Artificial intelligence models stumble on noisy data and lack of interpretability
As you explore ways to use genAI, do you benefit from having ML and NLP experts on staff who have followed AI evolution for years? Anthony thinks that’s an important question when talking about quantum exploration.
The offering allows users to surface data and notifications from internal systems without ever having to leave Instant Bloomberg chatrooms.
As a Gen-Xer, Max tells GenAI to get off his lawn—after it's mowed it, watered it and trimmed the shrubs so he can sit back and enjoy it.
As LLMs and generative AI grab headlines, another AI subset is gaining ground—and it might solve what generative AI can’t.
The new tool is the culmination of integrating recent acquisitions, including IHS Markit, ChartIQ and Kensho.
Execs from Amazon, Google and IBM explain their capital markets strategy when it comes to rolling out new AI tools.
The bot is trained using financial and ESG data, but won’t replace humans—yet—says the firm.
Amazon, Google, IBM and Microsoft aren't just cloud providers anymore—and their tentacles are going to spread deep into trading systems going forward.
AI is having a moment, and data vendors and software providers are seizing on it. Some are building models in-house, while others are looking to third parties to power their strategies—but the focus is largely on productivity and faster data access…
Generative AI has plenty of uses in finance, but banks must first overcome compliance headaches
Automation is gaining traction in fixed-income markets, but use cases are limited and progress is slow. Market participants must overcome some uniquely human problems before they fully embrace the machine.
With electronification and tech development increasing in fixed income, participants are looking for better data access in the primary market for corporate bonds.
Capital markets are no strangers to hype machines. Among the buzz around generative AI, Nyela wonders who will be best suited to take advantage of the technology and deliver the right use cases to Wall Street.
With the ASX Chess DLT failure and users ignoring DTCC’s DLT option for its Trade Information Warehouse, Anthony wonders what it will take for the industry to stop touting this buzzword for non-specialized needs.
Bloomberg has developed a large language model with the aim of improving its Terminal’s ability to provide sentiment, charting and search.
Dutch court case pressures supervisors to accept new tech; explainability the key challenge
Quants at Acadian, Man Group, Northern Trust and PGIM are investigating the use of machine learning and natural language processing to improve volatility forecasts.
As banks clamp down on large language models like ChatGPT, Anthony says that CDOs can help firms experiment with these chatbots while developing the proper governance structures.
The MSCI One platform already runs on Microsoft Azure, and MSCI is building a new investment data platform on Google Cloud to utilize the search giant's AI and NLP capabilities.
Since the release of ChatGPT, excitement and hype have been abundant across industries for this form of generative AI. For capital markets, the wave of innovation that could result may be a few years away but it’s worth paying attention to—and being…
While much attention has been given to cloud, AI, blockchain and other buzzwords, without a proper data foundation, those tools will not deliver the results that have been promised.
As the December holiday break loomed, a new tool released by OpenAI had engineers, analysts, programmers and even writers like Anthony wondering what the future of their professions might hold.
As machine learning and natural language processing continue to spread across the industry, WatersTechnology highlights stories from 2022 that feature new use cases.