LLMs are making alternative datasets ‘fuzzy’
Waters Wrap: While large language models and generative/agentic AI offer an endless amount of opportunity, they are also exposing unforeseen risks and challenges.
Seven years ago, I wrote an article titled, “The New Oil Rush: An Examination of the Alternative Data Market.”
The gist was that the explosion of available data, the ability to store that data cheaply in the cloud, and the growing sophistication of analytics tools—increasingly cloud-based and SaaS-delivered—could offer insights faster than human cognition had ever hoped to achieve. The underlying point: technological evolution offers new opportunities (in this case, cloud and the Big Data
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Data Management
Digital employees have BNY talking a new language
Julie Gerdeman, head of BNY’s data and analytics team, explains how the bank’s new operating model allows for quicker AI experimentation and development.
Can mastering data solve AI’s cognitive dissonance?
The IMD Wrap: Bank execs are still bullish on AI, but recent studies suggest it’s not the panacea they’re making it out to be. Can the two views be rectified?
Everything you need to know about market data in overnight equities trading
As overnight trading continues to capture attention, a growing number of data providers are taking in market data from alternative trading systems.
AI strategies could be pulling money into the data office
Benchmarking: As firms formalize AI strategies, some data offices are gaining attention and budget.
Identity resolution is key to future of tokenization
Firms should think not only about tokenization’s potential but also the underlying infrastructure and identity resolution, writes Cusip Global Services’ Matthew Bastian in this guest column.
Vendors are winning the AI buy-vs-build debate
Benchmarking: Most firms say proprietary LLM tools make up less than half of their AI capabilities as they revaluate earlier bets on building in-house.
Private markets boom exposes data weak points
As allocations to private market assets grow and are increasingly managed together with public market assets, firms need systems that enable different data types to coexist, says GoldenSource’s James Corrigan.
Banks hate data lineage, but regulators keep demanding it
Benchmarking: As firms automate regulatory reporting, a key BCBS 239 requirement is falling behind, raising questions about how much lineage banks really need.
