Isbn: 9798251060737 - ai for accounting: automating bookkeeping, financial reporting, and audit workflows with python (6 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condición: Neu. Neuware - Reactive PublishingArtificial intelligence is rapidly changing how accounting work is performed. From automated transaction classification to intelligent audit analytics, modern tools can assist accountants in managing larger data volumes and more complex reporting requirements.AI for Accounting explores how Python and modern AI techniques can be applied to common accounting workflows, including bookkeeping automation, financial reporting processes, and audit analysis.This book focuses on practical concepts and real-world accounting contexts rather than abstract theory.Inside, readers will explore topics such as: - Using Python to process and analyze accounting datasets- Applying machine learning to transaction classification and anomaly detection- Automating repetitive bookkeeping and reconciliation tasks- Enhancing financial reporting workflows with data automation- Supporting audit procedures with data-driven analysis- Integrating AI tools into existing accounting and finance systemsThe book is written for professionals and students who want to understand how modern data tools can support accounting work without requiring an advanced background in artificial intelligence.Whether working in public accounting, corporate finance, or internal audit, readers will gain a clear view of how AI-driven tools can assist with data-heavy accounting processes.This book provides a practical introduction to the evolving intersection of accounting, automation, and applied data analysis using Python.…

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Reactive PublishingArtificial intelligence is rapidly changing how accounting work is performed. From automated transaction classification to intelligent audit analytics, modern tools can assist accountants in managing larger data volumes and more complex reporting requirements.AI for Accounting explores how Python and modern AI techniques can be applied to common accounting workflows, including bookkeeping automation, financial reporting processes, and audit analysis.This book focuses on practical concepts and real-world accounting contexts rather than abstract theory.Inside, readers will explore topics such as: - Using Python to process and analyze accounting datasets- Applying machine learning to transaction classification and anomaly detection- Automating repetitive bookkeeping and reconciliation tasks- Enhancing financial reporting workflows with data automation- Supporting audit procedures with data-driven analysis- Integrating AI tools into existing accounting and finance systemsThe book is written for professionals and students who want to understand how modern data tools can support accounting work without requiring an advanced background in artificial intelligence.Whether working in public accounting, corporate finance, or internal audit, readers will gain a clear view of how AI-driven tools can assist with data-heavy accounting processes.This book provides a practical introduction to the evolving intersection of accounting, automation, and applied data analysis using Python. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. Reactive PublishingArtificial intelligence is rapidly changing how accounting work is performed. From automated transaction classification to intelligent audit analytics, modern tools can assist accountants in managing larger data volumes and more complex reporting requirements.AI for Accounting explores how Python and modern AI techniques can be applied to common accounting workflows, including bookkeeping automation, financial reporting processes, and audit analysis.This book focuses on practical concepts and real-world accounting contexts rather than abstract theory.Inside, readers will explore topics such as: - Using Python to process and analyze accounting datasets- Applying machine learning to transaction classification and anomaly detection- Automating repetitive bookkeeping and reconciliation tasks- Enhancing financial reporting workflows with data automation- Supporting audit procedures with data-driven analysis- Integrating AI tools into existing accounting and finance systemsThe book is written for professionals and students who want to understand how modern data tools can support accounting work without requiring an advanced background in artificial intelligence.Whether working in public accounting, corporate finance, or internal audit, readers will gain a clear view of how AI-driven tools can assist with data-heavy accounting processes.This book provides a practical introduction to the evolving intersection of accounting, automation, and applied data analysis using Python. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…