M&G Investments replaces research platform with Bloomberg’s RMS
The chief investment officer of the London-based asset manager explains why the firm opted to use Bloomberg’s RMS platform for its research capabilities.
London-based M&G Investments, which manages more than £350 billion ($472 billion) in assets, has inked a deal with Bloomberg to improve its internal research processes. The investment manager will be using Bloomberg’s Research Management Solutions (RMS), which allows M&G to use Bloomberg’s Terminal to access advanced data analytics and Document Search, Bloomberg’s AI-powered research engine containing more than 400 million company documents.
Fabiana Fedeli, chief investment officer for equities
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Data Management
Semantic density: old wine, or a new vintage?
Giving AI agents enough context to carry out enterprise tasks has become a priority for firms building them, but it’s expensive. It might not have to be.
Firms get AI access to LSEG data via DataBP admin layer
LSEG has expanded its agreement with DataBP to enable customers’ AI-based tools to request and evaluate data from the exchange and maintain more comprehensive usage records.
Rimes builds agents for exception management
The vendor aims to improve its data foundations to allow for greater agent autonomy.
The great migration: Firms work to integrate ISO 20022
Banks and asset managers are working to adopt the new messaging standard, but it’s easier said than done.
PostSig, CJC team up to run data management for London broker
In the first such deployment between the vendors, CJC will act as an outsourced data administrator using PostSig’s technology to manage the firm’s data.
Buy-side firms warn semantic layers not a quick fix for AI integration
Semantic layers promise to teach AI what a firm’s data means. Keeping that meaning current is the part that may get overlooked, tech heads warn.
Mind the stack: the foundation markets run on
Exchange data is an underappreciated component of the AI era, writes Jeff Kimsey.
BlackRock Aladdin prioritizing semantic layer for agentic AI
The asset manager’s tech platform is spending “a lot of time thinking about” semantics before it rolls out AI for a variety of tasks, says Aladdin exec.