人工智能在金融领域的力量：机遇与挑战.pdf

1、Harnessing the Power of AI in Finance:Opportunities and ChallengesBy Raghavkumar ParmarAI OpportunitiesData CollectionAI can help speed up process of data extraction and data augmentationData AnalyticsAI can help parse through vast amount of data and analyze it fasten process of decision making.Auto

2、mationAI can take over repetitive tasks in finance like loan processing,fraud detection and personalized marketing to improve efficiencyAI has immense potential to transform finance through data collection,data analytics and process automation.Fine-tuning AlgorithmsUsing AI to fine tune Algos which

3、can be used to make faster trading decisionsPortfolio ManagementOptimizing portfolios and making data-driven investment decisions using AIRisk ManagementDetecting financial risks and anomalies using machine learning algorithmsFraud PreventionAI can flag potentially fraudulent transactions for furthe

4、r investigation,helping to prevent fraudulent activity before it occursRegulatory ComplianceAutomating regulatory processes and ensuring compliance using natural language processingCredit ScoringAssessing creditworthiness of customers using predictive analytics and machine learning modelsAI Applicat

5、ion in FinanceWeb ScrapingUsing AI to scrape the internet to gather data which can be used for making trading decisionsData AnalyticsUsing real-time data from Web data scrape to update financial models real-timeBack-testingUsing historical positioning data to back-test scenarios like short squeeze a

6、nd margin recallUses cases of AI at Hedge FundsBack-testing OutputAlgorithm biasEnsuring AI-driven decisions do not perpetuate biases or discriminate against individuals or groups.Lack of explainabilityEnsuring interpretability and transpar