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008			181127s2019 gw a o |||| 0|eng d
020			_a9783030044688
024	7		_a10.1007/978-3-030-04468-8 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aQ342 _b2019 EB
100	1		_aCorea, Francesco. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _999549
245	1	3	_aAn Introduction to Data : _bEverything You Need to Know About AI, Big Data and Data Science _cby Francesco Corea.
264		1	_aCham _bImprint: Springer _c2019
300			_a1 recurso en línea (XV, 131 páginas)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aStudies in Big Data _x2197-6503 _v50
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aIntroduction to Data -- Big Data Management: How Organizations Create and Implement Data Strategies -- Introduction to Artificial Intelligence -- AI Knowledge Map: how to classify AI technologies -- Advancements in the field -- AI Business Models -- Hiring a data scientist -- AI and Speech Recognition -- AI and Insurance -- AI and Financial Services -- AI and Blockchain -- New roles in AI -- AI and Ethics -- AI and Intellectual Property -- AI and Venture Capital -- A guide to AI accelerators and incubators.
520	3		_aThis book reflects the author's years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely self-contained articles, includes both general strategic reflections and detailed sector-specific information. More concretely, it shares insights into what it means to work with AI and how to do it more efficiently; what it means to hire a data scientist and what new roles there are in the field; how to use AI in specific industries such as finance or insurance; how AI interacts with other technologies such as blockchain; and, in closing, a review of the use of AI in venture capital, as well as a snapshot of acceleration programs for AI companies. .
988			_aPrimersemestre_2019_Robotics
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _9495511 _aDatos masivos
776	0	8	_iPrinted edition: _z9783030044671
776	0	8	_iPrinted edition: _z9783030044695
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-04468-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b11/2019 _ek _zSI