Metadata
Semantic density: old wine, or a new vintage?
Giving AI agents enough context to carry out enterprise tasks has become a priority for firms building them, but it’s expensive. It might not have to be.
How governance-first architecture stabilizes complex systems
Chetan Patil argues that many transformation projects fail not because of the technology but because of weak data governance. Adopting a governance-first discipline early (and building speed, resiliency, and credibility over time) is best.
Old data practices key to navigating new agentic ambitions
Metadata and data quality are not as sexy as autonomous agents, but data executives across the capital markets warn that they are integral to successful agents.
FactSet’s vectorization service aims to improve agent accuracy
FactSet chief AI officer Kate Stepp discusses the importance of having AI-ready data in the agentic era.
GenAI and data quality converge at T. Rowe Price’s (Data) Lake Como
Jay Como was hired by T. Rowe Price in 2023, just as generative AI was rippling across the capital markets. Rather than accepting data quality as a hindrance to AI development, his team wants to use AI and agents to help solve this long-standing issue.
‘The end of the beginning’: Brown Brothers Harriman re-invents itself
Voice of the CDO: Firms who want to use AI successfully better start with their metadata, says BBH’s Mike McGovern and Kevin Welch.
AI & data enablement: A looming reality or pipe dream?
Waters Wrap: The promise of AI and agents is massive, and real-world success stories are trickling out. But Anthony notes that firms still need to be hyper-focused on getting the data foundation correct before adding layers.
Everyone wants to tokenize the assets. What about the data?
The IMD Wrap: With exchanges moving market data on-chain, Wei-Shen believes there’s a need to standardize licensing agreements.
Saugata Saha pilots S&P’s way through data interoperability, AI
Saha, who was named president of S&P Global Market Intelligence last year, details how the company is looking at enterprise data and the success of its early investments in AI.
It’s just semantics: The web standard that could replace the identifiers you love to hate
Data ontologists say that the IRI, a cousin of the humble URL, could put the various wars over identity resolution to bed—for good.
The IMD Wrap: Talkin’ ’bout my generation
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.
Beyond the 'big red blob': UBS sees future in data mesh for analytics
The Swiss bank has started a journey to implementing mesh data architecture, a new concept for federated data availability in enterprises aimed at getting value out of analytical data.
In the world of financial data, context—not content—is the new king
For years, the mantra of the market data world has been ‘content is king.’ But with trading strategies now more dependent on being able to see the big picture, the value of context could quickly overtake the data itself.
Waters Wrap: The expanding battle over reference data identifiers
Bloomberg, Broadridge, and Finra have all recently made news in the world of standards and identifiers. Anthony looks at some of the questions the reporters at WatersTechnology will be asking going forward.
JP Morgan fast-tracks market data licensing tools
The bank is developing solutions to help internal teams understand compliant usage and entitlements.
Bloomberg’s new data retention policy vexes buy-side firms
Impacted users will have to pay extra costs to retain communications data for longer than two years.
Solidatus Builds New ESG Model
The software company aims to help banks' and financial institutions achieve higher ESG ratings.
MackeyRMS Launches ESG Scorecard
Ratings toolkit includes features to help investment teams grade securities and funds to meet sustainability mandates.
Asset Manager Nuveen Builds New Data Platform to Integrate ESG Information
The TIAA company has developed its own metrics and partnered with provider Zaloni for a comprehensive approach to sustainable investing.
Waters Wrap: Causal Machine Learning Represents Next Evolution of AI (Plus ESG & Innovation Issues)
Anthony looks at an interesting project using causal inference by IBM and Refinitiv, and what this latest evolution of machine learning could mean for innovation in the capital markets in the future.
Digital Rights Project for Data Usage Faces Legal, Operational Hurdles
Keen to trim the resources they expend on interpreting licenses, investment firms are exploring how they can turn data agreements into machine-readable code. Doing so is fraught with challenges.