Data Management Insight Data Science & Analytics The latest content from across the platform
Adopting AI for Superior Reconciliations
Firms’ reconciliation and exceptions management processes are manually intensive, expensive and prone to error. With rising compliance costs and greater competition narrowing margins in financial services, firms are looking to streamline their reconciliations processes through automation, giving them the opportunity to reduce the number of exceptions they manage and the time it takes to deal…
Knowledge Graph Technology – The Holy Grail of Data Management?
Data siloes are proliferating, data lakes are overflowing, regulators are asking for access to more granular data, and data management teams are looking at how to deal with enormous data volumes in capital markets, understand both structured and unstructured data, make data accessible and contextual for business users, and turn it into a strategic asset….
20/20 in 2020 – How to Gain Value from your Unstructured Data
Is your organisation looking to get better visibility of its unstructured data and gain value from the data? If the answer is yes, look no further and find out how to do this by joining a keynote that will be presented by Tony Brownlee, president of Kingland, at A-Team Group’s Data Management Summit in New…
ASG Develops Mobius Content Services to Meet Regulatory and Business Needs
ASG Technologies is developing its Mobius content services to help market participants comply with increasing regulation around personal data, and gain a clear overview of all their customer information and how it flows across the organisation. Mobius captures and manages content throughout its lifecycle, executes workflows, and governs information across federated repositories for a single…
Kingland Increases Accuracy of Text Analytics for Unstructured Data
Kingland continues to push the technology envelope with enhancements to its Text Analytics Platform Suite, which we touched on in last week’s catch up on the company with president Tony Brownlee. The enhanced solution includes new administration menu options with deeper analysis and metrics for unstructured data sources and events, and improvements to Named Entity…
Kingland Innovates to Meet Market Need for More Effective and Efficient Data Usage
Kingland is responding to financial institutions’ growing desire to use and manage their data to better effect and greater efficiency with the provision of solutions including artificial intelligence (AI) and text analytics. It is also focusing on firms’ ongoing challenges around core functionality such as entity data management for Know Your Customer (KYC), enterprise risk…
DataRobot on FactSet Adds Machine Learning into Investment Workflow
In early August, FactSet and DataRobot introduced an artificial intelligence (AI) investment workflow, DataRobot on FactSet, an automated machine learning (ML) tool that helps financial services firms – particularly those lacking significant data science teams – incorporate AI into their investment workflows. At the moment there is a shortage of data scientists within the investment…
Collibra Looks to the Future with New Privacy & Risk Product
US-based data intelligence specialist Collibra in July built out its data platform with the launch of Collibra Privacy & Risk, a new enterprise-grade product designed to help organizations manage personal data assets and future-proof against further regulatory developments in today’s changing climate. The new product expands the firm’s regulatory coverage, with modules covering the California…
Moody’s Acquires RiskFirst
Moody’s Corporation has acquired RiskFirst, a provider of risk analytic solutions for the assetmanagement and pension fund communities. The acquisition positions Moody’s Analytics to extend its range of risk solutions to the institutional buy-side. RiskFirst’s PFaroe platform provides a risk solution for US and UK defined benefit pension markets, covering over 3,000 plans and more…
Synechron Data Science Launches New LIBOR Solution
London-based Synechron has launched a LIBOR accelerator using data science to address thechallenges of financial sector benchmarking. The accelerator for LIBOR Impact Analysis enables financial institutions to identify and quantify their LIBOR exposure at either a contract level or across all contracts within an institution. Thesolution leverages Optical Character Recognition (OCR) and three levels of…