Satyakam mohanty

Can marketing afford to ignore Predictive Analytics?

We are naturally curious beings and are so invested in the future and what it holds for us. Perhaps that is why astrology, horoscopes, palm readers, and their ilk continue to thrive. In fact one of the movies which dwelt upon this subject of predictive analytics in the human context was “Minority Report” where pre-cogs – humans with the ability to see the future – are used to stop crime. It is this curiosity of the future and how it can be leveraged in the business context that has led to predictive analytics gaining momentum. In fact in many businesses, it is an integral part of their growth and marketing… Read More

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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

Automated Machine Learning: A new Paradigm

Automated Machine Learning or AutoML has emerged as an exciting new branch of AI/ Machine Learning. Existing Machine Learning algorithms require a certain amount of pre-processing of the dataset to make it suitable for machine learning and this requires considerable expertise and knowledge of ML. AutoML helps automate this process. In essence, AutoML is the process of automating automation. Not only does AutoML help expedite the process of creating AI solutions, it also helps create superior solutions. The emergence of AutoML can certainly situate itself in the life cycle of growing ML products and help bump up their demand by leaps and bounds. Here are four reasons why: Addresses the… 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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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

Predictive Analytics: Opening new data horizons for the CPG Industry

The CPG industry has undergone some sweeping changes over the last few decades. Globalization, coupled with the free flow of information via the Internet, has brought in both opportunities as well as greater competition. For CPG companies today, the world is their market. Yet, they need to work that much harder to sell their products and predict sales cycles. The new reality has created several challenges related to the supply chain, demand forecasting, and inventory management. Given the immense diversity of users, markets, and channels, the CPG industry needs to grapple with huge volumes of data and contend with products that have a relatively shorter shelf life. Traditional analytics processes… Read More

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Healthcare decides better with NLP

Natural Language Processing (NLP) can play an important role in facilitating the extraction of this data from diverse formats and language styles to a common format. NLP works great in these scenarios because it facilitates the seamless interaction between computers and humans using natural language.

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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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