Data Management Insight Blogs The latest content from across the platform
Getting Data Right is Crucial to Deriving Value From AI: DMI Webinar Review
Capital markets participants are struggling with data sourcing and cleansing as they deploy artificial intelligence to streamline operations, improve customer relations and add value to their services, according to the latest A-Team Group poll. In a survey survey of attendees at last week’s Data Management Insight webinar on data quality for AI it also emerged…
Reporting Seen Among Use Cases Benefiting from Cloud-based Data Management for AI
Artificial intelligence is being adopted by financial regulators at pace, putting pressure on the financial institutions that the overseers serve to double down on their reporting capabilities. It’s no surprise to find that the same AI that’s helping regulators can aid organisations in getting those reporting procedures in place. To do so, however, they need…
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…
Challenges of the New Regulatory Landscape: Data Management Summit London Preview
The regulatory landscape for financial institutions has rarely been in greater flux than now, placing new challenges on the technology and data that will be critical to satisfying the requirements of overseers. While digital innovations are offering organisations the opportunity to meet their compliance obligations with greater accuracy and efficiency, they are also encouraging regulators…
SimCorp Urges a Holistic View of Buy-Side Retooling to Enable AI
You don’t have to scratch far below the surface of the artificial intelligence hype machine to see that many financial institutions are experiencing challenges in implementing the technology. Our own Data Management Insight annual preview in January of predictions for the coming year found that vendors and users alike reported the dawning of a realisation that, for…
Ensuring AI-Focussed Institutions Take out the Garbage: A-Team Group Webinar Preview
As data quality rises up institutions’ AI-implementation agendas, the next A-Team Group Data Management Insight webinar will take a deep-dive look into how they can ensure the information they feed into their models will give them accurate and valuable outputs. Avoiding Chaos The data management maxim of “garbage in, garbage out” can’t be more appropriate for artificial…
EU’s AI Act Seen Strengthening Data Foundations but not Without Challenges
The European Union’s Artificial Intelligence Act, which went into force this month, has presented financial institutions with huge opportunities but also some grave challenges, each of which can only be managed with a strong data foundation. Industry professionals have said that the Act’s provisions, though extensive, can bring clarity to a muddled regulatory view of…
Generali-Natixis Tie-up Highlights Data and Operational Complexities of Asset Management M&A
By Jeremy Katzeff, head of buy-side solutions at GoldenSource. After much speculation, it’s now confirmed. The asset management industry welcomes another mega fund to its ranks after the tie-up between the asset management businesses of Natixis and Generali Group. The reasons behind the merger are the same as they have been for the last few…
Building an AI Data Strategy: Licensing, Governance, and Usage
AI is often seen as a disruptive force, but it is just as much an evolution as a revolution. Machine learning and automation have long been embedded in financial workflows—the key difference today is the scale and power of AI-driven technologies. As these capabilities expand, how should firms navigate data governance, intellectual property protection, and…