<prompt> Bapisa le ho bapisa saense ea data le bohlale ba maiketsetso.nan  <response>: Instruction in English: Compare and contrast data science and artificial intelligence. . Response in English: Data Science and Artificial Intelligence are two important fields that often intersect, but they have their own unique characteristics and applications.Data Science involves using a range of methods to extract insight and knowledge from data. Data scientists use statistics, programming, and machine learning to collect, clean, analyze, and present data to support decision making. Data Science is used in many fields, including finance, healthcare, and marketing, to help organizations understand patterns and trends in data, make predictions, and drive better outcomes.Artificial Intelligence, on the other hand, involves creating intelligent machines capable of performing tasks that would normally require human intelligence. AI is a broad field, encompassing various subfields such as machine learning, natural language processing, robotics, and computer vision. AI is used in many applications, including voice assistants, chatbots, and self-driving cars.While there are many similarities between Data Science and AI, there are also some key differences. For example, Data Science is more focused on working with data, whereas AI is more concerned with replicating human intelligence. Data Science tends to be more statistical in nature, while AI can involve a wider range of techniques, including symbolic reasoning and neural networks. Additionally, AI often requires large amounts of data to learn from, while Data Science may involve small or large data sets.Overall, Data Science and AI are two distinct but related fields, with many overlapping technologies and applications. Both are crucial for organizations seeking to make better use of data and build intelligent systems, and both require a combination of technical, analytical, and creative skills. . Response in Sesotho: Data Science le Artificial Intelligence ke likarolo tse peli tsa bohlokoa tse atisang ho kopana, empa li na le litšobotsi tsa tsona tse ikhethang le likopo. Data Science e kenyelletsa ho sebelisa mekhoa e mengata ho ntša temohisiso le tsebo ho tsoa ho data. Bo-rasaense ba datha ba sebelisa lipalo-palo, mananeo, le ho ithuta ka mochini ho bokella, ho hloekisa, ho sekaseka le ho hlahisa lintlha ho tšehetsa liqeto. Data Science e sebelisoa mafapheng a mangata, ho kenyeletsoa lichelete, tlhokomelo ea bophelo bo botle, le ho bapatsa, ho thusa mekhatlo ho utloisisa lipaterone le mekhoa ea data, ho bolela esale pele, le ho tsamaisa liphetho tse betere. Ka lehlakoreng le leng, Artificial Intelligence e akarelletsa ho etsa mechine e bohlale e khonang ho etsa mesebetsi eo ka tloaelo e neng e tla hloka bohlale ba motho. AI ke sebaka se pharaletseng, se kenyelletsang likaroloana tse fapaneng tse kang ho ithuta ka mochini, tsebetso ea puo ea tlhaho, liroboto le pono ea komporo. AI e sebelisoa litsebetsong tse ngata, ho kenyeletsoa bathusi ba lentsoe, li-chatbots, le likoloi tse itsamaisang. Le hoja ho na le lintho tse ngata tse tšoanang pakeng tsa Data Science le AI, ho boetse ho na le liphapang tsa bohlokoa. Mohlala, Saense ea data e shebane haholo le ho sebetsa ka data, athe AI e amehile haholo ka ho pheta bohlale ba motho. Data Science e atisa ho ba lipalo-palo ka tlhaho, ha AI e ka kenyelletsa mekhoa e mengata e mengata, ho kenyelletsa le ho beha mabaka ka tšoantšetso le marang-rang a methapo ea kutlo. Ho feta moo, AI hangata e hloka lintlha tse ngata ho ithuta ho tsona, athe Science Science e ka kenyelletsa lisebelisoa tse nyane kapa tse kholo tsa data. Ka kakaretso, Saense ea data le AI ke likarolo tse peli tse fapaneng empa tse amanang, tse nang le mahlale le litsebetso tse ngata tse fetang. Ka bobeli li bohlokoa bakeng sa mekhatlo e batlang ho sebelisa lintlha hantle le ho aha litsamaiso tse bohlale, me ka bobeli li hloka motsoako oa tsebo ea botekgeniki, ea tlhahlobo le ea boqapi. 