Data quality
Back to basics: Data management woes continue for the buy side
Data management platform Fencore helps investment managers resolve symptoms of not having a central data layer.
FRTB data quality issues persist amid shifting implementation dates
Banks are finding market and reference data challenges posed by the FRTB’s standardized model tricky, compounded by uncertainty over when the regulation will take effect.
The IMD Wrap: The risks of becoming AI-rich and memory-poor
Like Alice in Wonderland, Max disappears down the rabbit hole of AI to discover a world that is sometimes fantasy—and sometimes a nightmare.
Firms worry that lack of ‘explainability’ will be regulatory roadblock for AI
Industry experts share their concerns about advanced AI’s ‘black-box’ nature and how that may attract fragmented regulatory scrutiny.
Waters Wavelength Podcast: Bloomberg’s Tony McManus
Tony McManus, global head of enterprise data division at Bloomberg, joins the podcast to talk about the importance of data in the context of AI and GenAI.
BMLL to expand coverage to Level 1 and Level 2 historical data
The London-based market data provider is aiming to provide higher quality data than its new competitors, but it faces an uphill battle.
‘Founder’ banks join EDM Council program to benchmark data management
The Data Excellence Program—the first to recognize data management at an enterprise level, rather than being an accreditation program for individuals—will help firms solidify data management as a program rather than a series of projects.
Trade reporting challenges require data re-think
Data accuracy issues are hampering some firms’ regulatory reporting abilities. So why aren’t data professionals more involved? And how can compliance costs be turned into revenue drivers?
GenAI or replatforming? Bank CTOs disagree on budgetary spend
Voice of the CTO: In part one of a five-part series, several bank technologists discuss where they are looking to spend their budgets this year, and what hurdles stand in the way of experimenting with generative AI.
The IMD Wrap: Exchange, data vendor audits continue to rankle end-users—what will change in 2024?
While the data auditing process has been contentious for a long time, Max looks at some of the positive improvements made in 2023 and explains why more improvements need to be made in the New Year.
ECB’s Lagarde sets out vision for integrated European capital market
The president of the European Central Bank argues for a more ambitious, top-down approach to the capital markets union.
Waters Wavelength Podcast: Bill Murphy on getting the foundations right
Bill Murphy, managing partner at Cresting Wave, is back to discuss the foundations necessary to leverage emerging technologies in the long run.
Waters Wavelength Podcast: The issue with corporate actions
Yogita Mehta from SIX joins to discuss the biggest challenges firms face when dealing with corporate actions.
Waters Wrap: Market data spend and nice-to-have vs. need-to-have decisions
Cost is not the top factor driving the decision to switch data providers. Anthony looks at what’s behind the evolution of spending priorities.
The consolidated tapes are taking shape—but what shape exactly?
With political appetite established on both sides of the Channel, attention is turning to the technical details.
Waters Wavelength Podcast: How do firms create data products?
Standard Chartered’s David Sharratt joins the podcast to discuss creating data products.
Waters Wavelength Podcast: David Hardoon dissects language models
David Hardoon returns to talk about the field of language and how it’s the ‘heart and soul’ of artificial intelligence.
Snowflake: Data strategy essential for AI
The cloud data platform provider continues to make investments in data quality and cleansing.
Waters Wavelength Podcast: IBM on generative AI
This week, John Duigenan from IBM joins the podcast to discuss generative AI.
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.
Waters Wrap: Goldman Sachs and the facts and fiction of being data driven
Neema Raphael, CDO and head of data engineering for Goldman Sachs, explains what he believes it means for a firm to be data driven.