Machine learning relies heavily on data as fuel. Dima Boyko discusses how various organizations have successfully used machine learning and data to improve processes and outcomes. Red Roof Inn used weather and flight cancellation data to increase revenue during peak seasons by 10%. The Los Angeles Police Department used historical data analysis and prediction to reduce thefts by 33% and victims by 21%. UPS used data from over 16.9 million daily deliveries across 195 countries to reduce fuel usage and exhausts through optimized routing. InFakt automated accounting used data from past invoices to develop a machine learning model that can now automatically book around 70% of invoices, saving accountants 600 hours per month for more strategic work.