Data quality
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.
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
AI fails for many reasons but succeeds for few
Firms hoping to achieve ROI on their AI efforts must focus on data, partnerships, and scale—but a fundamental roadblock remains.
Buy-side transformation requires data stabilization
The IMD Wrap: Insightful and actionable data tools require reliable and accurate underlying data. Max looks at some startling findings from recent reports that highlight the key data challenges that lie ahead.
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.
CDOs must deliver short-term wins ‘that people give a crap about’
The IMD Wrap: Why bother having a CDO when so many firms replace them so often? Some say CDOs should stop focusing on perfection, and focus instead on immediate deliverables that demonstrate value to the broader business.
Bank of America reduces, reuses, and recycles tech for markets division
Voice of the CTO: When it comes to the old build, buy, or borrow debate, Ashok Krishnan and his team are increasingly leaning into repurposing tech that is tried and true.
In data expansion plans, TMX Datalinx eyes AI for private data
After buying Wall Street Horizon in 2022, the Canadian exchange group’s data arm is looking to apply a similar playbook to other niche data areas, starting with private assets.