Data Management Insight Standards The latest content from across the platform
Recorded Webinar: In data we trust – How to ensure high quality data to power AI
Artificial intelligence is increasingly powering financial institutions’ processes and workflows, encompassing all parts of the enterprise from front-office to the back-office. As organisations seek to gain a competitive edge, they are trialling the technology in variety of ways to streamline and empower multiple use cases. Some are further than others along the path to achieving…
Data’s Role in AI Transition and Value Creation: Data Management Summit London Preview
The rapid adoption of artificial intelligence by financial institutions has required a heavy data management uplift as organisations have upgraded their systems to incorporate the new technology. It has also provided greater opportunity to squeeze even more value from data by enabling its efficient deployment across enterprises. Just how companies manage data for AI to…
Scalability the Keyword Behind S&P Global’s Enriched iLEVEL
S&P Global Market Intelligence’s update to its iLEVEL private markets data tool has been designed to enable firms to scale their engagements in private markets. The financial data company is betting that financial institutions’ growing engagement in these markets is such that they will need the sort of data provisions associated with public markets. S&P…
GLEIF Names Chinese Certification Authority as vLEI Issuer
The China Financial Certification Authority (CFCA) has been announced as the first Chinese overseer of virtual identifiers created by the Global Legal Entity Identifier Foundation (GLEIF). The CFCA has become a Qualified vLEI Issuer (QVI) in the Global LEI System. VLEIs are used to verify the digital identities of companies and assets in financial transactions….
Unleashing the Power of AI for Financial Institutions with Snowflake and Amazon Web Services
Financial institutions are among the largest users of AI, deploying it for a range of use cases that, while already wide, will broaden in the future. A report by the International Monetary Fund has forecast that institutional spending on AI will surge 29% to US$97 billion by 2027. The technology has become crucial to automation…
Businesses Struggling with ESG Data that will Aid SFDR Compliance
Most businesses are struggling to prepare their data to meet a new European regulation that is designed in part to deliver huge troves of corporate ESG information into financial institutions’ systems. More than four-fifths of companies questioned in a study by data mastering company Semarchy said they lack confidence in their data management capabilities to…
Zema Global Chief Girds for Soaring Demand for Energy Data
Since its acquisition of Morningstar’s commodity information business late last year, energy industry intelligence provider Zema Global has become an important data feed for financial institutions that invest in the net-zero transition and to those trading in renewables, biofuels and fossil fuels. The transaction was a prescient one. While the Colorado, US-headquartered company has been…
GLEIF Begins a New Decade in Growth Mode
The Global Legal Identifier Foundation (GLEIF) enters its second decade this month with its novel system of identifiers for everything from companies and their financial instruments to real assets fast becoming a global standard. While the next five years are expected to see yet more entities join the GLEIF’s open data project, the organisation’s immediate…
SmartStream Chief Jaffer Sees Rapid Change in Year at Helm
Just over a year into his tenure as chief executive of financial data automation provider SmartStream, Akber Jaffer finds himself surveying a data industry that’s changed enormously over his short time at the UK-based company. Chat GPT was a year old when he took on his new role and the artificial intelligence (AI) technology’s revolutionary…
How to Build an Open Data Ecosystem: A Scheme Owner’s Guide
By Brendan Jones, Chief Operating Officer at Konsentus. When taking a scheme-based approach to building an Open Data ecosystem, it is the job of the scheme owner to define the standards, rules and operating procedures that participants sign up to. This means creating the scheme rulebook, processes and infrastructure requirements that underpin the Open Data…