Artificial Intelligence (AI) and Machine Learning (ML) are terms we hear a lot in tech and industry press and can be thrown around without context or background. The PR hype accompanying AI/ML should appropriately trigger skepticism among CFOs in terms of business value the technology can generate. Where is the line between hype and reality? To start asking the right questions, it is helpful to understand some key concepts. * This white paper has been updated with new examples and clarity on how machine learning models learn and get updated.
Sigma IQ is dedicated to not only creating efficiency solutions built on AI-Machine Learning for finance and accounting teams, but also work to educate F&A staff on what the technology is, how it works and what it can do to help your team.
We've created this white paper to help CFO's and senior finance & accounting personnel begin to understand the terminology and functionality of Artificial Intelligence and Machine Learning. Hopefully, this will help you understand that Artificial Intelligence is not thing as much as it is a concept and what are some of the ways that Machine Learning can solve specific problems.
If you find the white paper informative, join our Sigma CFO Brief newsletter list or contact us to learn more about out Enterprise Strength Matching Reconciliation Engine built on Machine Learning.
According to the APQC General Accounting Open Standards Benchmarking survey (2,300 companies participated) - Cycle Time for Monthly close ranges from 4.8 days or less for the top 25% of companies to 10 days or more for the bottom 25% of performers.Learn How To Be a Top Performer
According to a study by Robert Half & the Financial Executives Research Foundation (FERF), only 13% of F&A teams have utilized advancements in technology solutions, with the majority of CFO’s admitting they still struggle with painful aspects of account reconciliation.Read About AI-Driven Cost Savings
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