What to do when machines do everything: how to get ahead in a world of AI, algorithms, bots, and big data
What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the f...
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Weitere beteiligte Personen: | |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Place of publication not identified]
Ascent Audio
2024
|
| Ausgabe: | [First edition]. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781663730916/?ar |
| Zusammenfassung: | What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Drawing upon real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created. Written by a team of business and technology expert practitioners, this book provides a clear path to the future of your work. The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom; the AHEAD model outlines five strategic initiatives that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy, and innovation. |
| Beschreibung: | Online resource; title from title details screen (O'Reilly, viewed August 14, 2024) |
| Umfang: | 1 Online-Ressource (1 sound file (7 hr., 35 min.)) |
| ISBN: | 9781663730916 1663730911 |
Internformat
MARC
| LEADER | 00000nam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-106608851 | ||
| 003 | DE-627-1 | ||
| 005 | 20240902105241.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240902s2024 xx |||||o 00| ||eng c | ||
| 020 | |a 9781663730916 |c electronic audio bk. |9 978-1-6637-3091-6 | ||
| 020 | |a 1663730911 |c electronic audio bk. |9 1-6637-3091-1 | ||
| 035 | |a (DE-627-1)106608851 | ||
| 035 | |a (DE-599)KEP106608851 | ||
| 035 | |a (ORHE)9781663730916 | ||
| 035 | |a (DE-627-1)106608851 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 658/.05 |2 23/eng/20240814 | |
| 100 | 1 | |a Frank, Malcolm |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a What to do when machines do everything |b how to get ahead in a world of AI, algorithms, bots, and big data |c Malcolm Frank, Paul Roehrig, and Ben Pring |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a [Place of publication not identified] |b Ascent Audio |c 2024 | |
| 300 | |a 1 Online-Ressource (1 sound file (7 hr., 35 min.)) | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Online resource; title from title details screen (O'Reilly, viewed August 14, 2024) | ||
| 520 | |a What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Drawing upon real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created. Written by a team of business and technology expert practitioners, this book provides a clear path to the future of your work. The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom; the AHEAD model outlines five strategic initiatives that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy, and innovation. | ||
| 650 | 0 | |a Automation | |
| 650 | 0 | |a Information technology |x Economic aspects | |
| 650 | 0 | |a Technological innovations |x Economic aspects | |
| 650 | 4 | |a Automatisation | |
| 650 | 4 | |a Technologie de l'information ; Aspect économique | |
| 650 | 4 | |a Innovations ; Aspect économique | |
| 650 | 4 | |a automation | |
| 650 | 4 | |a Audiobooks | |
| 650 | 4 | |a Livres audio | |
| 700 | 1 | |a Roehrig, Paul |e VerfasserIn |4 aut | |
| 700 | 1 | |a Pring, Ben |e VerfasserIn |4 aut | |
| 700 | 1 | |a Vertullo, Jon |e ErzählerIn |4 nrt | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781663730916/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-106608851 |
|---|---|
| _version_ | 1821494928362962944 |
| adam_text | |
| any_adam_object | |
| author | Frank, Malcolm Roehrig, Paul Pring, Ben |
| author2 | Vertullo, Jon |
| author2_role | nrt |
| author2_variant | j v jv |
| author_facet | Frank, Malcolm Roehrig, Paul Pring, Ben Vertullo, Jon |
| author_role | aut aut aut |
| author_sort | Frank, Malcolm |
| author_variant | m f mf p r pr b p bp |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)106608851 (DE-599)KEP106608851 (ORHE)9781663730916 |
| dewey-full | 658/.05 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658/.05 |
| dewey-search | 658/.05 |
| dewey-sort | 3658 15 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | [First edition]. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03250nam a22004932 4500</leader><controlfield tag="001">ZDB-30-ORH-106608851</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240902105241.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240902s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781663730916</subfield><subfield code="c">electronic audio bk.</subfield><subfield code="9">978-1-6637-3091-6</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1663730911</subfield><subfield code="c">electronic audio bk.</subfield><subfield code="9">1-6637-3091-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)106608851</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP106608851</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781663730916</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)106608851</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">658/.05</subfield><subfield code="2">23/eng/20240814</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Frank, Malcolm</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">What to do when machines do everything</subfield><subfield code="b">how to get ahead in a world of AI, algorithms, bots, and big data</subfield><subfield code="c">Malcolm Frank, Paul Roehrig, and Ben Pring</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">[First edition].</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Place of publication not identified]</subfield><subfield code="b">Ascent Audio</subfield><subfield code="c">2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 sound file (7 hr., 35 min.))</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Online resource; title from title details screen (O'Reilly, viewed August 14, 2024)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Drawing upon real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created. Written by a team of business and technology expert practitioners, this book provides a clear path to the future of your work. The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom; the AHEAD model outlines five strategic initiatives that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy, and innovation.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Automation</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Information technology</subfield><subfield code="x">Economic aspects</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Technological innovations</subfield><subfield code="x">Economic aspects</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Automatisation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Technologie de l'information ; Aspect économique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Innovations ; Aspect économique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">automation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Audiobooks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Livres audio</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Roehrig, Paul</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pring, Ben</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Vertullo, Jon</subfield><subfield code="e">ErzählerIn</subfield><subfield code="4">nrt</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781663730916/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-106608851 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-17T11:22:10Z |
| institution | BVB |
| isbn | 9781663730916 1663730911 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (1 sound file (7 hr., 35 min.)) |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Ascent Audio |
| record_format | marc |
| spelling | Frank, Malcolm VerfasserIn aut What to do when machines do everything how to get ahead in a world of AI, algorithms, bots, and big data Malcolm Frank, Paul Roehrig, and Ben Pring [First edition]. [Place of publication not identified] Ascent Audio 2024 1 Online-Ressource (1 sound file (7 hr., 35 min.)) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed August 14, 2024) What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Drawing upon real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created. Written by a team of business and technology expert practitioners, this book provides a clear path to the future of your work. The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom; the AHEAD model outlines five strategic initiatives that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy, and innovation. Automation Information technology Economic aspects Technological innovations Economic aspects Automatisation Technologie de l'information ; Aspect économique Innovations ; Aspect économique automation Audiobooks Livres audio Roehrig, Paul VerfasserIn aut Pring, Ben VerfasserIn aut Vertullo, Jon ErzählerIn nrt |
| spellingShingle | Frank, Malcolm Roehrig, Paul Pring, Ben What to do when machines do everything how to get ahead in a world of AI, algorithms, bots, and big data Automation Information technology Economic aspects Technological innovations Economic aspects Automatisation Technologie de l'information ; Aspect économique Innovations ; Aspect économique automation Audiobooks Livres audio |
| title | What to do when machines do everything how to get ahead in a world of AI, algorithms, bots, and big data |
| title_auth | What to do when machines do everything how to get ahead in a world of AI, algorithms, bots, and big data |
| title_exact_search | What to do when machines do everything how to get ahead in a world of AI, algorithms, bots, and big data |
| title_full | What to do when machines do everything how to get ahead in a world of AI, algorithms, bots, and big data Malcolm Frank, Paul Roehrig, and Ben Pring |
| title_fullStr | What to do when machines do everything how to get ahead in a world of AI, algorithms, bots, and big data Malcolm Frank, Paul Roehrig, and Ben Pring |
| title_full_unstemmed | What to do when machines do everything how to get ahead in a world of AI, algorithms, bots, and big data Malcolm Frank, Paul Roehrig, and Ben Pring |
| title_short | What to do when machines do everything |
| title_sort | what to do when machines do everything how to get ahead in a world of ai algorithms bots and big data |
| title_sub | how to get ahead in a world of AI, algorithms, bots, and big data |
| topic | Automation Information technology Economic aspects Technological innovations Economic aspects Automatisation Technologie de l'information ; Aspect économique Innovations ; Aspect économique automation Audiobooks Livres audio |
| topic_facet | Automation Information technology Economic aspects Technological innovations Economic aspects Automatisation Technologie de l'information ; Aspect économique Innovations ; Aspect économique automation Audiobooks Livres audio |
| work_keys_str_mv | AT frankmalcolm whattodowhenmachinesdoeverythinghowtogetaheadinaworldofaialgorithmsbotsandbigdata AT roehrigpaul whattodowhenmachinesdoeverythinghowtogetaheadinaworldofaialgorithmsbotsandbigdata AT pringben whattodowhenmachinesdoeverythinghowtogetaheadinaworldofaialgorithmsbotsandbigdata AT vertullojon whattodowhenmachinesdoeverythinghowtogetaheadinaworldofaialgorithmsbotsandbigdata |