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Understanding MongoDB and NoSQL Database

NoSQL data sets arose in the latter part of the 2000s as the expense of storage drastically diminished. The days of expecting to create a complicated, hard to-oversee data model to avoid data replication were long gone and the primary expense of programming and development was now focused on the developers themselves, and hence NoSQL databases were brought into the picture to enhance their productivity.

As storage costs quickly diminished, the measure of data that applications expected to store increased, and the query expanded as well. This data was received in all shapes and sizes — organized, semi-organized, and polymorphic — and characterizing the schema ahead of time turned out to be almost incomprehensible. NoSQL databases permitted the developers to store colossal measures of unstructured data, providing them with a ton of flexibility. 

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Boost Customer Service Using Artificial Intelligence

Customer experience is rising to become the top priority of many business companies nowadays. The expectations of these customers with the services provided by an organization are also growing with each passing moment. The need is to have a system that can guarantee improved customer satisfaction, which is where artificial intelligence (AI) plays a key role.

With the help historical data, AI is being used to minimize the chances of errors while providing extremely accurate analysis and solutions. More and more organizations are using AI to improve their customer interactions and experiences, by searching for immediate solutions and actions regarding opportunities that can boost customer experience and simultaneously provide them leverage over their respective competitors. This helps achieve goals such as; lower customer churn, higher revenues, less staff turnover, and increased growth.

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Is Kafka the Next Big Thing in the Banking and Financial Sector?

Nowadays, businesses are seeking innovative methods to digitally transform themselves by utilizing key technologies to promote business intelligence and increase profitability. The terms "insights" and "data" carry much significance and are a crucial aspect to enhancing the customer experience. Technologies, such as Kafka, benefit organizations across industries in manifold methods.

With its real-time streaming data architecture and real-time analytics feature, Kafka is certainly the talk of the town. According to recent statistics, over one-third of Fortune 500 companies have leveraged Kafka.