Satyakam Mohanty

What is Machine Learning bias and how to overcome it?

Machine learning (ML) has emerged as a popular and effective AI learning technique. This isn’t surprising, given its remarkable ability to sift through humongous volumes of data and find patterns that are simply not obvious to humans. What is even more remarkable is its ability to learn from data over time and to deliver extremely accurate insights and predictions. Of course, no matter how great your algorithm is, the quality of insights eventually depends on the quality of data that is being fed into the algorithm. If the data is not accurate, it can prove to be an Achilles heel that can result in tricky errors. One great example is… Read More

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Lymbyc

NLP helping organizations make ‘intelligent’ decisions

A decade ago, we couldn’t have dreamt that someday we would be interacting with machines as though they were human. Natural Language Processing (NLP) is changing the way humans interact with machines owing to huge advances in machine learning. NLP tools such as Siri, Google assistant, Cortana, Amazon Alexa and Bixby have shown us that machines can hold a reasonably intelligent conversation with humans. NLP techniques enable machines to detect and identify patterns in human languages in order to carry out tasks such as speech recognition and sentiment analysis. Why is NLP Important? Through NLP, non-programmers are able to obtain useful information from computing systems. From an enterprise’s perspective, NLP… Read More

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Satyakam Mohanty

AI’s potential in changing the workforce

  Talking about the future without artificial intelligence is impossible. After the paradigm-shift in our work culture due to Big Data and the Internet of Things (IoT) transforming everyday devices into smarter ones, AI is now making analytics even more efficient and productive. Data volumes are exploding and there is more data created in the past two years than in the entire history of the human race. By 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet. The human workforce will not be exempt from this seismic wave. So what practical changes are we expecting in the coming years? Will AI actually… Read More

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Satyakam mohanty

The emergence of voice search

  The growth of voice search has been exponential in recent years. There is no doubt about the fact that technology is changing and our interaction with the internet is also transforming. From small-tail keywords to long-tail ones, we are now moving towards ‘voice’. You can now pick up an iPhone and ask “Siri” to play a song of your choice or even shout, “Hey Alexa” to find Italian recipes for your next feast. There’s a growing tendency among users to rely on voice command or digital assistants to find answers.

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Satyakam Mohanty

Why is AI powered customer engagement a must now?

  In 2017, Aeromexico launched a customized AI system, a neural network that was built on the foundation of machine learning. At the Facebook’s F8 Global Conference, the company announced that it went from zero to 96% automation of its customer service function and that its AI-powered platform, which learns as it goes by scanning and analyzing previous customer service transcripts, reduced the average customer service resolution time from an average of 16 minutes to just 2 minutes.   I cited the above example to highlight just how important AI has become for customer engagement. The sheer volume of fragmented consumer data that is generated these days often erodes the… Read More

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Satyakam Mohanty, hashonezero.com

The Third Wave of AI – Be more Human

  When the British mathematician Alan Turing designed the Turing test in 1950 as a means of measuring whether a computer was capable of demonstrating intelligent behavior equivalent to or indistinguishable from that of a human, he unleashed what was perhaps the first known benchmark for the performance of Artificial Intelligence systems.

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Satyakam Mohanty, Lymbyc

How AI makes data more “Intelligent”

  In the fast-paced world of today, there is a constant urge for companies to grow, and this has led to stiff competition among them. This is where Data comes in and now more than ever, data quality is the primary determinant of one staying above the competition.

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Satyakam Mohanty

Impact of Artificial Intelligence in Pharma: An overview

  Today, AI is being implemented in every industry that we can think of. Some use it as a buzzword to generate hype while others truly understand the full potential of the value it brings. To keep up with the 21st century, the pharmaceutical industry is constantly on research mode and AI is drawing plenty of attention in the industry. The widespread success of AI in several industries has led many big pharma companies to invest in it.

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Satyakam Mohanty

How can Insight firms manage privacy and data security concerns?

  Data is an invaluable commodity for businesses and this is why data security has become their top priority. Many international regulators are holding organizations liable for any privacy or security breaches. The recent Facebook – Cambridge Analytica data leak scandal,  EU slapping a second $11 billion antitrust case on Google and now YouTube being made liable for copyright violating videos – all point towards how rampant data security breaches are and how serious the consequences of such violations can be. For businesses that deal with consumer data like market research firms, the burden of responsibility is huge. With stricter regulations like the GDPR coming into enforcement since May 2018,… Read More

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Satyakam Mohanty, Lymbyc

5 ways in which AI is revolutionizing online surveys

  Surveys are a great tool for companies to understand their target market better. However, poor data quality is one of biggest challenges these firms face while conducting traditional surveys. Often, the participation might be low or the type of people taking the survey may not be indicative of the desired research subjects, resulting in low-quality data. Survey farms, incentivizing completion, and even fake data can result in skewed results that are unpredictable. Furthermore, participants sometimes simply tell brands what they want to hear making the answers heavily biased. More often than not, it is the structure of the survey – the questions and the options provided as answers by… Read More

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