Innovation
Madhav Patil

Challenging the status-quo – the key to innovation & resilience Learning from the past empowers us to shape our future

Reading Time: 3 minutes Constantly striving for the future unknown, we feverishly plan, consult, and discuss only to see a sliver of what our tomorrow brings. Rethinking the status and going beyond the ‘tried and tested’ methods of the past, we provide a strategy that is robust enough to weather the ups and downs of the future. While sketching out the blueprints and examining our present for clues, we forget one important element. What if the future looks vastly different from our present? Our plans operate under the assumption that tomorrow will look like today, it lulls us all into a sense of certainty that forces us to let our guards down.

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AI/ML
Manjula Mani

Automated annotation for Speed, Accuracy, and Cost Effectiveness

Reading Time: 3 minutes 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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Best Practices for E-commerce Catalogue Management
E-Commerce
Kannan Sundar

Best Practices for E-commerce Catalogue Management

Reading Time: 3 minutes 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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outsmart competitors image -NextWealth machine learning model training process
AI/ML
Kannan Sundar

How to Outsmart Competitors using Machine Learning

Reading Time: 3 minutes 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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Training and validation data for ai image - NextWealth
AI/ML
Kannan Sundar

Why is Training Data important while building Machine Learning Models

Reading Time: 2 minutes 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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LiDAR Annotation services image - NextWealth
AI/ML
Kannan Sundar

LiDAR Annotation for ADAS

Reading Time: 3 minutes 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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