{"id":21136,"date":"2025-10-31T15:37:59","date_gmt":"2025-10-31T13:37:59","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=21136\/"},"modified":"2025-10-31T15:37:59","modified_gmt":"2025-10-31T13:37:59","slug":"analytics-news-oktober-2025","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/analytics-news-oktober-2025\/","title":{"rendered":"Umel\u00e1 inteligencia valcuje (aj) svet analytiky"},"content":{"rendered":"

Google m\u00e1 konkurenciu. OpenAI sp\u00fa\u0161\u0165a prehliada\u010d s umelou inteligenciou Atlas<\/h2>\n

Spolo\u010dnos\u0165 OpenAI ozn\u00e1mila spustenie AI prehliada\u010da Atlas. Ide o v\u00fdznamn\u00fd krok v snahe firmy konkurova\u0165 Googlu nielen v oblasti umelej inteligencie, ale aj priamo vo vyh\u013ead\u00e1van\u00ed. Atlas je moment\u00e1lne dostupn\u00fd pre zariadenia s macOS, no u\u017e \u010doskoro bud\u00fa predstaven\u00e9 aj verzie pre Windows, iOS a Android.<\/p>\n

Atlas je postaven\u00fd na technol\u00f3gii ChatGPT a prin\u00e1\u0161a funkcie, ktor\u00e9 id\u00fa \u010faleko za dnes be\u017en\u00e9 funkcie prehliada\u010dov. Dok\u00e1\u017ee napr\u00edklad zhrn\u00fa\u0165 obsah str\u00e1nky, vyplni\u0165 formul\u00e1r, rezervova\u0165 let alebo nap\u00edsa\u0165 k\u00f3d. V\u010faka prepojeniu s hist\u00f3riou komunik\u00e1cie z ChatGPT dok\u00e1\u017ee navy\u0161e pracova\u0165 s kontextom pou\u017e\u00edvate\u013ea \u2013 napr\u00edklad vypracova\u0165 re\u0161er\u0161 vyh\u013ead\u00e1van\u00ed z posledn\u00e9ho obdobia. Pre pou\u017e\u00edvate\u013eov platen\u00fdch verzi\u00ed ChatGPT (Plus, Pro, Business) bude dostupn\u00fd aj tzv. Agent Mode, ktor\u00fd umo\u017en\u00ed automatiz\u00e1ciu \u00faloh, pl\u00e1novanie udalost\u00ed \u010di rezerv\u00e1cie term\u00ednov priamo cez prehliada\u010d.<\/p>\n

Z poh\u013eadu online marketingu ide o \u010fal\u0161\u00ed d\u00f4kaz, \u017ee AI postupne men\u00ed sp\u00f4sob vyh\u013ead\u00e1vania a interakcie s obsahom<\/strong>. Pre market\u00e9rov to znamen\u00e1, \u017ee vidite\u013enos\u0165 zna\u010dky sa u\u017e nebude odv\u00edja\u0165 len od klasick\u00e9ho SEO, ale \u010doraz viac aj od pr\u00edtomnosti v AI odpovediach a integr\u00e1cii s nov\u00fdmi formami vyh\u013ead\u00e1vania. Ruka v ruke s t\u00fdm bud\u00fa prich\u00e1dza\u0165 aj nov\u00e9 v\u00fdzvy z poh\u013eadu analytiky.<\/p>\n

Viac na: Forbes<\/a><\/p>\n

Meta a TikTok: importujte n\u00e1klady kampan\u00ed priamo do Google Analytics<\/strong><\/h2>\n

Google Analytics roz\u0161iruje svoje integr\u00e1cie o \u010fal\u0161ie dve ve\u013ek\u00e9 reklamn\u00e9 platformy \u2013 Meta Ads a TikTok Ads. Po novom je mo\u017en\u00e9 automaticky importova\u0165 n\u00e1kladov\u00e9 d\u00e1ta z t\u00fdchto siet\u00ed priamo do Analytics bez potreby manu\u00e1lneho nahr\u00e1vania CSV s\u00faborov. Tento krok nadv\u00e4zuje na ned\u00e1vne roz\u0161\u00edrenie o Snap a Pinterest a \u010falej posil\u0148uje snahu Googlu pon\u00faknu\u0165 komplexn\u00fd poh\u013ead na v\u00fdkonnos\u0165 kampan\u00ed naprie\u010d platformami. Inzerenti tak m\u00f4\u017eu lep\u0161ie porovn\u00e1va\u0165 ROI<\/a> a analyzova\u0165 efektivitu jednotliv\u00fdch kan\u00e1lov v jednotnom prostred\u00ed.<\/p>\n

Pre market\u00e9rov ide o v\u00fdrazn\u00e9 zjednodu\u0161enie reportingov\u00fdch procesov \u2013 v\u0161etky hlavn\u00e9 soci\u00e1lne siete s\u00fa kone\u010dne prepojen\u00e9 s Google Analytics automaticky, \u010do \u0161etr\u00ed \u010das aj eliminuje riziko ch\u00fdb pri importe d\u00e1t.<\/p>\n

Viac na: Google Support<\/a><\/p>\n

Vlastn\u00fd AI agent? S Agent Builderom od OpenAI \u017eiaden probl\u00e9m!<\/h2>\n

Tie\u017e ste nabehli na vlnu automatiz\u00e1ci\u00ed postaven\u00fdch na n\u00e1strojoch ako n8n, alebo Make? Zautomatizova\u0165 procesy, ktor\u00e9 v\u00e1m \u017eer\u00fa \u010das (a \u010dastokr\u00e1t aj nervy) je vysoko n\u00e1kazliv\u00e9. V rodine orchestr\u00e1torov je odteraz nov\u00fd \u010dlen, Agent Builder<\/a> od Open AI. 6. okt\u00f3bra 2025 ho v San Franciscu predstavili na OpenAI DevDay.<\/p>\n

\"agent<\/p>\n

V n\u00e1stroji si m\u00f4\u017eete vytvori\u0165 vlastn\u00e9ho AI agenta be\u017eiaceho na modeloch ChatGPT od OpenAI. M\u00f4\u017eete vyu\u017ei\u0165 napr\u00edklad integr\u00e1ciu na MCP servery, v\u010faka \u010domu bude v\u00e1\u0161 agent pracova\u0165 s ak\u00fdmiko\u013evek va\u0161imi vlastn\u00fdmi d\u00e1tami. Tak \u010do? Ak\u00fd bude v\u00e1\u0161 prv\u00fd AI agent?<\/p>\n

Viac na: OpenAI<\/a><\/p>\n

Benchmarking v Google Analytics: ako je na tom v\u00e1\u0161 web v porovnan\u00ed s konkurenciou?<\/strong><\/h2>\n

Funkcia Benchmarking v Google Analytics dostala v\u00fdznamn\u00e9 roz\u0161\u00edrenie \u2013 po novom umo\u017e\u0148uje porovn\u00e1va\u0165 nielen percentu\u00e1lne ukazovatele (napr. mieru preklikov \u010di konverzi\u00ed), ale aj absol\u00fatne metriky, ako s\u00fa nov\u00ed pou\u017e\u00edvatelia \u010di celkov\u00e9 tr\u017eby.<\/p>\n

V praxi to znamen\u00e1, \u017ee Analytics dok\u00e1\u017ee odhadn\u00fa\u0165 v\u00fdkon v\u00e1\u0161ho webu v kontexte odvetvia aj pri ukazovate\u013eoch, ktor\u00e9 nie s\u00fa normalizovan\u00e9. Google pritom vyu\u017e\u00edva odhad na z\u00e1klade po\u010dtu akt\u00edvnych pou\u017e\u00edvate\u013eov va\u0161ej slu\u017eby \u2013 n\u00e1sob\u00ed priemern\u00e9 hodnoty z va\u0161ej \u201epeer group\u201c ich pomerom k ve\u013ekosti va\u0161ej vlastnej n\u00e1v\u0161tevnosti.<\/p>\n

\"benchmark<\/p>\n

Tento pr\u00edstup umo\u017e\u0148uje presnej\u0161ie porovnanie s konkurenciou, aj ke\u010f sa objem n\u00e1v\u0161tevnosti medzi webmi l\u00ed\u0161i. Benchmarking tak po novom poskytuje hlb\u0161\u00ed poh\u013ead na to, ako si va\u0161a zna\u010dka vedie v r\u00e1mci svojho trhu a kde sa skr\u00fdva priestor na zlep\u0161enie.<\/p>\n

Viac na: Google Support<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Google m\u00e1 konkurenciu. OpenAI sp\u00fa\u0161\u0165a prehliada\u010d s umelou inteligenciou Atlas Spolo\u010dnos\u0165 OpenAI ozn\u00e1mila spustenie AI prehliada\u010da Atlas. Ide…<\/p>\n","protected":false},"author":70,"featured_media":20569,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[669],"tags":[799,798],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/21136"}],"collection":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/users\/70"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/comments?post=21136"}],"version-history":[{"count":9,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/21136\/revisions"}],"predecessor-version":[{"id":21147,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/21136\/revisions\/21147"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/20569"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=21136"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=21136"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=21136"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}