Powered by artificial intelligence (AI), machine learning, speech recognition, and natural language technologies, StockBot understands the human voice. The investor can trade stocks via the smartphone by simply speaking his or her instruction. StockBot interprets the investor’s free and natural voice that may be spoken in a wide variety of accents and speaking styles. StockBot also understands the investor’s trading instructions that may be spoken in many different ways, and yet have the same meaning, such as: “stock code 0005 buy price seventy six dollars and fifty cents quantity thirteen thousand shares,” or “buy price seventy six and a half dollars stock code 0005 quantity thirteen thousand shares,” or “quantity thirteen thousand shares buy price seventy six point five dollars stock number 5.”
StockBot makes stock trading on the smartphone much faster and more efficient. By using StockBot, the investor would not need to use the keypad to construct a trading order. There is no need to type one at a time the stock name, quantity, and price. The investor can simply speak and confirm the order within seconds. It gives the investor the feeling of talking to a live agent, yet no privacy is compromised.
“Thanks for the convergence of major technology advances from multiple frontiers, StockBot is the latest paradigm-shifting innovation that changes the way we do business in the finance industry,” said Dr. Zachary Leung, Founder of InfoTalk Corporation. Dr. Leung is a machine-learning scientist-entrepreneur. He received his PhD from MIT, which is believed by many as the birthplace of AI.
“StockBot is an exemplary innovation about what AI can practically do in the marketplace today.” InfoTalk has provided award-winning solutions across many industries, ranging from finance and telecommunications to transportation and government. To date, millions of people have used multi-lingual solutions powered by InfoTalk technologies, including automatic speech recognition (ASR), text-to-speech (TTS), and natural language understanding (NLU).
