Artificial Intelligence in Finance
- 1. AI in Finance Evolve Machine Learners
- 2. What is Machine Learning?
- 3. About Industry: In the Financial industry we address three primary segments: ● Capital Market Banking ● Consumer Banking ● Insurance Industry ● Stock Market
- 4. Emerging Trends: ● Increased risk management, requirements and regulations ● Growth of agile, mobile and web based technologies ● Emergence of AI, Machine Learning and Deep Learning.
- 5. Financial institutions are the perfect example of the term Big Data But What is Big Data? Big Data in Finance?
- 6. 3 Vs of Big Data
- 7. AI in Big Data:
- 11. Deep Learning:
- 12. Deep Learning:
- 13. Drivers of AI in Finance:
- 14. Drivers of AI in Finance(Contd.):
- 15. Use cases of AI in Finance: ● Sentiment Indicators ● Trading Signals ● Fraud Detection ● Credit Scoring ● Insurance ● Client-Facing Chatbots ● Portfolio Management
- 20. Fraud Detection: ● Machine Learning ○ Logistic Regression ○ Decision Trees ○ Random Forest ○ Clustering ● Deep Learning ○ Recurrent NN ○ LSTMs
- 21. Chatbots: Why banking needs chatbots? ● Better Customer Experience ● Keep up with changing customer behaviour Banking Chatbot use cases: ● Personal Banking Services ● Uninterrupted customer support ● Customer Feedback and Measurements ● Delivering Personalized Marketing ● Employee Self Service
- 22. World's Biggest Banks using Chatbots: ● Bank of America(Erica) suggests ideas how a customer can save money, gives reports on their FICO score, and encourages payment of bills within the banking application ● JP Morgan(COIN) a bot which can analyze complex legitimate contracts quicker and more proficiently than human lawyers. The bot has helped JPMorgan spare more than 360,000 hours of labor. ● Capital One(ENO)
- 23. A peek into Machine Learning in Square: ● Risk management and fraud detection ● Square Capital business lending ● Predicting best product for sellers’ needs ● Predictive Customer support
- 24. Future of AI in Finance: The uses of AI and machine learning should continue to be monitored. As the underlying technologies develop further, there is potential for more widespread use, beyond the use cases discussed. It will be important to continue monitoring these innovations and to update this assessment in the future.
- 25. ● Jobs ● Freelance ● AI Startups How can you build your career in AI & Machine Learning?
- 26. Jobs ● Artificial Intelligence jobs posted on Linkedin. 5000+ ● Average AI job commands six figures. $100,000 - $130,000 (per year).
- 27. AI Job Positions Source: glassdoor.com
- 28. Freelance ● AI & Machine Learning jobs posted only on upwork today. 200+ ● Average per hour rate of an AI freelance engineer: $40-$100 on upwork
- 30. Freelance AI Engineers on Upwork and their per hour rates
- 34. AI Startups AI will produce world’s first Trillionaires. -Mark Cuban
- 35. A New Trend Trend is changing from “Every business is a software business” To “Every business is an AI Business”
- 36. There is an AI solution to every business problem - Finance (Safer Trading, Fraud Prevention, Personalized Investment Plans) - Marketing (Automating Repetitive Tasks, Sales Through Images and Videos, Content Generation) - Customer Support (Handling Multiple Customers at a Time, More Effective Phone Support) - Medicine (Mining Valuable Information From Untapped Data, Effective Treatment Plans, More Efficient Primary Care) - Real Estate (Better And Faster Communication, Automating Property Valuation, Promoting Rental Booking, Relevant Product Recommendations, Customer Engagement) - And More...
- 37. How does Evolve Machine Learners fit in?