Data Management Insight Data The latest content from across the platform
Generative AI Will Play Role in Data Management says JP Morgan Chase Executive
Financial institutions are missing a valuable opportunity if they don’t harness the benefits that artificial intelligence (AI) can bring to data management. From accelerating and automating routine processes to mining value from huge data sets, established and generative AI have the potential to transform the way financial institutions use and organise their data, says JP…
Recorded Webinar: How to gain operational efficiency in corporate actions processing
While the risk associated with corporate actions is well established, many financial institutions continue with manual processing in the back office. More often than not, corporate actions information is manually keyed in and event processing lacks automation. This results in operational inefficiency, and financial risk due to missed events or simply getting it wrong. These…
Recorded Webinar: New opportunities to scale data operations
Faced with tough competition and ongoing pressure on margins, many firms are reviewing their operating models and assessing whether they can reallocate more resources to high-value projects by outsourcing commoditised processes including data operations. This webinar will explore the different approaches that buy-side and sell-side firms are adopting to scale their data operations, including market…
China’s E Fund Expands Collaboration with Bloomberg
E Fund Management Co. Ltd., one of the largest fund management companies in China, has signed a Memorandum of Understanding to expand its collaboration with Bloomberg. The expansion will cover areas including financial information, technology and climate change, and is designed to assist E Fund in accelerating its global development. Xiaoyan Liu, co-chairman of the…
FinTech Veterans Create Data, Technology and Services ‘Ecosystem’ to Solve Regulatory Challenges
The battery of ESG and financial regulations introduced in the past few years – and the future rules already in an advanced state of preparation – are weighing on institutions as the threat of censure for breaches increases. But a team of FinTech specialists has come up with a novel approach to helping all parties,…
Data Management Summit Returns to NYC with a Focus on Unlocking Data Value for the Business
Don’t miss it! Data Management Summit NYC will be hosted by A-Team Group president and chief content officer Andrew Delaney on 28 September in New York City. The summit promises plenty of new content, a line-up of expert speakers, and lively discussion on topics from how to unlock data value for the business to how…
SimCorp Integrates Clarity AI Sustainability Data into Investment Management Platform
SimCorp, currently the subject of an all-cash offer from Deutsche Börse, has integrated Clarity AI’s sustainability datasets into its investment management platform providing institutional investors with access to AI-powered datasets that will help them align with EU sustainable finance regulations and execute impact investing strategies. Clarity AI uses machine learning and big data to deliver…
China’s CITIC Securities Selects NeoXam DataHub for Master Data Management
CITIC Securities, one of the largest securities companies in China, has selected NeoXam DataHub to deliver a master data management (MDM) project covering all its asset classes, business entities and corporate actions. The solution will be used to collect, clean and process data from Bloomberg, Refinitiv, Wind, Caihui, Juyuan and other data sources, and generate…
ESG Data is “in a Key Moment” – Industry Responds to Upbeat Bloomberg Survey
In a year when headlines focused on political pushback gave the impression that sustainability-focused investment strategies may be in decline, a survey from Bloomberg paints an altogether different picture. ESG data investment is growing and set to continue growing at least into the next 12 months, the financial data giant’s ESG Data Acquisition and Management…
Building Trust in AI: An Imperative for Widespread Adoption
By Anshuman Prasad, Global Head of Risk Analytics, CRISIL. As large language models (LLMs) continue to surprise there is a clamour to adopt AI in a more meaningful fashion across the financial services sector, where machine learning was previously accessible only in rarefied tech or quant circles. From algorithmic trading to predictive analytics and chatbots,…