C3 Generative AI for Financial Services

Summary

The video introduces C3 Generative AI, a unified knowledge source for financial services professionals to accelerate insights. It shows a case study of an energy trader named Alex accessing critical information to accelerate trading decisions. By asking natural language questions, Alex receives direct answers drawing from dispersed Enterprise and external sources. The AI surfaces an oil refinery shutdown in Indonesia and planned OPEC production cuts, plus relevant context to determine price impact. Alex gets a 360 view of the energy markets by analyzing historical news and price data before he starts trading. The video concludes that C3 Generative AI saves hours of time through secure, traceable answers.

Takeaways

• 😀 Energy commodity traders buy, sell and trade commodities like oil and gas to profit from market changes
• 👩‍💻 Traders scan diverse information to understand evolving global markets, which is challenging
• 📊 C3's AI simplifies accessing accurate answers across information sources
• 👨‍💼 The AI helps traders like Alex by answering natural language questions
• 🔍 Alex used the AI to quickly learn about recent crude oil developments
• 🔎 The AI provided details on an unplanned Indonesia refinery shutdown and OPEC production cuts
• 📉 Alex analyzed the AI's crude oil price data after past refinery shutdowns and OPEC cuts
• 💡 The historical price impacts gave Alex insight before he started trading
• ⏱️ The AI saved Alex hours of research time
• 👍 Alex gave feedback to improve the AI's performance

Q & A

What is the primary goal of energy commodity traders?

The primary goal of energy commodity traders is to generate profits by capitalizing on price fluctuations, supply and demand imbalances, and market trends within the energy sector.

What are some of the challenges energy traders face in understanding evolving global market conditions?

Some challenges traders face include having to scan through diverse information sources, quickly understanding how global markets are evolving based on dispersed data, and gathering necessary information from multiple reports, commentary, prices, and emails.

How can C3 Generative AI for Financial Services help energy traders?

C3 Generative AI allows traders to perform natural language searches to ask questions and get direct answers while maintaining context. It surfaces relevant information across sources and provides accurate answers with full traceability.

What recent development did the system surface regarding crude oil?

The system surfaced information about an unplanned shutdown at Indonesia's Cilacap Refinery and an OPEC announcement regarding plans to cut production by 2 million barrels per day.

How much crude oil does Cilacap Refinery typically consume per day?

The Cilacap Refinery typically consumes 348,000 barrels of crude oil per day across both Minas and Duri grades.

What was the price impact of the last OPEC production cut announcement?

Following the last OPEC production cut on October 5th, 2022, crude oil prices gradually increased by over 20% in the 2 weeks after the announcement.

How can the system's answers be improved?

The system's answers can be continuously improved by users providing feedback to help enhance model performance.

What are some benefits of using C3 Generative AI for financial services?

Benefits include quick access to critical information and accelerated trading decisions, saving traders hours of time.

What types of tasks can the system help with?

The system can help with writing, analysis, question answering, math, coding, and various other tasks.

What was the relative price reaction of Minas crude versus Brent crude during past refinery shutdowns?

During past shutdowns, the price of Minas crude dropped by over 10% while the price of Brent crude held steady.