Artificial Intelligence
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How is ChatGPT Making Inroads on Wall Street?
With the rapid growth of artificial intelligence, Wall Street is experimenting with ChatGPT from OpenAI and other generative AI-based tools to save time on tedious tasks and finding information in massive data sets.
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A Year in Review: Top Blogs in 2023
While the hottest topic in financial technology for 2023 was undoubtedly the rise of ChatGPT and large language models, other topics like consolidation of the buy-side trading desk, and the impact of T+1 on the sell-side remained in serious contention
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Key Trends in Fixed-Income Trading
In this Q&A, Matt Murphy, Fixed Income Electronic Trading and Market Structure Specialist at T. Rowe Price and Venky Vemparala, Global Product Manager – Fixed Income at FlexTrade Systems discuss the current trends in electronic trading, liquidity aggregation, and adoption of execution management systems, as well as the potential for artificial intelligence to make data-based recommendations.
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Financial Firms Explore ChatGPT and Generative AI
The release of ChatGPT by OpenAI last year, and its viral success in responding to human prompts in natural language, has ignited interest in generative AI technology, and has pushed asset managers and trading firms to grasp the technology rather than risk falling behind. Despite concerns about accuracy, financial firms and fintech providers are experimenting with specific use cases for generative AI using natural language processing trained on large language models (LLMs).
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Top Sell-Side Trends for 2023
What are the top market structure issues for sell-side firms in 2023? With the new year off to a fast start, brokerage firms are facing a variety of evolving issues that could impact their trading businesses. On the horizon are proposed regulations to reform U.S. equity trading, increased best execution obligations, innovations in ATSs, 24-hour trading, and shortening the settlement cycle to T+1.
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AI: Natural Language Processing and the Battle for Unstructured Data
Increasingly banks are turning to the field of natural language processing (NLP) and machine learning to extract valuable information from voice, documents, and audio to boost productivity on trading desks. It’s all part of a broader push to gain efficiencies by training machines and bots to analyze language, capture insights, and replace manual tasks and drive workflows further downstream.
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BIG Data: Getting Granular with ESG Factors
Despite some of the weaknesses in company-published ESG data, big data and artificial intelligence have enabled the construction of new data sets for analyzing investments.
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A.I. on the Fast Track
In the future, analysts will consult artificial intelligence software to crunch big data, find historical precedents, and run statistics to predict what lies ahead, all within a few minutes.
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Artificial Intelligence Gains Momentum: From Machine Learning to Deep Learning
Among the key benefits of artificial intelligence is that it can analyze large volumes of structured and unstructured data more quickly than humans do, which can boost productivity. FlexTrade’s Ivy Schmerken examines.