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, 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, 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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Satyakam Mohanty, Lymbyc

Natural Language Generation (NLG): Automated Future of Insights and Content Generation

  Insight delivery from market research is a very complex process, which is why adding insight equates to adding value for market researchers and marketers. Insights are hardly an automatic result of research and often, it needs human expertise to determine the proper goals, interpret results, or provide common sense checks for solutions. However, with the entry of technologies like AI, ML, NLP and NLG in the insights and research industry, the very process of insight generation is rapidly changing. These technologies are impacting every area of research right from data collection, analysis to even complex areas like report writing. Understanding the language of the machines with NLG Natural Language… Read More

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Satyakam mohanty, lymbyc

Growing need of merging market research data with behavioral data

  The wealth and sheer volume of data available to organizations has grown exponentially over the last few years. Organizations can tap into various sources like: CRM, digital platforms, social media, POS, IoT to gather data. Capturing behavior is now more possible than ever, however understanding and acting on this data becomes increasingly more complex. The big question is how can research companies best use this data to help organizations with future strategy and decision making? Market research & behavioral data are two sides of the same coin – they need to work together to gain a 360-degree view of the market: Market Research data can help in studying the… Read More

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Satyakam mohanty, lymbyc

4 Applications of NLP You Should Probably Know

  The next time you say “Hey Siri” or “Ok Google”, remember this—they are the products of mankind’s undying love to make machines interact like us human beings do. From understanding what machines want from us to what we want from machines—technology has come a long way. Siri and Ok Google are the products of Natural Language Processing or NLP as it is popularly known. NLP has been most commonly understood as a user interface technology, but its applications are wide ranging and applied extensively across domains and industries. NLP has become a critical technology for enterprises as it unlocks insights and analysis from a huge amount of unstructured data.… Read More

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How AI is leading ‘Digital Transformation’ in Market Research

Insights professionals have spent decades perfecting quantitative methods to analyze data – think survey methodologies; from clustering and factor models to predictive Bayesian analysis.

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Satyakam mohanty, Lymbyc, AI,

How will AI Impact E-commerce businesses in the Near Future?

Gone are the days when people were sceptical about e-commerce, when they were wary of making purchases online. Today, e-commerce exceeds $2 trillion in sales across the globe and is expected to make up 16% of all retail sales by 2021 at $4.479 trillion (source – Emarketer).

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5 Ways AI can Help Sales and Marketing Bridge the Gap

    A lot has been said about AI and the potential it holds for us humans – it has been touted as the panacea and also called the harbinger of global Armageddon. While both these possibilities are exaggerated, one thing that is evident is that there are many benefits to AI, one of which is the role it can play in fostering better sales and marketing alignment. Companies with strongly aligned sales and marketing teams enjoy higher win rates (38%) and are better at closing deals (67%) (Forrester). However, aligning these two departments is often easier said than done. This is where artificial intelligence (AI) comes into play.

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