working at odd hours, as she is juggling between […]

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NextWealth

The Power of Solidarity and Empathy during Covid Times

When COVID-19 came knocking at our doors in the month of February, little did we know that this is going to be a long haul, a very long haul. As part of the NextWealth leadership team a few of us were enthusiastically planning our Annual Strategic Offsite scheduled for the first week of March. I remember listing out the top 10 COVID-19 Safety Guidelines for all employees, guided by the WHO site – replacing the friendly official handshake with a strict Namaste! I was indeed greeted with giggles. Incidentally, my sister who was locked down in Hongkong already for a month and a half was aghast at the thought of 50 heads getting together under one roof for the offsite. Not only did the offsite happen, it went as planned and even ended on a musical note. We all came back to our world chuffed about new goals to achieve and renewed deadlines – clueless as to what lied ahead of us.

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AI/ML

NLP – Pope’s baby steps on gays

(2 min read) “Pope’s baby steps on gays*” What! I can see your jaw drop. Obviously, this sentence is not meant to convey what you thought at first. But, Why did we get two interpretations?   “Pope’s-baby steps on gays” – If we take ‘baby’ as a noun, attach it with ‘pope’ to form a noun […]

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NextWealth

Leap of Empowerment

The only way to do great work, is to love what you do.-Steve Jobs With the world’s second largest labour force of 516.3 million people, the latest World Bank report states that approximately 350 million people in India, still live below the poverty line. In 2006, Muhammad Yunus; Nobel Peace Prize awardee remarked during his […]

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