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Strong Governance, Privacy Policies Can Negate AI Risks, Informatica Says
Debate about the limitations of artificial intelligence (AI) in data management was stoked further this week when a leading vendor warned that applications built on nascent large language model (LLM) technology could pose an “existential threat” to companies if not deployed thoughtfully. Jason du Preez, vice president of privacy and security at cloud data management…
FinScan Data Quality Chief Seeks to End Compliance Failure Excuses
The dog ate my homework. The train was delayed. The postman mislaid your birthday card. At one time or another, we’ve all used a weak excuse to forestall censure for an error of behaviour or judgement. And mostly, we’ve got away with it. In financial regulatory compliance, however, excuses won’t wash. Especially when it comes…
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…
Snowflake Bets it can Bring the Promise of AI to Wary Organisations
Snowflake has rooted its offerings more deeply in artificial intelligence, betting that its data cloud platform can deliver the promise of the technology at a time when many organisations are reappraising their approach to AI implementation. Among a flurry of new service announcements made at the end of last year, Snowflake unveiled plans to launch…
The Data Year Ahead: More Data Formats and Use Cases
In the second part of our preview of the next 12 months in data management, we take in the views of experts who offered Data Management Insight their thoughts on a range of developments, including the increased use of unstructured data, the wider application of data sets and distribution challenges. 1 Data Governance, Quality and Technologies Ian…
The Data Year Ahead: AI Reality Check and New Skills Needed
If 2024 was the year when artificial intelligence (AI) came to the fore in data management, the next 12 months could see its spread ebb as financial institutions take a reality check and slow the frenetic pace of adoption. That, at least, is one of the many predictions for the new year from of a…
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…
Broadridge Tradeverse – When a Data Lake is Not a Data Lake
Hugh Daly, Broadridge Financial Solutions’ head of capital markets data and artificial intelligence, is being mischievous when he describes the company’s latest innovation, its Tradeverse data platform. “It must sound very much like Tradeverse is a data lake – if it quacks like a data lake and walks like a data lake, fundamentally it must…
UK Budget Puts Corporate Actions Automation Back on the Agenda
By Yogita Mehta, Commercial Product Director – Corporate Actions, Financial Information, SIX. Expectations around the UK budget in October last month have been consistently making headlines since even before its was announced. One area that is expected to be impacted because of the changes announced by Rachel Reeves is market appetite for M&A activity, with…
Buy-Side Faces Structured, Unstructured Data Challenge: A-Team Group Webinar
Buy-side firms are far from satisfied with their present data management strategies and are still struggling to deal with hoary old challenges such as data silos and legacy tech stacks that are inadequate for their modern needs, according to the latest polling from A-Team Group. Only a fifth of respondents feel positively about how they…