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You just hired a new data analyst who has been working in the field of data science for approximately two years. You ask him to develop a data visualization for effects on productivity due to a new policy change across all India offices of your organization. He munches through the data, draws some excellent insights, and develops the following data visualizations.
Thanks to IoT and AI becoming ubiquitous technologies, we now have more user and trend data than ever. Varying in form, data could be text, image, speech, or a mix of these. Images now constitute a part of user data more prominently than ever.
In a pilot study, Lynchpin’s UK engine achieved a 32% hike in conversion rate and a 23% uplift in revenue Those working in the eCommerce industry would readily understand why the results that Lynchpin achieved are exemplary…
Convolutional neural networks (CNN) are among the more popular neural network frameworks that are used in complex applications like deep learning models for computer vision and image recognition. Over the years, CNNs have undergone a considerable amount of rework and advancement. This has left us with a plethora of CNN models. Let’s discuss the more…
According to an estimate, approximately half of all online queries will be voice searches. A voice-bot enters the pictures at precisely this point, handling a voice-based search. We’ve been using voice-bots for quite some time now, such as Alexa, Siri, Cortana. All the personal digital assistant are voice-bots by nature. What is a Voicebot? A…
Time series is a technique in machine learning that is used for the prediction of events through a sequence of times. A lot of problems involve and are dependent on the time component. At the same time, it is the very same component that makes problems complex to handle. Despite its complexity, it is used in…
Why is customer sentiment analysis different? The act of understanding customer sentiment goes beyond carrying out a Net Promoter Score (NPS) survey or asking them to give a rating. To truly be the brand that ‘gets its audience’ businesses have to read between the lines. For this, businesses can use sentiment analysis to analyze which aspects of…
Video analytics helps to digitally analyze video inputs. It transforms these inputs into intelligent data that is used for making decisions. This is done by using mathematical algorithms that monitor, analyze, and manage a large number of videos. On an advanced level, audio can also be processed along with the video to carry deeper and more…
According to a Capgemini study in 2019, 74% of the digital services users depend on their voice-based assistant to research and buy products and services, create a shopping list, and check order status. Now, we’re all familiar with Siri, Alexa, Echo, and Google Assistant. However, have you ever wondered how these digital assistants understand your…
Deep learning is receiving a lot of attention recently, and for all the right reasons. This technology is delivering results that were not possible to achieve before. What is Deep Learning? In deep learning, a computer program learns to identify, differentiate, and contextualize data unstructured data such as images, text, and sounds. The underlying framework…