Descriptive analysis is the analysis of historical data to determine what is, what has changed, and what patterns can be identified.
Considered the most basic type of analysis, descriptive analysis involves breaking down big data into small pieces of usable information, so that companies can understand what is happening in a given business, process or set of operations. Descriptive analytics can provide insight into current customer behaviors and business trends to support decisions about resource allocations, process improvements, and overall performance management. Most industry observers believe that descriptive analysis represents a large part of the logical analysis used by companies today.
Prompt engineering is the process of designing correct guidance and instructions (prompts) to get the best results from big language models (LLM) and AI systems. The power of AI models relies on their ability to produce accurate results with given input.
Advanced Fraud Detection is an approach that uses advanced technologies such as artificial intelligence, machine learning, and big data analytics to detect and prevent fraud
Cascading is a platform for developing big data applications on Hadoop.
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