Prescriptive Analytics may be defined as the branch of analytics which provides guidance on how to make optimal use of data and gain maximum output from it. It is related to both descriptive analytics and predictive analytics, but it helps users to determine the best solution among various possibilities. Descriptive analytics offers BI insights into […]
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Data Quality Management, first step is to measure of how fit a data is to serve specific needs of business. Quality data is always useful. Business leaders are gradually becoming aware of the importance of the quality of data and its impact. However, if data is not complete or consistent, then it can lead to
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Hyperautomation is a set of advanced technologies used to develop the process of automation in any enterprise. Gartner had coined the term in 2019. It is an emerging approach to automation. It is a key factor in digital transformation and can help build fluid organizations who are capable of adapting to changes quickly. Components of
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Since computers have started handling large, unstructured datasets, data scientists and mathematicians have run multiple models on large data to come to a conclusion. Thus, big data is quite familiar and much more preferred by companies and analysts alike. But now, Big Data is set to move out of the spotlight with more and more
AI focus shifts to Small and Wide Data Read More »
This year the Nobel Prize in Economics has been awarded to three economists – David Card, Joshua Angrist and Guido Imbens. One half of the Sveriges Riksbank Prize in Economic Sciences is presented to Canadian-born David Card, 65 who currently works at University of California, Berkley. His natural experiments on the impact of fast-food segment
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We use deep learning algorithms mostly to classify images amongst a huge collection of images/videos. However, Few Shot Learning (FSL) is another set of algorithms which helps to build machine learning models using very less training samples. If configuration is done properly, one shot or few shot learning can be used for facial recognition and
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What is TinyML TinyML is that segment of machine learning which can be used to develop low power-consuming devices that can run on both machine learning and deep learning models. TinyML has a significant role in combining the machine learning community with IoT technology. By using it, we can directly deploy models and gain insights
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Computer Vision (CV) is the field of AI which helps computers replicate the human visual system and enables computers to identify images, videos like we do. One such vital application of computer vision is facial recognition, digital image processing. There are many industry applications as well. Computer vision algorithms are heavily utilized to understand customer
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NoSQL can be defined as a schema-less, non relational database management system that does not require a fixed schema. The term NoSQL stands for ‘non SQL’ or ‘not only SQL’. It is the next generation database management system. Data storage costs have reduced and number of applications and query needed to store have increased. Thus,
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