Data Management Insight Data Innovation (Machine Learning, AI & Blockchain) The latest content from across the platform

Upcoming Webinar: Evolution of data management for the buy-side 2021

Date: 27 May 2021 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The buy-side faced a barrage of regulation in 2020 and is now under pressure to make post-Brexit adjustments and complete LIBOR transition by the end of 2021. To ensure compliance and ease the burden of in-house data management, many…

Upcoming Webinar: Data management for ESG requirements

Date: 13 May 2021 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Environmental, Social and Governance (ESG) investing is moving into the mainstream, requiring asset managers to develop ESG strategies that deliver for both the firm and its investors. While these strategies can outperform those that do not include ESG factors,…

Recorded Webinar: How to establish data quality and data governance for analytics

Data quality has been a perennial problem for financial institutions for many years, but this needs to change as firms become increasingly reliant on accurate analytics to deliver business opportunity and competitive advantage. New approaches to data quality can help firms up their game and significantly improve their analytics capability. Adding the processes, controls and…

SmartStream Adds Microsoft Azure Cloud Hosting for Air Data Reconciliation Solution

SmartStream Technologies has extended the reach of its Air cloud and AI based data reconciliation solution with version 3, which is hosted on the Microsoft Azure cloud required by some global regions to support all their data requirements. SmartStream Air was originally hosted on the Amazon Web Services (AWS) cloud and is now available on…

S&P Global Market Intelligence Extends Marketplace with Focus on Collaborative Data Analytics, AI Solutions and ESG Data

S&P Global Market Intelligence has extended the marketplace it released in May 2020 with the addition of a workbench that supports collaborative data analytics, a Kensho machine learning solution for textual data, and 25 data sets and solutions. A new query library helps users search a catalogue of pre-built code queries to speed up data…

Recorded Webinar: A new way of collaborating with data

Digital transformation in the financial services sector has raised many questions around data, including the cost and volume of reference data required by each financial institution. Firms want to pick and choose the reference data they need to fulfil their requirements. Emerging solutions with the potential to decrease the cost of data and increase flexibility…

KX Takes kdb+ to the Next Level with KX Insights Cloud Native Streaming Analytics

KX has released KX Insights, a cloud native streaming analytics solution that provides fast, scalable real-time data insights without the capex and maintenance burden of on-premise infrastructure. KX Insights is built on the company’s cloud version of the kdb+ time series database and uses a microservices architecture that supports not only new KX users but…

Orenda Taps Twitter and AI to Provide Real-Time, High-Frequency ESG Scores

Orenda Software Solutions is taking an innovative approach to ESG by tapping Twitter content and using an AI powered platform to provide real-time, high-frequency ESG scores and insights into a company’s reputation that can help measure the sustainability and societal impact of an investment. The company was founded in 2015 by CEO Tanya Seajay, a…

SmartStream Adds AI to Reconciliation Platform

SmartStream Technologies has released TLM Aurora Universal Data Control, an AI-enabled platform for managing the complex data underpinning firms’ reconciliation activities. The solution builds on the technology used for SmartStream’s Air next-generation AI solution for reconciliation processing, version 2 of which was officially launched in October last year. Air introduces advanced AI concepts like observational…

How to Make the Most of Migrating Big Data and Analytics to Cloud

Migrating big data and analytics workflows to the cloud promises significant cost savings through efficient use of infrastructure resources and software that scales dynamically based on data volume, query load, or both. These are valuable gains for investment banks, but they can only be fully realised by taking a new approach to architecture and software…