Recent Posts by Nisha Shoukath

Deep Learning improving Quality Control in Manufacturing

With the increased demand in the market for goods and services, the manufacturing industry is pressurized to produce and supply mass production. This has demanded industries to speed up the manufacturing process and deliver standard quality goods buy-able to customers.

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Future of Artificial Intelligence in Legal

There was an experiment conducted in 2017 in London, with 100 lawyers participating in the event. The experiment involved finding accuracy in credit card irregularities in applications sent to the Finance Ombudsman. Where lawyers predicted an accuracy of 66.3%, a trained AI program achieved the accuracy of 86.6%.

Imagine a lawyer doing research for a case. Where humans may take weeks or even months to complete a particular research, AI will complete the research and provide results in a matter of seconds. Here, Artificial Intelligence will be able to perform better than experienced lawyers. 

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How Artificial Intelligence Is Transforming Agriculture

Agriculture is how humans started to mold nature according to their needs. Humanity may have come a long way since then, changing the ways and methods of farming, but the basic objective remains the same; improving the quality of crops.

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Workplace Safety on a Manufacturing Shop Floor Using Computer Vision

Just a few decades ago, workplace safety in manufacturing used to be an afterthought. Workers in the manufacturing industry may recall many near-miss accidents that have occurred, especially related to heavy equipment and lack of safety controls. 

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Automated Image Tagging In E-commerce Using Machine Learning

Image recognition, machine learning and visual search have changed the way we interact with the world. This latest development in machine learning has transformed the e-commerce industry. Automated tagging of images play a crucial role in visual search. In an age of instant gratification, consumers follow the snap, find, and shop technique. The user clicks a product picture, finds a similar item on an app, and purchases it. Discovering products becomes much easier using tagged images rather than text-based keywords.

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Personalization in B2B Ecommerce Using Machine Learning

From fashion to farming, every industry must adapt and reinvent. Businesses must make sure that they make the necessary changes to remain relevant. Thus, the need to apply Artificial Intelligence in daily processes becomes a necessity.

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10 E-commerce Personalization Examples for Optimal Conversions

The shift in consumer preferences and technological advancements is transforming the way people shop online. E-commerce businesses are using artificial intelligence to win over customer trust and loyalty through effective personalization. When there are plenty of products on offer, it’s highly important to showcase the right product to the right consumer.

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E-commerce Product Recommendations - A Simple To Understand Guide

As an e-commerce platform, don’t you feel your customers are spoilt for choice? Whether it be groceries, accessories, home decor, or anything under the sun, consumers are exposed to unlimited options. This makes the decision-making process relatively more complex. So how can you make your customer’s life easy? Of course, through AI-powered product recommendations, so that they finalize what to buy based on ‘what’s trending’, ‘‘top sellers’, etc. 

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How to Boost E-commerce Personalization With Machine Learning

Buzzwords like ‘Big data’, ‘Machine learning’, and ‘Artificial Intelligence’, are now being used on a day to day basis and there’s a reason for it. The solutions offered by Artificial Intelligence makes a big impact on organizations, especially industries like E-commerce. Online stores have access to a huge amount of customer data and can use it to optimize their services. Machine learning helps in that by using digital data at a quicker rate.

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Understanding the Basics of Content Categorization

We generally categorize everything that we come across in life, for example, we group books, music, and movies into specific genres based on their special characteristics. Digitization has helped apply the same concept to online content such as web pages, blog posts, news, e-books, and other learning content. With the immense increase in online availability of information, data needs to be found easily and analyzed faster. This is where content categorization steps in.

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