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data analytics

Innoplexus’s Proprietary CAAV Framework for Intelligent Big Data Analysis

The amount of data currently being produced by the life sciences industry is exploding. Medical information alone is expected to double every 73 days by 2020,1 and much of this data is unstructured. If we want to put this extremely complex, vast ocean of data to use, we need to crawl, aggregate, analyze, and visualize …

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Extracting Medical Data with Computer Vision Technology

Computer vision is one such AI technology that has seen exponential breakthrough over the last few years. Today, the technology is being realized in many forms and to solve various problems across different industries. Besides its very popular application in facial recognition and driverless cars, one of the attractive uses of computer vision is data …

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The importance of quality control in the vast data ocean of Life Sciences

Through the Internet, we have access to a vast ocean of life sciences data, and AI provides us with the tools to tame it. In data analytics, for example, it is important to collect the data most useful for generating relevant knowledge. AI enables this by specifying the context of interest to filter data by …

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Understanding ontology for better insight into the Life Sciences data ocean

The rapid advancement in the field of AI, and the necessity of extracting knowledge and generating insights from data to find sustainable solutions, demanded computers distinctly understand the language of the particular industries. Industry-specific terms used for research enables data analysis such that relevant insights are generated. With an ontology that consists of the relevant …

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What is Data Analysis?

We live in a data-driven world. The volume of data is exploding – created by private consumers, businesses and machines across the globe. 2025 the volume of global data is forecast to reach up to 180 zettabytes – that’s a figure with 21 zeros before the decimal. This includes information from business transactions, scientific research …

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