AIML improve fraud detection accuracy in financial institutions

How Does AI/ML Improve Fraud Detection Accuracy in Financial Institutions?

In the U.S. financial services sector, every dollar lost to fraud incurs an additional $4.23 in costs, including legal, processing, and investigative expenses. Fraud typically falls into three categories: physical attacks, violations of the Four Eyes Rule (requiring multiple approvals), and digital fraud like identity theft and phishing. While physical and internal fraud involve direct theft

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IoT in enhancing Supply Chain Visibility and Efficiency

Role of IoT in enhancing Supply Chain Visibility and Efficiency

What is IoT, and why is it dominating the supply chain management? By 2025, 75% of manufacturing operations worldwide will utilize the power of Internet of Things (IoT) technology for operational excellence and visibility. This statistic, along with the forecasted global market size reaching US$ 41.8 billion by 2033 , emphasizes the urgency for supply chain management to swiftly adopt IoT.

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Azure Sentinel Security for Fraud Detection in Finance

Azure Sentinel Security for Fraud Detection in Finance

Financial service providers are always working to reduce the risks of fraud and financial crimes, which keep evolving due to technological advancements, global events, and interconnected financial systems. Many companies expect these risks to rise in the next year and doubt governments’ ability to keep up with technology and rising criminal activity. To bridge this gap, over two-thirds of respondents are focusing on investing in their own technology.

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10 ways Azure Data Factory is improving the workforce management in Logistics

Workforce management in logistics entails the strategic planning, allocation, and coordination of human resources to enhance supply chain efficiency. It addresses the complexities of managing distributed labor and fleet operations unique to the logistics industry. This involves recruiting, deploying, and managing workers across distribution centers, warehouses, and transportation networks.

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Building accounting system with Azure SQL Database for complex Financial Analysis

As we know, accounting systems often involve complex calculations that require efficient handling of large volumes of financial data. Building an accounting system with the Azure SQL Database offers a powerful platform for complex financial analysis that complements traditional tools like Excel. While Excel is widely used for its user-friendly interface and manual data manipulation capabilities, Azure SQL Database excels at handling large volumes of financial data and executing complex mathematical operations efficiently.

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