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Since its inception, Artificial Intelligence (AI) has come a long way both as a concept and as a technology. Today, AI is an integral part of the most demanding and fast-paced industries across verticals. One of such sectors in fin-tech services and AI has well asserted its importance to the sector well enough. Let’s look…
Exploratory data analysis is one of the best practices used in data science today. EDA is all about using statistical modeling and visualization techniques to reform the available data. The reformation is carried out to filter out essential aspects of that data for further analysis. At an advanced level, EDA involves looking at and describing…
In the digital era, volumes of sensitive data are maintained by governments and enterprises. Cyber security involves the deployment of various methods that protect this information technology from unauthorized access. However, the nature of cyber-attacks is constantly evolving. Therefore, it becomes imperative that businesses and national bodies invest in artificial intelligence to bolster cyber security….
Customer Acquisition and AI Customer acquisition is the process of convincing a consumer to buy your products. A customer acquisition manager takes into account the cost associated with this process when measuring the efficiency of a customer acquisition strategy. For a customer acquisition strategy to be deemed efficient, the profit garnered from acquiring a customer…
Thanks to the rapid adoption of Artificial Intelligence (AI) and Machine Learning (ML) across industries, AI and ML have found a place in the common vocabulary. Almost every sector of the industry (healthcare, e-commerce, IoT, banking & finance, etc.) are leveraging AI and ML to streamline business operations and create innovative products/services. So, when everyone…
Artificial Intelligence (AI) systems can process and analyze massive data sets which makes them uniquely suitable for data segmentation processes. The process through which an AI algorithm learns is known as machine learning (ML). An AI algorithm needs to learn from training data (sample set) first. There are three modes in which an AI algorithm…