Data quality
AI for data quality control catches on at institutions
Data execs at banks and asset managers say they are working on projects using AI to improve data-quality workflows.
GPU compute derivatives are put to the test
Interest rates and onions of the past haunt what could be a booming new index market.
Managing regulatory transformation through a Dual-Flow Operating Model
Darshan Shah presents an operating model that enables project teams to implement complex regulatory programs, preserve business continuity, reduce risk, and prepare enterprise platforms for regulatory change.
A tidal wave of token costs threatens landfall
Budgeting for AI was never “easy,” but as financial firms rely more heavily on agents, soaring token usage is forcing them to rethink the economics of modern enterprise AI.
BlackRock aims to transform data quality checks with AI
Engineers at the firm are experimenting with harnessing the power of AI to improve data quality, and early results are promising.
‘Vibe coding is burning us out’
Vibe coding is rapidly spreading throughout the capital markets, and some are unhappy about it, while others believe the genie is out of the bottle. Engineers spoken to for this story share some choice words—and several expletives—about this new form of…
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.
The public market data formula is coming to private markets
As interest in private markets grows, S&P Global, Bloomberg, and ICE are including increasingly valuable data in their offerings.
Broadridge’s agentic strategy takes its lessons from past AI winters
The Waters Wrap: Anthony looks at a real-world agentic project underway at the post-trade giant to see what others can learn.
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.
Data heads scratch heads over data quality headwinds
Bank and asset manager execs say the pressure is on to build AI tools. They also say getting the data right is crucial, but not everyone appreciates that.
Data standardization key to unlocking AI’s full potential in private markets
As private markets continue to grow, fund managers are increasingly turning to AI to improve efficiency and free up time for higher-value work. Yet fragmented data remains a major obstacle.
AI strategies could be pulling money into the data office
Benchmarking: As firms formalize AI strategies, some data offices are gaining attention and budget.
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.
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.
Data managers worry lack of funding, staffing will hinder AI ambitions
Nearly two-thirds of respondents to WatersTechnology’s data benchmark survey rated the pressure they’re receiving from senior executives and the board as very high. But is the money flowing for talent and data management?
AI enthusiasts are running before they can walk
The IMD Wrap: As firms race to implement generative and agentic AI, having solid data foundations is crucial, but Wei-Shen wonders how many have put those foundations in.
50% of firms are using AI or ML to spot data quality issues
How does your firm stack up?
Examining how adaptive intelligence can create resilient trading ecosystems
Researchers from IBM and Wipro explore how multi-agent LLMs and multi-modal trading agents can be used to build trading ecosystems that perform better under stress.
Fixed income data continues to challenge capital markets firms
A range of challenges facing fixed income market participants