Deploying AI in the enterprise: IT approaches for design, DevOps, governance, change management, blockchain, and quantum computing
Your company has committed to AI. Congratulations, now what? This practical book offers a holistic plan for implementing AI from the perspective of IT and IT operations in the enterprise. You will learn about AI's capabilities, potential, limitations, and challenges. This book teaches you about...
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Weitere beteiligte Personen: | |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Berkeley, California]
Apress
[2020]
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781484262061/?ar |
| Zusammenfassung: | Your company has committed to AI. Congratulations, now what? This practical book offers a holistic plan for implementing AI from the perspective of IT and IT operations in the enterprise. You will learn about AI's capabilities, potential, limitations, and challenges. This book teaches you about the role of AI in the context of well-established areas, such as design thinking and DevOps, governance and change management, blockchain, and quantum computing, and discusses the convergence of AI in these key areas of the enterprise. Deploying AI in the Enterprise provides guidance and methods to effectively deploy and operationalize sustainable AI solutions. You will learn about deployment challenges, such as AI operationalization issues and roadblocks when it comes to turning insight into actionable predictions. You also will learn how to recognize the key components of AI information architecture, and its role in enabling successful and sustainable AI deployments. And you will come away with an understanding of how to effectively leverage AI to augment usage of core information in Master Data Management (MDM) solutions. What You Will Learn Understand the most important AI concepts, including machine learning and deep learning Follow best practices and methods to successfully deploy and operationalize AI solutions Identify critical components of AI information architecture and the importance of having a plan Integrate AI into existing initiatives within an organization Recognize current limitations of AI, and how this could impact your business Build awareness about important and timely AI research Adjust your mindset to consider AI from a holistic standpoint Get acquainted with AI opportunities that exist in various industries Who This Book Is For IT pros, data scientists, and architects who need to address deployment and operational challenges related to AI and need a comprehensive overview on how AI impacts other business critical areas. It is not an introduction, but is for the reader who is looking for examples on how to leverage data to derive actionable insight and predictions, and needs to understand and factor in the current risks and limitations of AI and what it means in an industry-relevant context. |
| Beschreibung: | Includes bibliographical references and index. - Online resource; title from PDF title page (SpringerLink, viewed November 18, 2020) |
| Umfang: | 1 Online-Ressource (xxvi, 331 Seiten) illustrations |
| ISBN: | 9781484262061 1484262069 |
Internformat
MARC
| LEADER | 00000cam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-058893091 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121148.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 201021s2020 xx |||||o 00| ||eng c | ||
| 020 | |a 9781484262061 |c electronic bk. |9 978-1-4842-6206-1 | ||
| 020 | |a 1484262069 |c electronic bk. |9 1-4842-6206-9 | ||
| 035 | |a (DE-627-1)058893091 | ||
| 035 | |a (DE-599)KEP058893091 | ||
| 035 | |a (ORHE)9781484262061 | ||
| 035 | |a (DE-627-1)058893091 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 006.3 |2 23 | |
| 100 | 1 | |a Hechler, Eberhard |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Deploying AI in the enterprise |b IT approaches for design, DevOps, governance, change management, blockchain, and quantum computing |c Eberhard Hechler, Martin Oberhofer, Thomas Schaeck ; foreword by Srinivas Thummalapalli |
| 264 | 1 | |a [Berkeley, California] |b Apress |c [2020] | |
| 264 | 4 | |c ©2020 | |
| 300 | |a 1 Online-Ressource (xxvi, 331 Seiten) |b illustrations | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index. - Online resource; title from PDF title page (SpringerLink, viewed November 18, 2020) | ||
| 520 | |a Your company has committed to AI. Congratulations, now what? This practical book offers a holistic plan for implementing AI from the perspective of IT and IT operations in the enterprise. You will learn about AI's capabilities, potential, limitations, and challenges. This book teaches you about the role of AI in the context of well-established areas, such as design thinking and DevOps, governance and change management, blockchain, and quantum computing, and discusses the convergence of AI in these key areas of the enterprise. Deploying AI in the Enterprise provides guidance and methods to effectively deploy and operationalize sustainable AI solutions. You will learn about deployment challenges, such as AI operationalization issues and roadblocks when it comes to turning insight into actionable predictions. You also will learn how to recognize the key components of AI information architecture, and its role in enabling successful and sustainable AI deployments. And you will come away with an understanding of how to effectively leverage AI to augment usage of core information in Master Data Management (MDM) solutions. What You Will Learn Understand the most important AI concepts, including machine learning and deep learning Follow best practices and methods to successfully deploy and operationalize AI solutions Identify critical components of AI information architecture and the importance of having a plan Integrate AI into existing initiatives within an organization Recognize current limitations of AI, and how this could impact your business Build awareness about important and timely AI research Adjust your mindset to consider AI from a holistic standpoint Get acquainted with AI opportunities that exist in various industries Who This Book Is For IT pros, data scientists, and architects who need to address deployment and operational challenges related to AI and need a comprehensive overview on how AI impacts other business critical areas. It is not an introduction, but is for the reader who is looking for examples on how to leverage data to derive actionable insight and predictions, and needs to understand and factor in the current risks and limitations of AI and what it means in an industry-relevant context. | ||
| 650 | 0 | |a Artificial intelligence | |
| 650 | 0 | |a Machine learning | |
| 650 | 0 | |a Computer software | |
| 650 | 0 | |a Quantum computers | |
| 650 | 2 | |a Artificial Intelligence | |
| 650 | 2 | |a Software | |
| 650 | 2 | |a Machine Learning | |
| 650 | 4 | |a Intelligence artificielle | |
| 650 | 4 | |a Apprentissage automatique | |
| 650 | 4 | |a Logiciels | |
| 650 | 4 | |a Ordinateurs quantiques | |
| 650 | 4 | |a artificial intelligence | |
| 650 | 4 | |a software | |
| 650 | 4 | |a Quantum computers | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Computer software | |
| 650 | 4 | |a Artificial intelligence | |
| 700 | 1 | |a Oberhofer, Martin |e VerfasserIn |4 aut | |
| 700 | 1 | |a Schaeck, Thomas |e VerfasserIn |4 aut | |
| 700 | 1 | |a Thummalapalli, Srinivas |e MitwirkendeR |4 ctb | |
| 776 | 1 | |z 1484262050 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 1484262050 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781484262061/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 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-058893091 |
|---|---|
| _version_ | 1821494837525872640 |
| adam_text | |
| any_adam_object | |
| author | Hechler, Eberhard Oberhofer, Martin Schaeck, Thomas |
| author2 | Thummalapalli, Srinivas |
| author2_role | ctb |
| author2_variant | s t st |
| author_facet | Hechler, Eberhard Oberhofer, Martin Schaeck, Thomas Thummalapalli, Srinivas |
| author_role | aut aut aut |
| author_sort | Hechler, Eberhard |
| author_variant | e h eh m o mo t s ts |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)058893091 (DE-599)KEP058893091 (ORHE)9781484262061 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04541cam a22006252 4500</leader><controlfield tag="001">ZDB-30-ORH-058893091</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121148.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201021s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484262061</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-4842-6206-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1484262069</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-4842-6206-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)058893091</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP058893091</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781484262061</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)058893091</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">006.3</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Hechler, Eberhard</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Deploying AI in the enterprise</subfield><subfield code="b">IT approaches for design, DevOps, governance, change management, blockchain, and quantum computing</subfield><subfield code="c">Eberhard Hechler, Martin Oberhofer, Thomas Schaeck ; foreword by Srinivas Thummalapalli</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Berkeley, California]</subfield><subfield code="b">Apress</subfield><subfield code="c">[2020]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xxvi, 331 Seiten)</subfield><subfield code="b">illustrations</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">Includes bibliographical references and index. - Online resource; title from PDF title page (SpringerLink, viewed November 18, 2020)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Your company has committed to AI. Congratulations, now what? This practical book offers a holistic plan for implementing AI from the perspective of IT and IT operations in the enterprise. You will learn about AI's capabilities, potential, limitations, and challenges. This book teaches you about the role of AI in the context of well-established areas, such as design thinking and DevOps, governance and change management, blockchain, and quantum computing, and discusses the convergence of AI in these key areas of the enterprise. Deploying AI in the Enterprise provides guidance and methods to effectively deploy and operationalize sustainable AI solutions. You will learn about deployment challenges, such as AI operationalization issues and roadblocks when it comes to turning insight into actionable predictions. You also will learn how to recognize the key components of AI information architecture, and its role in enabling successful and sustainable AI deployments. And you will come away with an understanding of how to effectively leverage AI to augment usage of core information in Master Data Management (MDM) solutions. What You Will Learn Understand the most important AI concepts, including machine learning and deep learning Follow best practices and methods to successfully deploy and operationalize AI solutions Identify critical components of AI information architecture and the importance of having a plan Integrate AI into existing initiatives within an organization Recognize current limitations of AI, and how this could impact your business Build awareness about important and timely AI research Adjust your mindset to consider AI from a holistic standpoint Get acquainted with AI opportunities that exist in various industries Who This Book Is For IT pros, data scientists, and architects who need to address deployment and operational challenges related to AI and need a comprehensive overview on how AI impacts other business critical areas. It is not an introduction, but is for the reader who is looking for examples on how to leverage data to derive actionable insight and predictions, and needs to understand and factor in the current risks and limitations of AI and what it means in an industry-relevant context.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computer software</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Quantum computers</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Software</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Machine Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligence artificielle</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Apprentissage automatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Logiciels</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ordinateurs quantiques</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">software</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Quantum computers</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer software</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Oberhofer, Martin</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schaeck, Thomas</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Thummalapalli, Srinivas</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">1484262050</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">1484262050</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/-/9781484262061/?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="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-058893091 |
| illustrated | Illustrated |
| indexdate | 2025-01-17T11:20:43Z |
| institution | BVB |
| isbn | 9781484262061 1484262069 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (xxvi, 331 Seiten) illustrations |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Apress |
| record_format | marc |
| spelling | Hechler, Eberhard VerfasserIn aut Deploying AI in the enterprise IT approaches for design, DevOps, governance, change management, blockchain, and quantum computing Eberhard Hechler, Martin Oberhofer, Thomas Schaeck ; foreword by Srinivas Thummalapalli [Berkeley, California] Apress [2020] ©2020 1 Online-Ressource (xxvi, 331 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from PDF title page (SpringerLink, viewed November 18, 2020) Your company has committed to AI. Congratulations, now what? This practical book offers a holistic plan for implementing AI from the perspective of IT and IT operations in the enterprise. You will learn about AI's capabilities, potential, limitations, and challenges. This book teaches you about the role of AI in the context of well-established areas, such as design thinking and DevOps, governance and change management, blockchain, and quantum computing, and discusses the convergence of AI in these key areas of the enterprise. Deploying AI in the Enterprise provides guidance and methods to effectively deploy and operationalize sustainable AI solutions. You will learn about deployment challenges, such as AI operationalization issues and roadblocks when it comes to turning insight into actionable predictions. You also will learn how to recognize the key components of AI information architecture, and its role in enabling successful and sustainable AI deployments. And you will come away with an understanding of how to effectively leverage AI to augment usage of core information in Master Data Management (MDM) solutions. What You Will Learn Understand the most important AI concepts, including machine learning and deep learning Follow best practices and methods to successfully deploy and operationalize AI solutions Identify critical components of AI information architecture and the importance of having a plan Integrate AI into existing initiatives within an organization Recognize current limitations of AI, and how this could impact your business Build awareness about important and timely AI research Adjust your mindset to consider AI from a holistic standpoint Get acquainted with AI opportunities that exist in various industries Who This Book Is For IT pros, data scientists, and architects who need to address deployment and operational challenges related to AI and need a comprehensive overview on how AI impacts other business critical areas. It is not an introduction, but is for the reader who is looking for examples on how to leverage data to derive actionable insight and predictions, and needs to understand and factor in the current risks and limitations of AI and what it means in an industry-relevant context. Artificial intelligence Machine learning Computer software Quantum computers Artificial Intelligence Software Machine Learning Intelligence artificielle Apprentissage automatique Logiciels Ordinateurs quantiques artificial intelligence software Oberhofer, Martin VerfasserIn aut Schaeck, Thomas VerfasserIn aut Thummalapalli, Srinivas MitwirkendeR ctb 1484262050 Erscheint auch als Druck-Ausgabe 1484262050 |
| spellingShingle | Hechler, Eberhard Oberhofer, Martin Schaeck, Thomas Deploying AI in the enterprise IT approaches for design, DevOps, governance, change management, blockchain, and quantum computing Artificial intelligence Machine learning Computer software Quantum computers Artificial Intelligence Software Machine Learning Intelligence artificielle Apprentissage automatique Logiciels Ordinateurs quantiques artificial intelligence software |
| title | Deploying AI in the enterprise IT approaches for design, DevOps, governance, change management, blockchain, and quantum computing |
| title_auth | Deploying AI in the enterprise IT approaches for design, DevOps, governance, change management, blockchain, and quantum computing |
| title_exact_search | Deploying AI in the enterprise IT approaches for design, DevOps, governance, change management, blockchain, and quantum computing |
| title_full | Deploying AI in the enterprise IT approaches for design, DevOps, governance, change management, blockchain, and quantum computing Eberhard Hechler, Martin Oberhofer, Thomas Schaeck ; foreword by Srinivas Thummalapalli |
| title_fullStr | Deploying AI in the enterprise IT approaches for design, DevOps, governance, change management, blockchain, and quantum computing Eberhard Hechler, Martin Oberhofer, Thomas Schaeck ; foreword by Srinivas Thummalapalli |
| title_full_unstemmed | Deploying AI in the enterprise IT approaches for design, DevOps, governance, change management, blockchain, and quantum computing Eberhard Hechler, Martin Oberhofer, Thomas Schaeck ; foreword by Srinivas Thummalapalli |
| title_short | Deploying AI in the enterprise |
| title_sort | deploying ai in the enterprise it approaches for design devops governance change management blockchain and quantum computing |
| title_sub | IT approaches for design, DevOps, governance, change management, blockchain, and quantum computing |
| topic | Artificial intelligence Machine learning Computer software Quantum computers Artificial Intelligence Software Machine Learning Intelligence artificielle Apprentissage automatique Logiciels Ordinateurs quantiques artificial intelligence software |
| topic_facet | Artificial intelligence Machine learning Computer software Quantum computers Artificial Intelligence Software Machine Learning Intelligence artificielle Apprentissage automatique Logiciels Ordinateurs quantiques artificial intelligence software |
| work_keys_str_mv | AT hechlereberhard deployingaiintheenterpriseitapproachesfordesigndevopsgovernancechangemanagementblockchainandquantumcomputing AT oberhofermartin deployingaiintheenterpriseitapproachesfordesigndevopsgovernancechangemanagementblockchainandquantumcomputing AT schaeckthomas deployingaiintheenterpriseitapproachesfordesigndevopsgovernancechangemanagementblockchainandquantumcomputing AT thummalapallisrinivas deployingaiintheenterpriseitapproachesfordesigndevopsgovernancechangemanagementblockchainandquantumcomputing |