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 company growth


Predicting Company Growth by Econophysics informed Machine Learning

Tao, Ruyi, Liu, Kaiwei, Jing, Xu, Zhang, Jiang

arXiv.org Artificial Intelligence

Predicting company growth is crucial for strategic adjustment, operational decision-making, risk assessment, and loan eligibility reviews. Traditional models for company growth often focus too much on theory, overlooking practical forecasting, or they rely solely on time series forecasting techniques, ignoring interpretability and the inherent mechanisms of company growth. In this paper, we propose a machine learning-based prediction framework that incorporates an econophysics model for company growth. Our model captures both the intrinsic growth mechanisms of companies led by scaling laws and the fluctuations influenced by random factors and individual decisions, demonstrating superior predictive performance compared with methods that use time series techniques alone. Its advantages are more pronounced in long-range prediction tasks. By explicitly modeling the baseline growth and volatility components, our model is more interpretable.


Data Engineer at Notarize - Remote

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Solve Problems That Matter: We serve some of the most important moments in people's lives. It's a responsibility we embrace by focusing obsessively on the issues that will have a quantifiable impact on our customers and our company growth. Yes Before No: We are optimistic about our ability to change lives by transforming outmoded processes. We believe our efforts can create a better future, and it is our attitude that will allow us to pull that future closer. Start With Why: We don't presume to understand the intentions of the people around us, whether coworkers or customers.


AI in Marketing and Sales for 2021 - What is beneficial for company growth

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AI Implementations in Marketing and Sales Underwent a Hype in the Last Year, Now It Is a Norm to Seek Digital Changes for Efficiency and Acceleration. AI has been in our lives for a while, but its applications had been quite less before 2020 as compared to now. There were people who feared that bringing AI into the picture would trigger human replacement. Contrarily, there were also some who thought that AI would just take all the workload off their backs. In the following year, the doubts cleared off till a pretty good extent.