Gyorsuló üzleti környezet – átalakuló belső IT és partneri rendszer
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CIO konferencia 2019 dr. Szakál László előadása Capture IT Services, Business Applications
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Az előadás kulcs üzenetei voltak a kkv-döntéshozókból álló hallgatóság számára:
1. Az MI-ben tartós tavasz / akár nyár is várható, itt fog velünk maradni, érdemes felkészülni rá.
2. Vita van azzal kapcsolatban, hogy az MI munkát vagy munkahelyeket vesz-e inkább el – de a munka világa egész biztosan átalakul.
3. Az MI / BI ígérete az adatvezéreltség, ami egy hatékonyabb, versenyképesebb, ügyfélbarát és munkavállaló centrikus munkahely / cég létrehozása.
4. Az MI használatának alap feltétele, hogy megfelelő adatvagyonnal rendelkezzetek.
5. Az MI-t többféleképpen lehet használni. A kkv-k számára a SaaS MI megoldások a leggyorsabban és legolcsóbban kipróbálhatók.
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Gyorsuló üzleti környezet – átalakuló belső IT és partneri rendszer
- 1. CAPTURE GYORSULÓ ÜZLETI KÖRNYEZET – ÁTALAKULÓ BELSŐ IT ÉS PARTNERI RENDSZER Dr. Szakál László Ügyvezető igazgató Siófok, 2019 május 9
- 2. IRIDIUM JELENSÉG, EXPONENCIÁLIS TECHNOLÓGIAI HAJTÓERŐK A VÁLLALAT ÜZLETI MODELLJÉRE GYAKOROLT HATÁS AZ ÁTALAKULÁST TÁMOGATÓ SZOLGÁLTATÁSOK Chapter#1Chapter#2Chapter#3
- 3. CHAPTER #1 IRIDIUM JELENSÉG, EXPONENCIÁLIS TECHNOLÓGIAI HAJTÓERŐK A technológia fejlődése nemlineáris Chapter#1Chapter#2Chapter#3
- 4. Page 4IRIDIUM JELENSÉG - 1985 12 ÉV PROJEKT IDŐTARTAM 10 MRD USD BEFEKTETÉS 1 MILLIÓ FELHASZNÁLÓ 3.000 USD HANDSET, 5 USD/PERC 1985 1998 2014
- 5. Page 5EXPONENCIÁLIS TECHNOLÓGIAI FEJLŐDÉS KÍNA ÉS INDIA V.S. GARÁZSCÉGBEN DOLGOZÓ KÉT FIATAL 40% FORTUNE 500 10 ÉV BABSON’S OLIN GRADUATE SCHOOL OF BUSINESS 67 - 15 S&P 500 ÉLETTARTAM RICHARD FOSTER, YALE UNIVERSITY 2008 2018 Wal-Mart Wal-Mart Exxon Exxon Chevron Berkshire Hathaway General Motors Apple ConocoPhillips UnitedHealth GE McKennson Ford CVS Health Citigroup Amazon Bank of America AT&T AT&T General Motors
- 8. CHAPTER #2 A VÁLLALAT ÜZLETI MODELLJÉRE GYAKOROLT HATÁS Az üzlet minden eleme érintett Chapter#1Chapter#2Chapter#3
- 9. Page 9A TECHNOLÓGIA ‘6D’ HATÁSA 6D digitális megté- vesztő Diszrup- tív Pénz- mentes dema- teriali- zált demok- ratizált
- 10. Page 10HATÁSOK A TERMÉKPORTFOLIÓRA FIZIKAI - DIGITÁLIS VALÓS - VIRTUÁLIS TERMÉK – ÉLMÉNY EGYEDI - PLATFORM
- 12. CHAPTER #3 AZ ÁTALAKULÁST TÁMOGATÓ SZOLGÁLTATÁSOK Hogyan tudják a partnerek támogatni az átalakulást az IT működésén keresztül? Chapter#1Chapter#2Chapter#3
- 13. Page 13ÚT A VILÁGSZINTŰ VÉGFELHASZNÁLÓI SZOLGÁLTATÁSOKHOZ UNIFIED PROFILE CONTENT SEMANTICS & CONTROL ACTION CONTENT WORKFLOW DATA PIPELINE MACHINE LEARNING CONTENT PIPELINE DATA CONTENTUNIFIED PROFILE
- 14. Page 14 1 0 00 0 1 1 1 1 1 1 1 00 0 0 0 0 1 1 MINDEN AZ ADATNÁL KEZDŐDIK POS CRM Product Usage Mktg Automate Call Center/ Service Mgmt IoT Geo- Location Ad Engagement Commerce DATA PIPELINE ACTIONSEMANTICS & CONTROL MACHINE LEARNING ADOBE CLOUD PLATFORM
- 15. Page 15AZ ADAT ÉRTELMEZÉSE ÉS FELDOLGOZÁSA DATA PIPELINE ACTION SEMANTICS & CONTROL MACHINE LEARNING ADOBE CLOUD PLATFORM
- 16. Page 16MACHINE LEARNING - ALGORITMUSOK DATA PIPELINE ACTION MACHINE LEARNING SEMANTICS & CONTROL ADOBE CLOUD PLATFORM
- 17. Page 17TESTRESZABOTT KIMENETEK Campaign Ads Mobile eMail Chat 0 1 0 0 0 0 0 0 1 1 1 1 1 1 1 1 11 1 1 0 0 0 0 11 0 0 1 1 DATA PIPELINE ACTION SEMANTICS & CONTROL MACHINE LEARNING ADOBE CLOUD PLATFORM
- 18. Page 18ADAT – ÜGYFÉL – TARTALOM UNIFIED PROFILEDATA CONTENT SEMANTICS & CONTROL ACTION CONTENT WORKFLOW DATA PIPELINE MACHINE LEARNING CONTENT PIPELINE
- 19. Page 19 ORGANIZATION CULTURE PROCESS STRUCTURE AGILIS MŰKÖDÉS FEJLESZTÉSE PRODUCTS IN VALUE STREAMS not STANDALONE PROJECTS xFUNC.TEAMS not HIERARCHICAL SILOS SHORT PROTOTYPE CYCLES not BING-BANGS TRANSPARENT EMPOWERMENT not GOVERNANCE konzultáció TOOL
- 20. Page 20VÉGFELHASZNÁLÓI ÉLMÉNY MÉRÉS Omnichannel szolgáltatás monitoring • Rendszeresen futó éles tranzakciók ellenőrizik az alkalmazás működőképességét • Az ellenőrzés végfelhasználói pontról, éles rendszeren történik • A rendszer kiegészíti a belső informatikai monitoring rendszereket • Az ellenőrzés módja a legfontosabb, tipikus tranzakciók futtatását jelenti (pl. be- és kijelentkezés, számlainformáció lekérdezés, utalás, fedezet ellenőrzés stb…) – PSD2 és azonnali fizetési műveletekre is alkalmazható Elérési csatornák Monitoring process Application Connectivity Infrastructure Web Mobile APi Fat client
- 21. www.capture.eu