Golden Copy: Learning to Master the Machines
More machine learning efforts are arriving for financial data management, but are they well guided?

This past week saw two new machine learning efforts for financial data management – Bloomberg's Liquidity Assessment Tool, just launched, and StockViews, a crowdsourcing investment platform that reaped new funding for applying machine learning and artificial intelligence to enhance its crowdsourced research on companies.
We have also seen other machine learning initiatives for financial data in recent weeks and months. In late February, Velocimetrics, a performance measurement and analytics provider, announced that it had added machine learning techniques to its market data quality solution.
Last year, WorkFusion executive Adam Devine shared how the company was applying artificial intelligence to the automation of repetitive data processing tasks. And IIROC, Canada's major self-regulatory organization, has completed a machine learning project to segment market participants.
Also last year, in this column, I identified AltX, Dataminr and Verafin as companies that are making use of machine learning in different ways to yield greater insights from data, whether for portfolio managers or for compliance purposes.
These add up to quite a few machine learning ventures, and could be just the tip of the iceberg within the financial industry. The question that must be asked is whether the hands guiding any or all of these efforts are using machine learning processes effectively to gain more useful insights from data in order to produce intelligence that is indeed actionable.
Often, the rationale for using machine learning is indeed automation of data processing, as WorkFusion does. Automating data processing produces efficiency, but doing so with artificial intelligence or machine learning is the key factor in raising data quality, or at least avoiding the decline in data quality that would inevitably occur in automation without an intelligence factor to reduce errors.
Since last year, judging by the emergence of these recent new ventures, confidence in machine learning and artificial intelligence seems to be continuing its rise. Yet even the efforts begun less recently must still build a track record of effectiveness and value for their users.
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: http://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
‘The opaque juggernaut’: Private credit’s data deficiencies become clear
Investor demand to take advantage of the growing private credit markets is rising, despite limited data, trading mechanisms, and a lack of liquidity.
Fitch claims 20% developer productivity boost using AWS GenAI tools
The vendors have expanded an existing deal to include new Amazon tools that have helped Fitch modernize its infrastructure and applications.
US sovereign wealth fund project highlights the private assets problem
Firms have a growing appetite for private markets, as shown by President Trump’s proposed creation of a US SWF. GoldenSource’s James Corrigan writes that to ensure success, core technology must be built on strong data foundations.
DLT and digital contracts for market data: Has the hammer found the nail?
Waters Wrap: A new platform that a custom-made DLT underpins is coming to market. Anthony examines its merits and, surprisingly, finds a lot.
Bond CT hopeful Etrading unveils free tape prototype ahead of tenders
The vendor hopes to provide the long-awaited consolidated tape for bonds in the EU and the UK, demonstrating its ability to do so through ETS Connect.
Big xyt exploring bid to provide EU equities CT
So far, only one group, a consortium of the major European exchanges, has formally kept its hat in the ring to provide Europe’s consolidated tape for equities.
Orchestrade resists SaaS model in favor of customer flexibility
Firms like Orchestrade are minimizing funds and banks’ risks with different approaches to risk management.
Hyperscalers to take hits as AI demand overpowers datacenter capacity
The IMD Wrap: Max asks, who’s really raising your datacenter costs? And how can you reduce them?