InterSystems, a creative data technology provider dedicated to helping customers solve the most critical scalability, interoperability, and speed problems, recently sponsored a comprehensive survey of financial services technology executives, exploring how financial firms can use enterprise data to drive actionable insights across their business teams.
Survey Finds Improved Access to Siloed, Distributed Data is Financial Tech Executives’ Top Priority for 2022
March 10, 2022 by Leave a Comment
Webinar: How to Achieve Faster Time to Insight with Third-party Financial Services Data
November 8, 2021 by 1 Comment
[SPONSORED POST] Join this webinar to learn how companies consume financial exchange data natively through AWS Data Exchange to make consumption and analysis more efficient, agile, and accessible. Hear from FactSet leadership about the company’s strategic choice to bring their data to the cloud ensuring customers can effectively and efficiently use their data to succeed.
How Financial Institutions Can Deal with Unstructured Data Overload
March 15, 2021 by 1 Comment
In this contributed article, Chandini Jain, CEO of Auquan, outlines how new AI-powered tools can aggregate, query, analyze and leverage unstructured data to unveil deep insights in record time. She takes a look into how these tools are providing value and helping financial institutions turn mounds of unstructured data into decision-making power.
Federal Reserve Considering Formal Request for Public Feedback about the Adoption of AI in the Financial Services Sector
January 30, 2021 by Leave a Comment
It’s great to see the Fed move in the direction of potentially providing clarification and additional guidance around supervision of AI/ML in financial services. Additional guidance from the Fed and other agencies (OCC, CFPB) would help a lot to clarify supervisory expectations when AI/ML models are used. Specific guidance around these topics, provided by Anupam Datta, the Co-Founder, President, and Chief Scientist of Truera, are important.
Keeping Pace: How Data Disconnects are Causing Large Financial Institutions to Lag their Competitors
March 26, 2020 by Leave a Comment
This eBook reports on the results of the survey sponsored by Tamr, the data mastering company, on the state of data and digital transformation in financial services. Tamr conducted the survey of 300 C-suite executives in United States financial institutions with revenue of $1 billion or greater.
How AI Technologies Can Put Purpose and Profit into ESG Investments
June 6, 2019 by Leave a Comment
In this contributed article, Ruggero Gramatica, Founder and CEO of Yewno, discusses how institutional investors can increase financial returns and make better investment decisions in the field of environment, social, and governance (ESG) investing.
Looking at a New AI Tool for Financial Services – Insights for Wealth Advisors, Managers and Retail Bankers
May 7, 2019 by 1 Comment
Salesforce announced a complete AI-augmented platform built specifically for financial institutions, offering wealth managers and bankers AI-powered insights and recommendations that will help grow their book of business and deepen client relationships.
Big Data in Financial Services: Analyze-As-You-Go
April 30, 2019 by 1 Comment
In this contributed article, Hassan Mohamed, a London-based analyst specializing in financial operations and credit management in EU markets, explains where to hit in any organisation in order to monetize big data with an action plan. Also included is a comparison between 3 Vs and 5 Vs, a discussion of how to improve performance in any corporate department using big data, unquestioned answers about big data, and a clear action plan to monetize big data and gain the most of it.
Applying AI Technology to Reduce AML Risk for Global Financial Institutions
October 23, 2017 by Leave a Comment
The proven field of AI and machine learning for anti-money laundering (AML) is the only technology that can effectively improve financial crime investigations, scale to the volume and velocity of the modern financial system, and counter criminals’ evolving approaches to money laundering. QuantaVerse published a new paper that examines how financial institutions can apply AI […]
How Data Science Can Save the Traditional Banking Industry
December 15, 2016 by Leave a Comment
In today’s technologically advancing world, traditional banking groups are being seriously challenged. As Google, Amazon, Facebook, Apple offer more and more banking services and financial technology startups gain traction, the banking industry must take a look at how it can stay competitive. To do this, banking needs to rely on data science.
