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.

The Rise of Intelligent Apps in Finance

In this contributed article, Rohit Gupta, CEO and Founder, Auditoria.AI, discusses how the future of finance hinges delicately on the ability to adapt. Unfortunately, the finance department is often the last stop on the progress tour – and sometimes overlooked altogether. Optical Character Recognition (OCR) and Robotic Process Automation (RPA) are two of the most common automation tools in corporate finance today. While both tools serve a specific purpose – RPA is programmed to execute high-volume, repeatable tasks, and OCR helps extract structured data in an automated fashion – as standalone solutions, they no longer pull their weight.

Consumers Don’t Have To Leave Your CFI to Bank in a Better One

In this contributed article, Uday Akkaraju, CEO of BOND.AI, discusses how AI can help CFIs (community-based financial institutions) meet the needs of their consumers. In 2020 and 2021, 98% of community banks offered mobile banking, yet new account openings dropped as much as 51% to 25% for community banks and credit unions. Instead of competing head on with the big banks on product offerings, CFIs should strive to understand their unique community needs.

How Automation Gets Finance Workloads Back in Balance

How can finance teams lighten the workload and take their rightful place advising on business strategies and best practices? Automation can help. Software robots are ideally suited for transaction processing, accounting operations, and compliance work. It’s time for finance teams to do more of what they were meant to do: help the entire business be better. In this eBook from UiPath we’ll take a quick look at how automation can make that happen.

How automation gets finance workloads back in balance

How can finance teams lighten the workload and take their rightful place advising on  business strategies and best practices? Automation can help. Software robots are ideally suited for transaction processing, accounting operations, and compliance work. It’s time for finance teams to do more of what they were meant to do: help the entire business be better. In this eBook from UiPath we’ll take a quick look at how automation can make that happen.

insideBIGDATA Guide to Big Data for Finance (Part 3)

[SPONSORED CONTENT] This insideBIGDATA technology guide co-sponsored by Dell Technologies and AMD, “insideBIGDATA Guide to Big Data for Finance,” provides direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate.

insideBIGDATA Guide to Big Data for Finance (Part 2)

This insideBIGDATA technology guide co-sponsored by Dell Technologies and AMD, insideBIGDATA Guide to Big Data for Finance, provides direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate.

insideBIGDATA Guide to Big Data for Finance

This insideBIGDATA technology guide co-sponsored by Dell Technologies and AMD, insideBIGDATA Guide to Big Data for Finance, provides direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate.

insideBIGDATA Guide to Big Data for Finance

The goal for this insideBIGDATA technology guide, sponsored by Dell Technologies, is to provide direction for enterprise  thought leaders on ways of leveraging big `data technologies in support of analytics  proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate: (i) Retail Banking; (ii) Regulatory and Compliance, (iii) Algorithmic Trading; and (iv) Security Considerations.

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.