We tell you about the five types of cyber attacks that you should be careful of in 2023. Read below to find out more.
Read MoreCommon Cyber Threats in 2023 | Cyber Threats


We tell you about the five types of cyber attacks that you should be careful of in 2023. Read below to find out more.
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With the increase in the volume of BigData and the great growth in cloud computing, cutting-edge BigData Analytics Tools have become critical to achieving meaningful data analysis. In this blog, we will look at the best BigData Analytics tools and their essential features.
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Big data generated by sensors account for a large portion of the benefits that smart, connected products (SCP in the scheme) may provide. Sensors (either physically attached to smart things or located nearby to monitor the environment of smart, connected products, processed materials, and so on) play specific roles in data collection.
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Business Process Automation(BPA) improves compliance so that businesses do not violate regulations and face large penalties and fees; it also implements controls in a business to reduce fraud and theft. It can also speed up processes, allowing work to be completed more quickly and with less repetition.
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Deep Learning, which is currently a popular topic, has firmly established its roots across a wide range of sectors that are investing in fields such as Artificial Intelligence, Big Data, and Analytics. In this blog, we discuss deep learning. Read on to find out more.
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Business Automation, also known as “business process automation” (BPA), systematically replaces error-prone, manual operations with just-in-time analytics, open collaboration, and intelligent rules-driven automation. This is frequently accomplished through the use of solutions such as business automation software.
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Companies must be able to exchange and analyze data as soon as it becomes available, as business is moving faster than ever before. Historically, data processing has been largely completed through EDI (Electronic Data Interchange) batch integration, which is not instantaneous. However, a newer, real-time approach to communicating with trading partners and customers has recently gained traction. This is known as real-time integration.
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The role and responsibilities of a data scientist can vary from organization to organization; therefore, we can categorize them as follows.
The following are the responsibilities of a data scientist in any organization:
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