9 Critical Pitfalls to Avoid on the AI Journey in Finance
Traditionally, finance professionals have used Excel for modeling, but that Excel tends to produce inaccurate results because it overgeneralizes the relationship between several data elements. AI, on the other hand, can develop a formula based on previous data trends that...
Cloud cost forecasting: FP&A’s new headache?
Cloud Cost forecasting: FP&A’s new headache Even after 4 years, we are still trying to figure out how to predict cloud costs in our SaaS company. Akhil Vijay Director, FP&A During the pandemic, Companies have made a major shift toward...
AI usecase: Account Receivables
Use A.I to forecast Account receivables This blog explains how FP&A can utilize Artificial Intelligence (AI) to make a data-driven forecast of Account Receivables by examining historical invoices and payment data. Account Receivables play a critical part in a company’s...
Myths of A.I in corporate finance
Exploring Myths of A.I in Finance & Debunking them In finance, we always thought A.I is a black box and its hard to build trust and consensus on the results produced. Kari Ginwet VP-Finance As companies just started to embrace...
A.I usecase: People cost forecasting
USING MACHINE LEARNING FOR FORECASTING PEOPLE COST “People’s expenses forecasting is one of our biggest pain points every month in our finance process. We perform a bottoms up approach which takes a lot of effort from our team” Jonathan FP&A...
How to Get Started with Machine Learning in FP&A?
Pointers to Data, Granularity, Models and accuracy
Use A.I to reduce stress during budget season : FP&A
As the year progresses, FP&A teams begin to take PTOs to take a much-needed break before the busy budget season begins. Budgeting is a time-consuming procedure that lasts 2-4 months each year. It begins with the sales budget, then moves...
Copyright © 2021 Design by Tadaa.ai