HomeData scienceNew OneStream Analysis Finds 80% of Monetary Choice-Makers Imagine AI Will Improve...

New OneStream Analysis Finds 80% of Monetary Choice-Makers Imagine AI Will Improve Productiveness


OneStream, a pacesetter in company efficiency administration (CPM) options for advancing monetary shut, consolidation, reporting, planning and forecasting, introduced the outcomes of its world “AI-Pushed Finance“ survey, revealing the bulk (80%) of economic decision-makers consider AI will enhance productiveness within the workplace of finance. In consequence, the vast majority of finance leaders count on AI to grow to be a core part of their finance and accounting processes and workforce augmentation plans over the following 5 years. OneStream’s semi-annual survey gives key insights into the present use, plans to implement and total perspective on AI as a software for the workplace of finance, as monetary decision-makers navigate the usage of this quickly evolving expertise in gentle of present unsure market circumstances.

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The research, performed along with Hanover Analysis, focused finance leaders in North America, Europe and Asia-Pacific, with a give attention to exploring perceptions across the transformational influence and present and deliberate use of AI, machine studying and generative AI on finance processes and finance expertise.

“With the backdrop of a looming scarcity of accounting and finance expertise within the labor market, in addition to unstable world financial circumstances, our survey outcomes spotlight the rising curiosity in the usage of AI to extend productiveness and forecasting accuracy in accounting and finance groups and the worth this will convey to organizations,” stated Tiffany Ma, Sr. Product Advertising and marketing Supervisor for OneStream AI Companies. “As monetary leaders proceed to be taught extra about AI and discover methods to leverage it to extend effectivity and scale back prices, we count on AI to grow to be a key aggressive benefit for companies trying to achieve the brand new 12 months, each in enterprise outcomes and securing high finance expertise.”

Of the monetary leaders exploring methods AI can enhance effectivity and enhance accuracy in enterprise processes, most are generally utilizing AI to streamline and enhance knowledge administration, particularly knowledge correction (69%), cleaning (60%) and mapping (59%) in addition to anomaly detection (53%). Different notable areas the place finance is using AI embrace:

AI Driving Quicker and Extra Actionable Insights

AI is exhibiting a optimistic influence on forecasting and decision-making amongst companies, with 60 p.c of economic decision-makers believing AI applied sciences present extra actionable insights and considerably enhance pace of forecasting. Moreover, over half additionally consider AI has streamlined decision-making (59%) and improved accuracy of forecasting (58%).

Most monetary decision-makers additionally report that AI applied sciences have helped automate key monetary processes. Seventy-three p.c say they’re higher capable of predict and handle danger via the usage of AI, and one-third of respondents say the advantages of AI have resulted in price financial savings.

When requested concerning the influence of AI on the pace of economic planning, 43 p.c of respondents say AI-powered forecasts are anticipated to be up to date in real-time and 31 p.c say they’re anticipated to be up to date every day.

Coaching and Privateness are Key Challenges to AI Adoption

Although the outlook on AI is usually optimistic, monetary leaders nonetheless have issues and face challenges when implementing AI applied sciences. Nearly one-third of companies skilled challenges with worker coaching (32%) and knowledge privateness laws and procedures (31%). Moreover, 28 p.c of companies cite challenges with knowledge breaches and cybersecurity, and integrating AI with present processes, which is probably going the reason for hesitation round AI adoption.

To deal with challenges, 43 p.c of these surveyed are bettering knowledge safety whereas one other 43 p.c applied or are contemplating implementing new software program purposes. Till lately, corporations have struggled to use AI toolsets to their finance processes. However now, corporations like OneStream are delivering packaged AI options to deal with particular useful use instances and enabling prospects to realize excessive ranges of success and optimistic enterprise outcomes.

AI Anticipated to Create New Jobs and Improve Labor Productiveness

Whereas 46 p.c of respondents see AI as a menace to present job roles in accounting and finance, 72 p.c suppose AI will create alternatives for brand new jobs within the trade. Eighty p.c of respondents additionally consider AI will allow finance departments to extend productiveness and effectivity, bettering the pace of worker outputs, knowledge insights and output high quality (48%).

With labor shortages inflicting many organizations to be understaffed, the introduction of AI will help clear up expertise scarcity points by serving to to extend productiveness, improve decision-making and elevate the ability units of accounting and finance groups. Over one-third of respondents say AI provides staff extra time to give attention to revolutionary duties like creating new merchandise (36%) and saves cash that may have been spent on compliance and regulatory reporting (37%). Thirty-seven p.c of employers additionally discover AI is rising worker satisfaction and retention. Relating to AI upskilling, greater than half of companies present inner AI coaching classes (58%) or are within the means of growing a coaching program (57%).

The Way forward for AI in Finance is Vibrant

Over the following 5 years, monetary decision-makers consider AI applied sciences (55%) and generative AI (66%) will grow to be core parts of economic processes. One-third consider their groups will begin utilizing AI applied sciences (37%) and generative AI (29%) considerably extra usually. Whereas monetary leaders nonetheless have a lot to determine about AI, notably with privateness and regulatory points due to the delicate nature of economic knowledge, the longer term outlook of AI for finance professionals seems to be promising.

In regards to the Survey

The commissioned research, performed by Hanover Analysis in August and September of 2023, sourced insights from a complete of 800 monetary decision-makers in North America (US, Canada, or Mexico), Europe (UK, France, Germany, Sweden, Norway, Finland, Denmark) and APAC (Australia, New Zealand, Singapore). All people are over the age of 18, employed full-time and maintain a administration place (C-level government (CFO), VP, Director, Controller) in finance at an organization with $100M + in income.

To entry extra detailed findings of the analysis, please go to https://www.onestream.com/assets/global-napl-cn-tl-ai-survey-infographic/.

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