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AI in Financial Decision Making

De (autor): Arif Ahmed

AI in Financial Decision Making - Arif Ahmed

AI in Financial Decision Making

De (autor): Arif Ahmed

Written by experts who have trained global audiences in finance and designed real-life solutions, this book provides exactly what financial decision-makers need: a survival kit for disruptive times.

The increasing use of AI has posed challenges and brought benefits at organizational and individual levels. However, financial decision-makers are often not equipped with the necessary skills and may even feel threatened by the speed at which AI is automating the decision-making process. Taking a balanced view encompassing applications from operations, finance, and risk management, this book does not aim to turn finance experts into coders but to clearly connect AI and ML tools to specific business issues. This will help financial decision-makers actively engage with projects involving the implementation of ML tools in their organizations. Beyond simple ML tool identification, the book goes one step further and provides representative codes that the reader can use by tweaking information to make it relevant to their own situation. To keep up with the rapid developments in AI and ML, the book is accompanied by a website where tools and codes will be regularly updated as standards change.

Anyone involved in financial decision-making will find this book to be an invaluable resource, whether CFO, finance director, management accountant, budget officer, auditor, strategic planner, or early career professional.

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Written by experts who have trained global audiences in finance and designed real-life solutions, this book provides exactly what financial decision-makers need: a survival kit for disruptive times.

The increasing use of AI has posed challenges and brought benefits at organizational and individual levels. However, financial decision-makers are often not equipped with the necessary skills and may even feel threatened by the speed at which AI is automating the decision-making process. Taking a balanced view encompassing applications from operations, finance, and risk management, this book does not aim to turn finance experts into coders but to clearly connect AI and ML tools to specific business issues. This will help financial decision-makers actively engage with projects involving the implementation of ML tools in their organizations. Beyond simple ML tool identification, the book goes one step further and provides representative codes that the reader can use by tweaking information to make it relevant to their own situation. To keep up with the rapid developments in AI and ML, the book is accompanied by a website where tools and codes will be regularly updated as standards change.

Anyone involved in financial decision-making will find this book to be an invaluable resource, whether CFO, finance director, management accountant, budget officer, auditor, strategic planner, or early career professional.

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