[et_\u200bpb_\u200bsection bb_built=\u201c1\u201d][et_pb_row][et_pb_column type=\u201c4_4\u201d][et_pb_text _builder_version=\u201c3.13.1\u201d]<\/p>\n
\u201cArti\u00adfi\u00adcial Intel\u00adli\u00adgence (AI) is already chang\u00ading our lives and cre\u00adat\u00ading a foun\u00adda\u00adtion for an infor\u00adma\u00adtion-based soci\u00adety. In essence, AI is machine learn\u00ading \u2013 prac\u00adtic\u00ading and exe\u00adcut\u00ading tasks with\u00adout rely\u00ading on human pro\u00adgram\u00adming. How efficient!<\/span><\/p>\n For most of us, the embod\u00adi\u00adment of AI are new clever gad\u00adgets and expe\u00adri\u00adences, not for\u00adget\u00adting devices and func\u00adtions such as unlock\u00ading an iPhone with facial recog\u00adni\u00adtion. AI also enables aspects in oth\u00ader parts of lives. On promi\u00adnent area is the health\u00adcare industry.<\/span><\/p>\n For instance, hos\u00adpi\u00adtals are now test\u00ading a pro\u00adgram that inspects pic\u00adtures of human reti\u00adnas for signs of retinopa\u00adthy. Unfor\u00adtu\u00adnate\u00adly, under pre\u00advi\u00adous cir\u00adcum\u00adstances, these signs have been diag\u00adnosed too late for prop\u00ader treat\u00adment. With the help of AI, these symp\u00adtoms can be rec\u00adog\u00adnized in time and dete\u00adri\u00ado\u00adra\u00adtion of the reti\u00adna can be stopped. Anoth\u00ader exam\u00adple of machine learn\u00ading comes from the auto\u00admo\u00adtive indus\u00adtry where it enables vehi\u00adcles to under\u00adstand their sur\u00adround\u00adings and dri\u00adve autonomously.<\/span><\/p>\n Evi\u00addence sug\u00adgests that AI can increase health and hap\u00adpi\u00adness, but one must still be cau\u00adtious. The human fac\u00adtor in deci\u00adsions mak\u00ading can\u00adnot be ful\u00adly replaced in all situations.<\/span><\/p>\n Autonomous vehi\u00adcles, per\u00adson\u00adal assis\u00adtants, smart fac\u00adto\u00adries and robots make our lives eas\u00adi\u00ader, safer and bet\u00adter. The lat\u00adest advances in tech\u00adnol\u00ado\u00adgy have made what once was believed to be mere\u00adly fan\u00adta\u00adsy, a reality.<\/span><\/p>\n AI has begun to morph many indus\u00adtries such as finance, health\u00adcare, resale, logis\u00adtics, and media indus\u00adtry. There\u00adfore, it is expect\u00aded to account for tens of bil\u00adlions of addi\u00adtion\u00adal rev\u00adenue Euros in the next ten years. For instance, many inno\u00adv\u00ada\u00adtive solu\u00adtions for the food pro\u00adduc\u00adtion and man\u00adu\u00adfac\u00adtur\u00ading indus\u00adtry have been cre\u00adat\u00aded through SAP Leonardo.<\/span><\/p>\n Ele\u00adments of AI will be a part of near\u00adly all types of busi\u00adness, at least to some extent. Orga\u00adni\u00adza\u00adtions should, there\u00adfore, inves\u00adti\u00adgate the poten\u00adtial of AI through the fol\u00adlow\u00ading points:<\/span><\/p>\n Through data, AI can autom\u00ada\u00adtize con\u00adtin\u00adu\u00adous learn\u00ading and dis\u00adcov\u00ader rel\u00ade\u00advant data. There\u00adfore, AI is dif\u00adfer\u00adent from autom\u00ada\u00adtiz\u00ading robot\u00adics in equipment.<\/span><\/p>\n Instead of man\u00adu\u00adal task autom\u00ada\u00adti\u00adza\u00adtion, AI reli\u00adably and relent\u00adless\u00adly per\u00adforms vast num\u00adbers of com\u00adput\u00ader\u00adized tasks. Still the human fac\u00adtor can\u00adnot be ignored in this type of automa\u00adtion, espe\u00adcial\u00adly in the imple\u00admen\u00adta\u00adtion phase of sys\u00adtems and when cre\u00adat\u00ading the appro\u00adpri\u00adate questions.<\/span><\/p>\n Arti\u00adfi\u00adcial intel\u00adli\u00adgence can make already exist\u00ading prod\u00aducts smarter. In many cas\u00ades, AI is not sold as an indi\u00advid\u00adual appli\u00adca\u00adtion. How\u00adev\u00ader, many cur\u00adrent prod\u00aducts are improved by incor\u00adpo\u00adrat\u00ading AI fea\u00adtures such as Siri, for instance, which was intro\u00adduced to new\u00ader gen\u00ader\u00ada\u00adtion Apple prod\u00aducts. Automa\u00adtion, chat pages, robots and intel\u00adli\u00adgent machines can be con\u00adnect\u00aded to vast amounts of data to improve tech\u00adnol\u00ado\u00adgy at both the office and at home \u2013 from secu\u00adri\u00adty research to invest\u00adment analyses.<\/span><\/p>\n Through pro\u00adgres\u00adsive learn\u00ading algo\u00adrithms, AI adapts and dis\u00adcov\u00aders data struc\u00adtures and con\u00adsis\u00adten\u00adcies so that the algo\u00adrithm itself gath\u00aders the data. The algo\u00adrithm changes to a clas\u00adsi\u00adfi\u00ader or a pre\u00addic\u00adtor. Just like an algo\u00adrithm can learn to play chess, it can also teach itself which prod\u00aducts to rec\u00adom\u00admend next when you are online.<\/span><\/p>\n Mod\u00adels adapt when they are giv\u00aden new data. If the first answer is not desir\u00adable, AI will learn through addi\u00adtion\u00adal infor\u00adma\u00adtion. The more we use AI, the more it will learn.<\/span><\/p>\n It can be said that AI is ful\u00adly able to squeeze every\u00adthing out of data. When the algo\u00adrithms are self-learn\u00ading, the use of infor\u00adma\u00adtion becomes human cap\u00adi\u00adtal. In a heav\u00adi\u00adly con\u00adtest\u00aded indus\u00adtry where all play\u00aders use the lat\u00adest tech\u00adnol\u00ado\u00adgy, the orga\u00adni\u00adza\u00adtions that uti\u00adlize their data the best will have a true com\u00adpet\u00adi\u00adtive advantage.\u201d<\/span><\/p>\nHow to use AI in practise?<\/strong><\/h2>\n
\n
When will AI become mainstream?<\/strong><\/h2>\n