The Role of AI in Financial Forecasting and Predictive Analytics [Video]

Academic Publications:
https://ggu.academia.edu/SudarshanSenthilvel

Author: Sudarshan Senthilvel © 2024
Research Blog Napkin Link: https://tinyurl.com/DBAday6

In this podcast, we dive deep into the transformative role of Artificial Intelligence (AI) in financial forecasting and predictive analytics. AI is reshaping the financial industry, allowing for more accurate predictions, risk assessments, and data-driven decision-making. From machine learning models to deep learning and natural language processing, AI helps businesses and financial institutions navigate complex datasets and identify trends that drive smarter investments and risk management strategies.

We discuss the various AI techniques used in financial forecasting, including machine learning models like decision trees, neural networks such as RNNs and LSTMs, and the power of natural language processing in analyzing market sentiment. You’ll learn how AI is revolutionizing stock price prediction, risk management, credit scoring, and portfolio management. We also highlight the advantages AI offers, including higher accuracy, scalability, and reduced human error, while addressing some of the challenges like data quality, model transparency, and ethical concerns.

Stay tuned as we explore the future of AI in finance, including advancements in quantum computing, explainable AI (XAI), and the integration of external data sources. Whether you’re a financial analyst, investor, or tech enthusiast, this video will provide valuable insights into how AI is changing the landscape of financial forecasting.

Key Topics Covered:
AI Techniques in Financial Forecasting
Machine Learning, Deep Learning, and NLP Applications
Stock Price Prediction and Portfolio Management
Risk Management and Credit Scoring
Ethical and Regulatory Concerns in AI
Future Trends in AI and Finance

References:
Chen et al., 2021: Hybrid models for stock price prediction using machine learning techniques.
Serrano-Cinca et al., 2020: Credit risk and fraud detection in financial markets using AI techniques.
Bruckner, 2022: Ethical concerns in AI-driven financial forecasting.

Hashes:
#AI #FinancialForecasting #PredictiveAnalytics #MachineLearning #DeepLearning #StockMarket #RiskManagement #PortfolioManagement #QuantumComputing #Fintech #NLP #BigData #ExplainableAI #FinanceTech #FutureOfFinance #Investment #CreditScoring