In a special edition of the Data Minds Podcast, from the Data Science Conference in Belgrade, Nenad sits with Amadeusz Andrzejewski, Partner at Deloitte and leader of AI & Data for Poland.<\/p>\n
They talked about how enterprises can scale AI effectively, balancing quick wins with long-term value. From lessons learned at McKinsey\u2019s QuantumBlack to current trends in retail, banking, and telco, Amadeusz shares practical advice on building data-driven cultures, managing talent, and navigating the complexities of AI adoption in large organizations.<\/p>\n
00:53 \u2013 How Amadeusz became a business consultant: education and career journey
\n03:44 \u2013 early Python experience
\n08:29 \u2013 Measuring AI success – lessons from the first telco transformation project
\n13:30 \u2013 Driving AI adoption – involving end-users early and overcoming resistance
\n19:40 \u2013 Three levels of enterprise AI
\n23:38 \u2013 Who is actually innovating – across Deloitte\u2019s client base<\/p>\n
U jo\u0161 jednom izdanju gostovanja Data Minds podcast na DSC-u, kao gosta smo doveli Amadeusza Andrzejewskog partnerom u Deloitte-u i liderom AI i Data sektora za Poljsku.<\/p>\n
U razgovoru sa Amadeuszom pro\u0161li smo kroz njegove savete kako se najbolje balansira izme\u0111u rezultata i dugoro\u010dne vrednosti.
\nNau\u010dili smo i kako da izgradimo kulturu zasnovanu na podacima, kako baratati talentom. Pored toga saznali smo kako savladati slo\u017eenost implementacije AI u velike korporacijama, kao i kako uspe\u0161no skalirati AI.
\nSve ove savete nam je doneo iz svog iskustva iz McKinsey QuantumBlack tima.<\/p>\n
00:53 \u2013 Kako je Amadeusz postao poslovni konsultant
\n03:44 \u2013 Prva iskustva sa Pythonom
\n08:29 \u2013 Merenje uspeha AI projekta \u2013 lekcije iz prve transformacije u telekomunikacionoj industriji
\n13:30 \u2013 Usvajanje AI-a \u2013 Kako prevazi\u0107i otpor i uklju\u010diti krajnjeg korisnika
\n19:40 \u2013 Tri nivoa AI u preduze\u0107ima
\n23:38 \u2013 Ko zapravo inovira \u2013 uvidi iz Deloitte-ove baze klijenata<\/p>","protected":false},"excerpt":{"rendered":"
In a special edition of the Data Minds Podcast, from the Data Science Conference in Belgrade, Nenad sits with Amadeusz Andrzejewski, Partner at Deloitte and leader of AI & Data for Poland.<\/p>\n
They talked about how enterprises can scale AI effectively, balancing quick wins with long-term value. From lessons learned at McKinsey\u2019s QuantumBlack to current trends in retail, banking, and telco, Amadeusz shares practical advice on building data-driven cultures, managing talent, and navigating the complexities of AI adoption in large organizations.<\/p>\n
00:53 \u2013 How Amadeusz became a business consultant: education and career journey
\n03:44 \u2013 early Python experience
\n08:29 \u2013 Measuring AI success – lessons from the first telco transformation project
\n13:30 \u2013 Driving AI adoption – involving end-users early and overcoming resistance
\n19:40 \u2013 Three levels of enterprise AI
\n23:38 \u2013 Who is actually innovating – across Deloitte\u2019s client base<\/p>\n
U jo\u0161 jednom izdanju gostovanja Data Minds podcast na DSC-u, kao gosta smo doveli Amadeusza Andrzejewskog partnerom u Deloitte-u i liderom AI i Data sektora za Poljsku.<\/p>\n
U razgovoru sa Amadeuszom pro\u0161li smo kroz njegove savete kako se najbolje balansira izme\u0111u rezultata i dugoro\u010dne vrednosti.
\nNau\u010dili smo i kako da izgradimo kulturu zasnovanu na podacima, kako baratati talentom. Pored toga saznali smo kako savladati slo\u017eenost implementacije AI u velike korporacijama, kao i kako uspe\u0161no skalirati AI.
\nSve ove savete nam je doneo iz svog iskustva iz McKinsey QuantumBlack tima.<\/p>\n
00:53 \u2013 Kako je Amadeusz postao poslovni konsultant
\n03:44 \u2013 Prva iskustva sa Pythonom
\n08:29 \u2013 Merenje uspeha AI projekta \u2013 lekcije iz prve transformacije u telekomunikacionoj industriji
\n13:30 \u2013 Usvajanje AI-a \u2013 Kako prevazi\u0107i otpor i uklju\u010diti krajnjeg korisnika
\n19:40 \u2013 Tri nivoa AI u preduze\u0107ima
\n23:38 \u2013 Ko zapravo inovira \u2013 uvidi iz Deloitte-ove baze klijenata<\/p>","protected":false},"author":3,"featured_media":81506,"comment_status":"","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[530],"tags":[],"class_list":["post-302469","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-minds-podcast"],"_links":{"self":[{"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/posts\/302469","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/comments?post=302469"}],"version-history":[{"count":0,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/posts\/302469\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/media\/81506"}],"wp:attachment":[{"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/media?parent=302469"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/categories?post=302469"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/tags?post=302469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}