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SEI Partners Snowflake to Deliver Data Cloud Offering Real-Time Data and Analytics

SEI, an Oaks, Pennsylvania provider of wealth and asset management solutions, has partnered with Snowflake to release SEI Data Cloud, a platform designed to provide clients with real-time data and analytics. The platform is powered by Snowflake and can be accessed directly through the SEI Wealth Platform (SWP) or as a standalone service. The company…

Challenges and Opportunities of Internal Self-Service Data Solutions

The concept of internal self-service data solutions is gaining traction as financial institutions and corporations see value in the data sets they generate through their business activities. That said, harnessing the data to provide valuable insights for internal business teams can be a challenge. One approach is to adopt a self-service data delivery model that…

Why ESG Data Is the Key to Connecting Next Generation Investors

By Marion Leslie, Head of Financial Information, Member of the Executive Board, and Executive Board Lead for Sustainability at SIX Group. Last year saw record inflows for ESG in passive investing, as $391 billion poured into ESG ETF assets, up nearly 100% from 2020 and ten times as much as in 2017, according to Statista research. There is…

Cboe Global Markets Selects Snowflake for Next Leg of Journey to Cloud

Cboe Global Markets is working with Snowflake to migrate its corporate data and analytics from on-premises systems to the cloud. The adoption of Snowflake’s data cloud continues Cboe’s journey to cloud and is expected to transform the company’s data and analytics infrastructure into a modern cloud architecture, bringing speed, scalability, and efficiency to its handling…

FactSet Collaborates with CID to Strengthen AI Capabilities for Clients

FactSet has teamed up with AI software specialist CID to build a joint data lake for the financial services industry. The data lake merges unstructured public web content with FactSet’s structured content sets, along with optional third-party and client content, into vast entity relationship graphs. The aim of the multi-year collaboration is to provide FactSet…

Moving from Legacy Systems to an Interoperable Future – Why Innovation is No Longer Big Bang

In this Q&A, Stephen Collie, head of sales engineering at FINBOURNE Technology, discusses the core data management challenges paralysing the buy-side today, and explores the critical role of a Modern Financial Data Stack and incremental innovation in the transition to an interoperable future. Q: Stephen, given FINBOURNE’s work with organisations across the global investment community,…

Driving Data Adoption Throughout an Organization via Self-Service

Financial institutions and corporations across the board are seeing value in the data sets they generate through their business activities. But harnessing this data to provide valuable insights for internal business teams can be a challenge. One approach is to adopt a self-serve data delivery model that empowers consumers and ensures they get access to…

Data Management Tools Are Priority Investment Among Financial Services Firms

Investing in technology to optimise data and modernise data management are top priorities for financial services firms. Research by Broadridge Financial Solutions among 200 financial services professions at SIFMA Operations Conference in May 2022 shows towards 98% of respondents’ companies investing front-to-back-office workflow management, with 27% of respondents citing data management tools as their firm’s…

It All Comes Out in the Wash: Why Clean ESG Data is Key

By Kifaya Belkaaloul, Head of Regulatory, NeoXam. As ESG investing becomes a vital offering for financial institutions, there has been a marked rise in marketing efforts of these capabilities and subsequently an increase in accusations of greenwashing. Current allegations against DWS, Deutsche Bank’s funds arm, are gaining a head of steam, demonstrated by the resignation…

UK Governments Releases AI Rulebook

The UK government has released an AI rulebook with a view to protecting data and promoting responsible use of the technology. Proposals in the rulebook look to future regulation of AI and take a less centralised approach than the EU. AI is defined as ‘machines which learn from data how to perform tasks normally performed…