Satyakam Mohanty

“Okay Google, is Conversational Analytics here to stay?”

“Okay Google! When did the US women’s football team last win the World Cup?” “The US women’s team won the football World Cup in 2015, and have won 4 World Cups overall.” “ Alexa I want to buy the US women’s football championship jersey.” “Here are some jerseys you can buy.” Our online browsing and searches have turned conversational. People everywhere are increasingly using voice-activated technology to get answers to their questions in real-time. Enterprises and businesses have thus realized that the conversation has shifted from “mobile first” or “cloud first” to a “conversation first” landscape. This paradigm shift in Conversational AI – having a conversation with a device-assistant like… Read More

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Satyakam Mohanty

Why AI-powered Competitive Intelligence is a Necessity

AI implementation grew a whopping 270 percent in the past four years as per a report by Gartner. Estimates suggest that by 2022, the enterprise AI market will be worth $6.14 billion. As per the Deloitte State of AI in the Enterprise report, 53 percent of enterprise executives expect AI to be of critical strategic importance in the next couple of years. These statistics are not entirely surprising given the immense potential of AI. AI allows companies to identify trends and insights by analysing reams of data, including real-time data. As a result, AI can drastically improve decision-making, and help organizations become more competitive. The massive growth of AI should… 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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AI

Why are Data Scientists crucial for AI?

Today, we are talking about the impact of artificial intelligence (AI) – positive or negative – and how it will surpass the human workforce. The possibilities of AI are numerous but everything depends on big data. Big data is still as relevant as it was 10 years ago as it is still underutilized.

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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

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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