<prompt> Hlalosa karolo ea Saense ea data ho etsa liqeto tse nolofalitsoeng ke AInan  <response>: Instruction in English: Describe the role of Data Science in AI-enabled decision making . Response in English: Data Science plays a crucial role in enabling AI-based decision making by providing insights and foresight from massive amounts of data. Through data management, analysis, modeling, and visualization, data science helps decision makers to understand complex systems, identify patterns, and make informed choices based on evidence.The process of AI-enabled decision making involves the use of algorithms and models to analyze, learn from, and make predictions based on data. Data science provides the foundation for this process by collecting, cleaning, and preparing the data for analysis. Data scientists use various techniques such as statistics, machine learning, and predictive analysis to build models that can accurately identify trends and relationships within the data. These models are then used by AI to make decisions or recommendations.Additionally, data science enables the continuous improvement of AI systems through feedback loops. As the AI makes decisions, new data is generated, which can be used to further refine the models and improve the accuracy of future decisions. In this way, data science helps to create a virtuous cycle of constant learning and improvement, which is vital for effective decision making.In summary, data science plays a fundamental role in AI-enabled decision making by providing the data, insights, and models that drive the decision making process, as well as continuously improving the accuracy and effectiveness of the AI systems. . Response in Sesotho: Data Science e bapala karolo ea bohlokoa ho nolofatseng ho etsa liqeto tse thehiloeng ho AI ka ho fana ka leseli le ponelo-pele ho tsoa ho bongata bo boholo ba data. Ka taolo ea data, tlhahlobo, mohlala le pono, mahlale a data a thusa baetsi ba liqeto ho utloisisa litsamaiso tse rarahaneng, ho tseba mekhoa, le ho etsa liqeto tse nepahetseng ho latela bopaki. Mokhoa oa ho etsa liqeto o nolofalitsoeng ke AI o kenyelletsa tšebeliso ea li-algorithms le mehlala ho sekaseka, ho ithuta ho tsoa, le ho etsa likhakanyo tse thehiloeng ho data. Saense ea data e fana ka motheo oa tsebetso ena ka ho bokella, ho hloekisa le ho lokisa lintlha bakeng sa tlhahlobo. Bo-rasaense ba data ba sebelisa mekhoa e fapaneng joalo ka lipalo-palo, ho ithuta ka mochini, le tlhahlobo ea bonohe ho aha mefuta e ka khethollang mekhoa le likamano ka hara data. Mehlala ena e sebelisoa ke AI ho etsa liqeto kapa likhothaletso. Ho feta moo, mahlale a data a thusa ntlafatso e tsoelang pele ea litsamaiso tsa AI ka li-loops tsa maikutlo. Ha AI e etsa liqeto, ho hlahisoa lintlha tse ncha, tse ka sebelisoang ho tsoela pele ho ntlafatsa mehlala le ho ntlafatsa ho nepahala ha liqeto tse tlang. Ka tsela ena, mahlale a data a thusa ho theha potoloho e ntle ea ho ithuta le ntlafatso e sa feleng, e leng bohlokoa bakeng sa ho etsa liqeto tse atlehileng. Ka bokhutšoanyane, saense ea data e bapala karolo ea bohlokoa ho etseng liqeto tse nolofalitsoeng ke AI ka ho fana ka lintlha, lintlha, le mehlala e tsamaisang tsebetso ea ho etsa liqeto, hammoho le ho tsoela pele ho ntlafatsa ho nepahala le katleho ea litsamaiso tsa AI. 