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Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale. It benefits businesses by reducing IT costs, scaling computing resources on-demand, and enabling remote work and collaboration.
Data analytics involves examining raw data to draw conclusions and identify patterns. In business, this process aids in making more informed decisions, understanding customer preferences, optimizing operations, and predicting future trends, which can lead to increased efficiency and profitability.
AI plays a crucial role in automating complex tasks, enhancing customer experiences, and providing insightful data analysis. It can streamline operations, offer personalized customer interactions, improve decision-making with predictive analytics, and foster innovation in product and service development.
Automation in the workplace streamlines repetitive tasks, reduces errors, and frees up employee time for more strategic work. This enhances productivity, improves operational efficiency, and can lead to significant cost savings while allowing staff to focus on creative and problem-solving tasks.
Machine learning, a subset of AI, involves training algorithms to learn from and make predictions or decisions based on data. In business, ML is used for predictive maintenance, customer service automation, fraud detection, demand forecasting, and personalizing customer experiences, among other applications.
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