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

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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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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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, 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

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

Here’s how social marketers can leverage AI

  Social media has emerged as a big way to connect with the world and marketers are leaving no stone unturned to tap this. With real-time information on customer preferences, social media has become increasingly popular with marketers, with nearly 84% of B2B marketers using social media. Besides, social media marketing has a 100% higher lead-to-close rate than outbound marketing. But, with a plethora of data at their fingertips, marketers don’t know where to start. This is where Artificial Intelligence comes in.   For years, social media allowed marketers to scale their efforts to a large audience and seek vitality at a minimal cost. Now, AI can help marketers slice… 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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