Data Management Insight Data The latest content from across the platform
Bloomberg’s VDR Offers Data Fitting Room to Tackle Information Overload
Data overload is a phrase that’s being more commonly heard as the volume of digital information available to financial institutions swells. More than that, finding the data that best suits their specific needs has become an arduous task, especially given that it can take the best part of a financial quarter to onboard new data…
Canoe Provides Data Services to Alt Funds Processing Firm Fundcraft
Fund-of-fund management clients of Fundcraft now have access to Canoe Intelligence’s data management capabilities, enabling them to streamline their data and document processes. The deal will see the alternative investments operations services provider utilise New York-based Canoe’s artificial intelligence (AI)-enhanced technology to collect, clean, validate, order and distribute their data. Luxembourg-headquartered Fundcraft said also that…
Informatica to Manage Data, Governance for Lenders Mortgage Insurer Helia
Helia, an Australian lenders mortgage insurer, has selected Informatica to improve data management and governance around its claims processing capabilities as the home loans sector sees a surge in digitalisation. Sydney-headquartered Helia said the artificial intelligence (AI)-powered data services company would help it accelerate claims and streamline its data pipeline. It hopes that the using…
Rising Volumes of Unstructured Data Pose Utility Challenge: Webinar Review
The staggering growth in the volume of unstructured data being generated around the world is posing a challenge to financial institutions use of the information. In a recent A-Team Group webinar poll, most respondents said that the huge amounts of data contained on social media, in reports, videos, contracts and corporate memos and meeting minutes…
Recorded Webinar: Augmented data quality: Leveraging AI, machine learning and automation to build trust in your data
Artificial intelligence and machine learning are empowering financial institutions to get more from their data. By augmenting traditional data processes with these new technologies, organisations can automate the detection and mitigation of data issues and errors before they become entrenched in workflows. In this webinar, leading proponents of augmented data quality (ADQ) will examine how…
Bloomberg Lets Customers Test Drive its Datasets
Bloomberg is throwing open its data trove to prospective users, enabling them to interact with the information before deciding on whether to buy into new datasets. The Virtual Data Room will give customers the chance to explore the coverage, quality and usability of Bloomberg’s Bulk Data License datasets. The service is designed to accelerate the…
NeoXam’s Impress Deployed to Manage Ecofi Reporting Process
NeoXam has been selected to handle the entire reporting process for Ecofi, Groupe Credit Cooperatif’s asset manager. The France-based financial software and technology provider has signed a deal to deploy its SaaS-based Impress platform to manage the French banking group’s data collection, quality checks, performance analytics computation as well as reporting templating and generation for…
Handle With Care: BNY Takes Disciplined Approach to AI Implementation
The huge opportunities offered by artificial intelligence (AI) can appear overwhelming and it’s important that financial institutions carefully manage the risks they pose to get the most out of this new generation of solutions. That’s among the key messages that Eric Hirschhorn, chief data officer at banking giant BNY, will convey when he takes the…
New York City to Welcome 14th Data Management Summit with Focus on AI
The annual A-Team Group Data Management Summit New York City (DMS NYC) is almost upon us, with a roster of leading companies and executives lined up to cast an expert eye over an industry at yet another pivotal point in its evolution. Artificial intelligence (AI) is up-ending the way financial institutions use the data that…
Recorded Webinar: Strategies, tools and techniques to extract value from unstructured data
Unstructured data is voluminous, unwieldy and difficult to store and manage. For capital markets participants, it is also key to generating business insight, making better-informed decisions and delivering both internal and external value. Solving this dichotomy can be a challenge, but there are solutions designed to help financial institutions digest, manage and make best use…