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3 Ways Thinking Like a Data Scientist Helps to Make Better Business Decisions

In this special guest feature, Sanjay Vyas, CTO at Planful, discusses how tech departments can interpret data to steer company trajectory. Business leaders will need to encourage their teams to think like data scientists to not only collect more data at higher levels of granularity, but also find streamlined ways to glean better insights to make more frequent and informed strategic decisions.

Study: Majority of CFOs Are Feeling Mounting Pressure to Automate the Finance Function

To better understand the impact of automation within finance departments,, the artificial intelligence (AI) platform for autonomous accounting and real-time insights, in partnership with StrategicCFO360 released a new study examining the challenges and opportunities Chief Financial Officers (CFOs) face in the current environment to automate the finance function with the resources and systems they have.

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.

The Secret to Solving the World’s Crimes Lies in Data

In this contributed article, Chris Cardwell, Product Go-To-Market Lead for Tresata, discusses how data can help tackle the global problem that is financial crime, but there are challenges within the data itself that complicate investigations further.

The Intersection of Data and Lending

In this contributed article, Sarah Davies, Chief Data and Analytics Officer, Nova Credit, explains how alternative data sources are the solution to solving for financial inclusion, the strategic advantages data provides for lenders, and why data collection should be seen as a long-term investment.

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.

How Simple AI Can Enhance The Financial Services Industry

In this special guest feature, Kumesh Aroomoogan, Co-founder and CEO of Accern, believes that data is increasingly being used and desired and financial professionals need faster ways to take advantage of it. Utilizing no-code technology is a way to accomplish this, and when you simplify AI, the benefits and opportunities become profound and exponentially more available.

3 Ways AI and Machine Learning are Helping Invoices Processing Automation

In this contributed article, IT and digital marketing specialist Natasha Lane, takes a look at how exactly AI and ML can help businesses improve their processes. Let’s look at the three ways the two can help invoice processing automation.

How Better Data Management Can Help SMBs Predict the Future

In this special guest feature, Didi Gurfinkel, Co-Founder and CEO of DataRails, discusses the potential benefits of data for SMB predictive insights. Equipped with predictive analytics and data consolidation platforms, SMBs can streamline their data management and unlock vital insights, making it easier for business leaders to develop contingency plans in abnormal times like these – and making it harder for events beyond a business’s control to upend everything.

Leveraging the Power of Data and Analytics … Yeah, Yeah. A Pragmatic Approach in 5 Steps

In this special guest feature, Allan Brown, VP and General Manager of U.S. Digital Community Markets at Finastra, believes the lifecycle of data is circular, not linear and in order to put data into action, it is crucial that FIs take a holistic look at what that truly means. Understanding how to properly cleanse and utilize data will ultimately help successfully drive experience and innovation.