DT AI IN STOCK MARKET |FAI | SNSINSTITUTIONS

Описание: #snsinstitutions #snsdesignthinkers #designthinking
This video explains how Design Thinking methodology is applied to build AI-driven stock market prediction systems, transforming raw financial data into intelligent investment insights.

🧠 Design Thinking Stages Covered:
🔹 Empathize – Understanding investor pain points: market volatility, emotional bias, information overload
🔹 Define – Identifying real-world problems like inaccurate predictions and high-risk decision-making
🔹 Ideate – Exploring AI solutions using Machine Learning, Deep Learning, and Sentiment Analysis
🔹 Prototype – Designing an AI model using historical stock data and real-time market feeds
🔹 Test – Evaluating accuracy, risk control, and decision performance

🤖 AI Technologies Discussed:
• Machine Learning algorithms (Linear Regression, LSTM, Random Forest)
• Natural Language Processing (NLP) for news and social media sentiment
• Big Data analytics and cloud-based trading platforms
• Ethical AI and risk management

📊 Industry Relevance:
✔ Used by fintech companies and hedge funds
✔ Aligned with industry practices (Google, Amazon, Bloomberg, Zerodha)
✔ GATE and university exam–oriented concepts
✔ Real-time problem-solving approach