6 Sales Processes That You Need to Automate Now

By Devi Singh on Oct 14, 2020 12:19:45 PM

Converting prospects into customers­ – the ultimate goal of closing more sales – depends on how you prospect your customers.

Are you doing it any differently? By differently we mean using automation to nudge your prospect to take the next step in the journey. If yes, it’s great if not then read on.

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7 Amazing Examples of Image Recognition Apps

By Archna Oberoi on Aug 26, 2020 6:11:21 PM

Humans have exceptional power for image recognition. High-level image understanding, contextual knowledge, and the ability for parallel processing are some of the factors that contribute to precise recognition of objects, places, people, writing, and actions. However, humans develop these abilities over time and have a limitation as well. When it comes to recognizing images from a large set of data, human processing power might fail.

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Top 5 Pre-Trained NLP Language Models

By Daffodil Software on Aug 12, 2020 5:19:47 PM

Natural Language Processing (NLP) is a pre-eminent AI technology that’s enabling machines to read, decipher, understand, and make sense of the human languages. From text prediction, sentiment analysis to speech recognition, NLP is allowing the machines to emulate human intelligence and abilities impressively. 

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CNN vs. RNN: What's the Difference?

By Archna Oberoi on Aug 11, 2020 3:38:00 PM

Machine Learning is one of the proficient technologies that we have for pattern recognition, data mining, statistical analysis on large volumes of data. It’s enabling machines to recognize intricate patterns and make intelligent decisions, without human intervention. In order to achieve this, the ML technology is accompanied by neural networks.

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Back to Basics: 5 Crucial Components of Machine Learning

By Archna Oberoi on Aug 5, 2020 5:56:57 PM

The human brain has got tremendous potential. On an everyday basis, it performs hundreds and thousands of tasks- such as recognizing faces, learning from experiences, memorizing facts, identifying objects, understanding words & languages, recognize intent & sentiments, and more. There are billions of neurons in the brain that network together to accomplish these tasks.

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7 Interesting Applications of Natural Language Processing (NLP)

By Archna Oberoi on Jul 29, 2020 9:28:26 AM



On average, a human speaks 700 words per day, which includes the words of actual value (i.e. words that have an intent to communicate to another person). Instant messaging, telephonic conversations, books, movies, songs, verbal (F2F) communication are amongst some of the common ways humans exchange their thoughts and information.

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What are Language Models in NLP?

By Archna Oberoi on Jul 15, 2020 6:00:00 PM

Have you noticed  the ‘Smart Compose’ feature in Gmail that gives auto-suggestions to complete sentences while writing  an email? This is one of the various use-cases of language models used in Natural Language Processing (NLP).

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Artificial Intelligence, Machine Learning, Deep Learning: What’s the Difference?

By Archna Oberoi on Jul 14, 2020 6:05:00 PM

Over time, there has been an astronomical rise in the number of ways Artificial Intelligence can be utilized for the betterment of everyday lives. The technology is almost everywhere- in traffic predicting Google Maps, in video surveillance cameras, in face recognition apps, in speech recognition & language translation solutions, etc. In fact, AI is one of the trending technologies during the COVID-19 pandemic.

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How Artificial Intelligence is Helping Fight the COVID-19 Pandemic

By Archna Oberoi on Jun 30, 2020 7:00:00 PM

The COVID-19 pandemic has affected over 9 million lives worldwide. The virus infection is disseminating like wildfire, putting pressure on the global economy and marking a downfall of various businesses. 

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An Overview of Image Classification Using Transfer Learning

By Archna Oberoi on Apr 29, 2020 3:20:08 PM

For humans, classifying objects in an image is straightforward, as compared to machines. This process of classifying objects in an image, known as Image Classification involves labeling of images into predefined classes. Since there can be  n number of classes into which an image can be classified, manual classification (when there are thousands of images) is difficult for humans too. That is why automating the process of object identification and classification with machines is gaining ground.

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