As ESG data becomes more of a commodity, firms are struggling with how best to incorporate carbon data.
The firm is developing machine learning models internally to optimize the reconciliation process and detect price anomalies.
Gonzalez has 20 years of experience in technology management and sales at financial firms and technology providers.
MIlner spent more than 20 years at Thomson Reuters, responsible for sales of products and services across its data business.
Cohee highlights cloud, big data and machine learning as disruptive changes forcing innovation at financial firms.
Alternative data holds great promise as a leading indicator of alpha. But in response to firms struggling with the data science aspects of integrating the data, various industry participants are pursuing new initiatives to make it more accessible,…
The insurer is partnering with AIM Software to move data operations to the cloud.
The bank plans to expand a program that uses machine learning to pull out key terms for contracts.
This year’s North American Financial Information Summit saw C-level execs from the buy and sell sides come together to talk about data needs.
While tech advancements are being made, buy-side firms still rely on humans to make sense of alt data.
The last decade has seen Euronext chewed up and spun out following a series of mergers & acquisitions. Once again independent, Courbebaisse is writing the exchange’s IT roadmap.
While the initial go-live date of SFTR is set for early 2020, data availability and legacy processes remain the leading roadblocks.
The vendor is revamping its user experience, which will allow for greater customization.
Bayesian analysis can replace random forest with a single, powerful tree, writes UBS’s Giuseppe Nuti.
The suite of data and tools will allow sales organizations and investors to forecast sales activity, and hence company income.
Its new CEO says there are 79 roles Itiviti is looking to fill to help fuel the company’s future growth.
Software and flesh-and-blood humans are both important when it comes to protecting an institution, panelists say.
The company is muscling into Bloomberg’s fixed income data territory with a new bond analytics service.
The Onboarding Accelerator offers a dashboard tool to automate manual client-addition processes.
It’s a heady time for those developing data standards, but Jamie Hyman says standards leaders need to agree about what “open” means, or they risk getting bogged down in semantics.
A failed ballot for a Bloomberg-backed identifier reveals the enormous consequences of industry tendencies toward complacency and cost-cutting.
Bond.One is aiming to introduce distributed-ledger tech to solve issues associated with fragmented fixed-income markets.
ORd brings more than 25 years in data management and technology engineering to the role overseeing the pension fund's enterprise data operations.
As more sanctions are issued, and become more complicated, firms find greater need for a monitoring service.