{"id":11107,"date":"2023-09-08T14:29:00","date_gmt":"2023-09-08T20:29:00","guid":{"rendered":"https:\/\/www.ikusi.com\/en\/?p=11107"},"modified":"2023-09-08T14:29:00","modified_gmt":"2023-09-08T20:29:00","slug":"how-to-improve-business-decisions-using-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.ikusi.com\/en\/blog\/how-to-improve-business-decisions-using-artificial-intelligence\/","title":{"rendered":"How to Improve Business Decisions Using Artificial Intelligence"},"content":{"rendered":"\n

Years ago, artificial intelligence (AI) transitioned from being a mere idea in futuristic movies to playing a leading role in today’s society. Its applications have stood out in multiple sectors, from health and education to entertainment and finance. However, in the business field, there is still unexplored territory. <\/p>\n\n\n\n

Artificial Intelligence for Big Data Analysis<\/strong> <\/h2>\n\n\n\n

One of the benefits that AI brings to businesses is its application for data analysis. The ability to extract valuable insights from a large volume of information is vital for strategic decision-making<\/strong>, although it is not always easy due to the rapid pace at which data grows.\u00a0<\/p>\n\n\n\n

For the human eye, it is impossible to process such an amount of data, but AI makes sense of it, categorizes it by level of usefulness, and identifies patterns among them. With AI applied to big data, it is possible to: <\/p>\n\n\n\n

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  1. Detect deviations or fraud<\/strong>: AI highlights anomalies or unusual behaviors that could indicate fraud, security breaches, or operational problems. This is crucial to maintaining the integrity of systems and processes.\u00a0<\/li>\n<\/ol>\n\n\n\n
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    1. Determine future probabilities<\/strong>: Through the recognition of historical data patterns, AI can predict future events or trends. This is especially valuable in areas such as agriculture (where it is important to know the weather in advance) and in areas such as financial analysis, health, or logistics, as it guides preventive or preparatory decision-making.\u00a0<\/li>\n<\/ol>\n\n\n\n
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      1. Recognize patterns<\/strong>: Big data contains massive amounts of information that are difficult to analyze manually. AI can identify subtle and complex patterns in these data sets, allowing actionable information to be extracted.\u00a0<\/li>\n<\/ol>\n\n\n\n

        Data Visualization with Artificial Intelligence<\/strong><\/h3>\n\n\n\n

        Another important benefit of applying AI in data analysis is visualization<\/strong>. Through the use of AI algorithms and techniques, graphical representations can be created for better interpretation of complex data sets.<\/strong> AI can be used to improve data visualization by:\u00a0<\/p>\n\n\n\n