GHEBTECH

  We will discuss business strategy with Machine Learning and Deep Learning in this essay. In CRM, how are machine learning and deep learning used? Consider the following scenario: Up-selling and cross-selling will be discussed. Upselling is when you encourage a customer to purchase more of the same type of product than they had planned, whereas cross-selling is when you persuade a customer to purchase more of a different product than they had planned. In some circumstances, cross-selling is now considered part of up-selling. - Create a tagged dataset comprising up-sell, cross-sell, defer, and pull transaction information for customers. - Link the information to past conversations and online activities. - Correlate the data with other customers based on age, gender, occupation, where they live and work, and other information. Up-selling and cross-selling techniques include the following: Sell a model that is more expensive than the consumer anticipated, for as a smartphone with a l...

Artificial intelligence, machine learning, and especially deep learning technologies will contribute to the development and enhancement of all those important areas designated as a potential for the fourth industrial revolution in the future evolution of the industry. Nanotechnology, biotechnology, 3D printing, robots, autonomous cars, IoT, 5G, and smart devices, as well as cloud computing approaches, are all included. Deep Learning and Machine Learning can be very successful as a filter, as a controller, to collect information and put it into the Big Data analysis engine, because the types of data are so different. In addition, real-time estimations will be generated using Deep Learning and Machine Learning. These real-time predictions are based on data acquired in real time. Then there's Real-Time, IoT Data, Internet of Things, where global situation awareness, condition, and status of the environment are all incorporated into the system, and Deep Learning and Machine Learning ar...

  Business Intelligence vs Big Data Because it allows a corporation to obtain information from sources other than its own internal sources, Big Data can be considered a component of Business Intelligence. Big Data is frequently the source of information that leads to BI insights. Business intelligence refers to a wide range of data, including large internet databases that are classified as Big Data. Big Data, on the other hand, refers solely to these massive data sets. There are significant differences between Big Data and business intelligence products. Standard data sources can be handled by BI software, however, it is not ideal for Big Data administration. For Big Data processing, it is required to use specialist platforms. Similarly, Corporate Intelligence refers to all business processes and data analysis techniques that make Big Data collection easier. As a result, Data Mining, which can be regarded as a type of Business Intelligence, is included. Data Mining, in particular, ...