Evita LKA Latvijas Kultūras koledžas...The promise of artificial intelligence. Redefining...
Transcript of Evita LKA Latvijas Kultūras koledžas...The promise of artificial intelligence. Redefining...
Evita PīlēģeLKA Latvijas Kultūras koledžas
Attīstības un projektu vadības nodaļas vadītā[email protected]
26.06.2017.
TehnoloģijasIT ML AI
DatiBig data
Datu zinātneData scientist
BiznessLēmumu
pieņemšana
Pieprasījums
(Insight Data Science White Paper)
Ietekme menedžmentā
Dati, tehnoloģijas maina to, ko
• zina,
• var,
• ir vērts darīt pašam.
(Accenture Institute for High Performance, 2016)
Ietekme industrijā: TV
Ietekme industrijā: Mode
(Simo Serra,Neuroaesthetics in Fashion, 2015)
Ietekme industrijā: Mūzika
(https://www.nextbigsound.com/)
Ietekme industrijā: Dizains
(https://prisma-ai.com/)
LKK piedāvājums
Datu dizainers (data artist)
Biznessdatu
Analīze DizainsR
• Radošums
A
• Analīze
D
• Dizains
B
• Bizness
Radoš-
ums
Biz
nes
s An
alīze
Dizains
Paldies!
Mums ir Ideja
Drosme
Plāns
Zināšanas
Priecāsimies par Kritiku
Datiem
Sadarbības partneriem
Avoti
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2. Burby, Jason, Shane Atchison. Big data and creativity: What we can learn from 'House of Cards’. The next web, 2016. https://thenextweb.com/insider/2016/03/20/datainspirescreativity/#.tnw_jLuzRdCv
3. Carr, David. Giving Viewers What They Want. The New York Times, 2013. http://www.nytimes.com/2013/02/25/business/media/forhouseofcardsusingbigdatatoguaranteeitspopularity.html?_r=0
4. Girling, Rob. AI and the future of design: Will machines take your job? O'Reilly Media, 2016. https://www.oreilly.com/ideas/aiandthefutureofdesignwillmachinestakeyourjob
5. Granville, Vincent. The Rise of the Data Artist in Business. Data science central, 2013. http://www.datasciencecentral.com/profiles/blogs/theriseofthedataartistinbusiness
6. Gutierrez, Sebastian. Data Scientists at Work. Appres, 2014.
7. Hayes , Bob. Industry Differences in Data Science Roles, Skills and Project Outcomes. Business2community, 2016. http://www.business2community.com/bigdata/industrydifferencesdatasciencerolesskillsprojectoutcomes01539001#IMARCGoJDPzJVpwC.97
8. Harris,Harlan D., Sean Patrick Murphy, Marck Vaisman. Analyzing the Analyzers. O’Reilly Media, 2015.
9. Insight Data Science White Paper http://xyz.insightdatascience.com/Insight_White_Paper.pdf
10. Kolbjørnsrud, Vegard Richard Amico , Robert J. Thomas. The promise of artificial intelligence. Redefining management in the workforce of the future. Accenture Institute for High Performance, 2016.
11. Lau, Laura. Forget Being a Data Scientist and Become a Data Artist. The Tibco blog, 2013. https://www.tibco.com/blog/2013/05/04/forgetbeingadatascientistandbecomeadataartist
12. Next Big Sound. https://www.nextbigsound.com/
13. Ng, Alexis. How data driven creativity is changing advertising. The Drum, 2017
14. Prisma AI. https://prisma-ai.com
15. Simo-Serra, Edgar, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun Neuroaesthetics in Fashion: Modeling the Perception of Fashionability. Computer Vision Foundation, 2015. https://www.cs.toronto.edu/~urtasun/publications/simo_etal_cvpr15.pdf
16. This algorithm just solved fashion. Wired, 2015. http://www.wired.co.uk/article/fashionsolvingalgorithmjudgesyourinstagramphotos
17. Thread's fashion algorithm has 3.7 trillion style tips. Wired, 2015. http://www.wired.co.uk/article/algorithmthatcandressyouthread