Counteracting Financial Crimes with Generative Models 

In this contributed article, editorial consultant Jelani Harper discusses generative models, synthetic data, and combating financial crimes. Generative models are gradually reshaping the nature of financial crimes. They can help and hinder both investigators and the fraudsters perpetuating criminal activity.

New OneStream Research Finds 80% of Financial Decision-Makers Believe AI Will Increase Productivity

OneStream, a leader in corporate performance management (CPM) solutions for advancing financial close, consolidation, reporting, planning and forecasting, announced the results of its global “AI-Driven Finance“ survey, revealing the majority (80%) of financial decision-makers believe AI will increase productivity in the office of finance.

Cash Treasury Trading in the Age of AI

In this contributed article, Shankar Narayanan, Head of Trading Research, Quantitative Brokers, discusses how In the era of artificial intelligence, cash treasury trading presents a unique opportunity to integrate new technologies, enhance trading methodologies and meet the growing demands of a rapidly evolving market. 

Financial Institutions are Strengthening Business Intelligence Reporting and Data Warehousing through Workload Automation and Orchestration

In this contributed article, Ryan Dimick, Chief Technology Officer at SMA Technologies, discusses how financial institutions like banks and credit unions are some of the most data-rich organizations in the world. With access to members’ spending habits – from direct deposits and cash inflows to expenditures like mortgages and payments for bills – there’s a treasure trove of data. So, why are some banks and credit unions often disconnected and unable to understand their customers or members?

Survey Finds Improved Access to Siloed, Distributed Data is Financial Tech Executives’ Top Priority for 2022

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.

Webinar: How to Achieve Faster Time to Insight with Third-party Financial Services Data

[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

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

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

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

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.