<prompt> Fana ka mehlala e meli ea kamoo khoebo e ka sebelisang ho ithuta ka mochini.nan  <response>: Instruction in English: Give two examples of how a business could use machine learning. . Response in English: 1. Predictive Maintenance: A business could use machine learning to predict equipment failures before they happen. By analyzing sensor data from machines, machine learning algorithms can identify patterns that indicate a potential failure. The business can then schedule maintenance or take other preventative measures to reduce downtime, reduce costs, and improve efficiency.2. Customer Segmentation: A business could use machine learning to analyze customer data and behavior, identifying patterns and grouping customers into different segments based on shared characteristics. These segments could then be used for targeted marketing or personalized offers, improve customer retention, and increase sales. . Response in Sesotho: 1. Tlhokomelo ea Pele: Khoebo e ka sebelisa ho ithuta ka mochini ho bolela esale pele ho hloleha ha lisebelisoa pele ho etsahala. Ka ho sekaseka lintlha tsa sensor tse tsoang mochining, li-algorithms tsa ho ithuta ka mochini li ka tsebahatsa lipaterone tse bontsang ho hloleha ho ka bang teng. Joale khoebo e ka hlophisa tlhokomelo kapa ea nka mehato e meng ea thibelo ho fokotsa nako, ho fokotsa litšenyehelo, le ho ntlafatsa tsebetso. 2. Karohano ea Bareki: Khoebo e ka sebelisa ho ithuta ka mochini ho sekaseka lintlha tsa bareki le boitšoaro, ho tseba mekhoa le ho arola bareki ka likarolo tse fapaneng ho latela litšobotsi tse arolelanoang. Likarolo tsena li ka sebelisoa bakeng sa papatso e lebisitsoeng kapa litefiso tsa motho ka mong, ho ntlafatsa ho boloka bareki, le ho eketsa thekiso. 