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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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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Satyakam Mohanty

How AI augments Retail outcomes

One of the biggest outcomes of the digital revolution has been the overwhelming amounts of data being produced every single day. Estimates suggest that 2.5 quintillion bytes of data is being generated each day. With greater digitization and the proliferation of IoT based devices, this number is set to grow. If leveraged in the optimum fashion, digital data holds a veritable gold mine of information and insights that can help companies transform every aspect of their business right from how they source materials, communicate with customers, market their products, manage their inventory, and take executive decisions. The retail industry stands to gain tremendously from this data revolution. While the industry… Read More

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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

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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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

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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