Satyakam Mohanty

NLG: A single para worth a 1000 in Pharma

Today’s industries are storehouses of data. Though big data is valuable, what we have is overflowing data with no real insight. Gathering actionable, data-driven findings that create business value is a herculean task for any industry and it is even more challenging for the pharmaceutical industry. This is due to availability of excessive amounts of data coupled with stringent national and international regulations. This is where NLG comes in – the AI translator that helps convert data into natural language representation. With technology progressing faster than ever before, next-gen NLG software has the ability to summarize large amounts of data and elucidate the numbers. This is why I say that… Read More

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Satyakam Mohanty

Accelerate Your Sales Results with Machine Intelligence

Ever bought a product or a vacation, and it seemed to suddenly pop up on your search page or in your email inbox? If you said yes, then that’s an ML algorithm at work, monitoring your online activity and making relevant recommendations. With AI becoming an everyday reality, the role of sales teams is constantly changing. A Harvard Business Review study found that sales teams that adopted AI saw more than 50% increase in leads and appointments, cost reductions of 40%–60%, and call time reductions of 60%–70%. Intelligent ML driven sales technologies are streamlining selling by reducing time-consuming manual tasks and increasing productivity. They are also automating account-based marketing support… Read More

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Satyakam Mohanty

The Patient will see you now

As the pharmaceutical sector becomes increasingly democratized, patients are emerging as key decision makers. Digitally enabled by the entry of non-traditional tech companies such as Apple, Facebook and Google, they are pushing the sector to move beyond the pill and provide personalized care.  Here are some ways in which pharma companies are applying AI and IoT to build digital convergence across the pharmaceutical value chain. Real-time listening and monitoring Majority of the users today use the internet regularly to research health-related topics. However, in addition to finding information, they like to discuss different medications and treatments, as well as giving and receiving advice in online forums and social media platforms.… Read More

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Satyakam Mohanty

Micro Targeting: a new ingredient for customer engagement

Humans are inherently lazy, which may be a trait left over from our ancestors’ days of conserving energy for the next hunt. Our nervous system continuously optimizes movement, in real time, to use the least amount of energy possible; therefore it comes as no surprise that since time immemorial, humans have had the fascination to build things which are less time consuming and more efficient. The idea is to make human effort less redundant and more valuable than what currently exists. This has led to industry led technology disruptions such as automation that helps in accelerating business outcomes that supersedes its potential. Automation is rapidly shifting the way organizations sustain… 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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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

Powerful ways in which AI is revolutionizing healthcare

  AI is getting increasingly sophisticated at doing what humans do but in faster, more efficient and cost effective way. According to CB insights study by 2020, healthcare organizations will spend an average of $54 million on artificial intelligence projects, with investments primarily geared toward improving business operations. There is no doubt that the potential AI holds for healthcare is vast. Here are five of the advances in healthcare AI that appear to have the most potential.

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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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