Data Science MeetUp: Predictive modeling supported by artificial intelligence

2023. April 26. - 2023. April 26.
KPMG (Váci street 31) & online,

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Discover the latest trends, techniques, and applications of predictive modeling in various industries, including finance, manufacturing, telecommunications, and healthcare. Learn from industry experts and gain insights into how predictive modeling can help you make better decisions, optimize operations, and improve outcomes. Whether you are a data scientist, analyst, or business professional, this meetup is a must-attend event to stay ahead of the curve in the rapidly evolving field of artificial intelligence.

Fraud detection in banking and finance – By analyzing large volumes of data using predictive modeling and machine learning algorithms, banks and financial institutions can detect fraudulent activities and prevent financial losses.

Supply chain optimization – Predictive modeling can help optimize supply chain operations by predicting demand patterns, identifying bottlenecks, and optimizing inventory levels to reduce costs and improve customer satisfaction.

Predictive maintenance in manufacturing – By using predictive modeling and machine learning, manufacturers can predict equipment failures before they occur, enabling them to perform maintenance proactively and minimize downtime.

Customer churn prediction in telecommunications – By analyzing customer data, predictive modeling can help telecommunications companies identify customers who are at risk of churning and take proactive steps to retain them.

Healthcare diagnosis and treatment – Predictive modeling can help healthcare providers improve patient outcomes by predicting disease progression, identifying patients at risk of developing complications, and recommending personalized treatment plans.

These are just a few examples of the successful applications of predictive modeling supported by artificial intelligence. The potential use cases are vast, and as technology continues to advance, we can expect to see more innovative applications of this technology in the future.

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