OpenAI
Waters Cooler: AI tells it like it is… or does it?
A weekly round-up of stories from us and beyond. Plus, fun Scottish facts.
Heavy lifting: Why using AI for data extraction is still no easy task
Using AI to extract data from documents and filings should be a no-brainer. But it takes a lot of brains and money to get those processes set up and running reliably and accurately.
Caveat creator: GenAI giants’ pledges won’t pre-empt copyright suits
Tech vendors offer indemnities on generative output, but end-users need to check the fine print, warn IP lawyers
Waters Wrap: GenAI and rising tides
As banks, asset managers, and vendors ratchet up generative AI experiments and rollouts, Anthony explains why collaboration between business and tech teams is crucial.
Waters Wrap: Open source and storm clouds on the horizon
Regulators and politicians in America and Europe are increasingly concerned about AI—and, by extension, open-source development. Anthony says there are real reasons for concern.
Broadridge CEO: ‘We intend to be a leader in AI’
In 2023, Broadridge became one of the first capital markets-focused companies to roll out a GPT-powered tool. Now it is looking across use cases and foundational models to determine where to plant its flag next.
Domain-specific AI: the hot topic of 2024?
Generative AI is increasingly being applied to specific domains within finance. But experts are divided on whether targeted models will take over from their general-purpose cousins.
Microsoft exec outlines ambitious capital markets strategy
As banks take a cautious approach to generative AI, Bill Borden believes Microsoft’s “copilots” will prove transformative in the capital markets.
Will generative AI crack the code for bank tech teams?
Banks could roll out tools to help translate old—or write new—code within months.
Generative AI is here to stay, even if the path forward is unclear
Chatbots and large language models dominated the AI conversation this year with the expectation that 2024 will bring more innovation and use cases to the forefront.
AllianceBernstein: fine-tuning shrinks gen AI ‘hallucinations’
Asset manager says its tweaks have improved accuracy of LLM models.
Waters Wrap: As quantum’s skeptics grow in number, believers need better messaging
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.
Broadridge’s LTX looks to GenAI as it competes for market share
LTX has pinned its hopes of breaking into the fixed-income market on innovative use of AI. But how successful has its approach been, and what is it up against?
Inside look: How Big Tech is using generative AI to win over finance
Execs from Amazon, Google and IBM explain their capital markets strategy when it comes to rolling out new AI tools.
AI in sheep’s clothing? Wolfe Research develops finance chatbot
The bot is trained using financial and ESG data, but won’t replace humans—yet—says the firm.
HSBC hikes tech spend, scales up AI projects
The bank is hoping to turn higher technology costs to its advantage, investing in its new digital trade platform and increasing its exploration of generative AI.
Waters Wrap: Big Tech’s subtle plans for capital markets domination
Amazon, Google, IBM and Microsoft aren't just cloud providers anymore—and their tentacles are going to spread deep into trading systems going forward.
Microsoft, Google highlight LLM capabilities for future growth
Satya Nadella and Sundar Pichai both touted the advancements their respective companies have made in the field of generative AI during their earnings calls.
State of the tech: A half-year check-in with large language models
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…
Banks’ internal watchdogs bark back at ChatGPT
Generative AI has plenty of uses in finance, but banks must first overcome compliance headaches
Waters Wrap: The path to generative AI is paved with solid data practices
While large language models are likely to proliferate, those that can develop a solid data infrastructure of taxonomies, ontologies, data sourcing, mapping and lineage will be the ultimate winners, Anthony says.