Forecasting Unleashed: Driving Business Impact with Adaptive Models and MLOps Excellence

This lightning session's goal is to show the audience how powerful forecasting can be in enabling both topline revenue growth and bottom line cost efficiencies. Advanced forecasting techniques - including adaptive algorithms powered by open-source tools like Prophet - not only predict key business metrics but also continuously adapt by comparing forecasted outcomes with actual performance. I use my 11+ years of industry experience and business insights to illustrate how adaptive forecasting can drive measurable business impact in real business scenarios, such as quarterly case volume forecasting to better plan support resourcing, customer retention prediction based on historical behavior, and financial forecasting that improves budget accuracy and timely spending.
I will also show how robust feedback loops-by comparing predictions with actual results-allow models to self-correct and evolve. I also cover how real-time feedback is achieved by building solid data infrastructure and applying modern MLOps practices by drawing upon my own experience and other industry best practices.

The e-poster will delve deeper into how adaptive forecasting can drive business impact and be effectively implemented.
A dynamic retraining process enables algorithms to adjust for biases, seasonal fluctuations, and market volatility, yielding more precise forecasts that support proactive strategies. For example, a company could use these adaptive models to predict customer retention rates across segments or forecast revenue trends in specific geographies, allowing targeted strategies and resource allocation to maximize profitability.
With the right data pipelines and automation tools, businesses can implement continuous monitoring and self-correcting mechanisms that keep predictive analytics aligned with evolving market conditions. By harnessing these technologies, this session will show how modern forecasting solutions serve as powerful engines for sustainable business growth

Forecasting

Machine Learning

Revenue

Cost avoidance

MLOps and Data Infrastructure

Predictive analytics 

Software & Data Science Technologies

Symposium on Data Science and Statistics (SDSS) 2025