國立虎尾科技大學 |

The Future of the Automotive Industry = The Disruptive Forces of AI, Data Analytics, and Digitization /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The Future of the Automotive Industry/ by Inma Martínez.
其他題名:	The Disruptive Forces of AI, Data Analytics, and Digitization /
作者:	Martínez, Inma.
面頁冊數:	XXIII, 204 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	IT in Business. -
電子資源:	https://doi.org/10.1007/978-1-4842-7026-4
ISBN:	9781484270264

The Future of the Automotive Industry = The Disruptive Forces of AI, Data Analytics, and Digitization /
Martínez, Inma.

The Future of the Automotive IndustryThe Disruptive Forces of AI, Data Analytics, and Digitization /[electronic resource] :by Inma Martínez. - 1st ed. 2021. - XXIII, 204 p. 1 illus.online resource.

Chapter 1: OK Computer -- Chapter 2: Mission Control -- Chapter 3: The 5G Car -- Chapter 4: On Brand -- Chapter 5: I.AM.Car -- Chapter 6: Second Home -- Chapter 7: Automation -- Chapter 8: Together in Electric Dreams -- Chapter 9: Smart -- Chapter 10: Digital.

Nothing defined the 20th century more than the evolution of the car industry. The 2020 decade will see the automotive industry leap forward beyond simply moving people geographically toward a new purpose: to become a services industry. This book takes readers on a journey where cars will evolve towards becoming “computers on wheels." The automotive industry is one of the sectors most profoundly changed by digitalization and the 21st century energy needs. You'll explore the shifting paradigms and how cars today represent a new interpretation of what driving should be and what cars should offer. This book presents exciting case studies on how artificial intelligence (AI) and data analytics are used to design future cars, predict car efficiency, ensure safety and simulate engineering dynamics for its design, as well as a new arena for IoT and human data. It opens a window into the origins of cars becoming software-run machines, first to run internal diagnostics, and then to become machines connected to other external machines via Bluetooth, to finally the Internet via 5G. From transportation to solving people’s problems, The Future of the Automotive Industry is less about the technology itself, but more about the outcomes of technology in the future, and the transformative power it has over a much beloved item: cars. You will: Explore smart cities and their evolution when it comes to traffic and vehicles Gain a new perspective on the future of cars and transportation based on how digital technologies will transform vehicles Examine how AI and IoT will create new contexts of interactions with drivers and passengers alike Review concepts such as personalizing the driving experience and how this will take form See how self-driving cars impact data mining of personal data.

ISBN: 9781484270264

Standard No.: 10.1007/978-1-4842-7026-4doiSubjects--Topical Terms:

1064965
IT in Business.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

The Future of the Automotive Industry = The Disruptive Forces of AI, Data Analytics, and Digitization /
LDR:03446nam a22003975i 4500 001 1055852
003 DE-He213
005 20210825193808.0
007 cr nn 008mamaa
008 220103s2021 xxu| s |||| 0|eng d
020 $a 9781484270264 $9 978-1-4842-7026-4
024 7 $a 10.1007/978-1-4842-7026-4 $2 doi
035 $a 978-1-4842-7026-4
050 4 $a TK1-9971
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 621.382 $2 23
100 1 $a Martínez, Inma. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1361142
245 1 4 $a The Future of the Automotive Industry $h [electronic resource] : $b The Disruptive Forces of AI, Data Analytics, and Digitization / $c by Inma Martínez.
250 $a 1st ed. 2021.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2021.
300 $a XXIII, 204 p. 1 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Chapter 1: OK Computer -- Chapter 2: Mission Control -- Chapter 3: The 5G Car -- Chapter 4: On Brand -- Chapter 5: I.AM.Car -- Chapter 6: Second Home -- Chapter 7: Automation -- Chapter 8: Together in Electric Dreams -- Chapter 9: Smart -- Chapter 10: Digital.
520 $a Nothing defined the 20th century more than the evolution of the car industry. The 2020 decade will see the automotive industry leap forward beyond simply moving people geographically toward a new purpose: to become a services industry. This book takes readers on a journey where cars will evolve towards becoming “computers on wheels." The automotive industry is one of the sectors most profoundly changed by digitalization and the 21st century energy needs. You'll explore the shifting paradigms and how cars today represent a new interpretation of what driving should be and what cars should offer. This book presents exciting case studies on how artificial intelligence (AI) and data analytics are used to design future cars, predict car efficiency, ensure safety and simulate engineering dynamics for its design, as well as a new arena for IoT and human data. It opens a window into the origins of cars becoming software-run machines, first to run internal diagnostics, and then to become machines connected to other external machines via Bluetooth, to finally the Internet via 5G. From transportation to solving people’s problems, The Future of the Automotive Industry is less about the technology itself, but more about the outcomes of technology in the future, and the transformative power it has over a much beloved item: cars. You will: Explore smart cities and their evolution when it comes to traffic and vehicles Gain a new perspective on the future of cars and transportation based on how digital technologies will transform vehicles Examine how AI and IoT will create new contexts of interactions with drivers and passengers alike Review concepts such as personalizing the driving experience and how this will take form See how self-driving cars impact data mining of personal data.
650 2 4 $a IT in Business. $3 1064965
650 1 4 $a Communications Engineering, Networks. $3 669809
650 0 $a Business—Data processing. $3 1253699
650 0 $a Information technology. $3 559429
650 0 $a Electrical engineering. $3 596380
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484270257
776 0 8 $i Printed edition: $z 9781484270271
776 0 8 $i Printed edition: $z 9781484275924
856 4 0 $u https://doi.org/10.1007/978-1-4842-7026-4
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)