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This book examines the implementation of emerging technology projects in the service-based Indian IT sector. It shows how emerging technologies impact IT enabled Services (ITeS) organizations and examines the mobility prospects for engineers and students looking to enter IT.
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This book examines the implementation of emerging technology projects in the service-based Indian IT sector. It shows how emerging technologies impact IT enabled Services (ITeS) organizations and examines the mobility prospects for engineers and students looking to enter IT.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 120
- Erscheinungstermin: 30. März 2023
- Englisch
- Abmessung: 163mm x 241mm x 15mm
- Gewicht: 324g
- ISBN-13: 9781032349008
- ISBN-10: 103234900X
- Artikelnr.: 67400685
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 120
- Erscheinungstermin: 30. März 2023
- Englisch
- Abmessung: 163mm x 241mm x 15mm
- Gewicht: 324g
- ISBN-13: 9781032349008
- ISBN-10: 103234900X
- Artikelnr.: 67400685
Vinay Reddy Venumuddala completed his PhD from Public Policy area, at the Indian Institute of Management Bangalore (IIMB). His research interests lie at the intersection of Information Systems, Public Policy, and Electrical and Electronics Engineering. Presently, he is working as a post-doctoral fellow at the Centre for Internet of Ethical Things, International Institute of Information Technology, Bangalore. Rajalaxmi Kamath is an Associate Professor at the Center for Public Policy at the Indian Institute of Management Bangalore (IIMB). Her research is around issues facing the development of the Indian economy, post 2000 - microfinance and changing work conditions, with a very specific field oriented, grounds-up approach to understanding them.
1. Introduction 1. Indian IT industry and transition to emerging technologies 1.1 Transition to Emerging Technologies 1.2 Engineers and the Indian IT services industry 2. Research objectives and Key findings 3. Overview of Chapters 2. Research Context 1. Research Context - AI Research Lab in an IT Services organization 1.1 ITSO
s AI research lab 1.2 Work and workforce in the AI research lab 1.3 Work ethnography in the AI research lab 1.4 A Precursor study
ethnography in an engineering college 3. Emerging Technology Work in an Indian IT Services Organization 1 Emerging Technology solutions 1.1 Importance of a firm
s business context in digital transformation 1.2 Developing different emerging technology solutions 1.2.1 Internet of Things (IoT) 1.2.2 Blockchain 1.2.3 Artificial Intelligence (AI) 2 Delivering Software vs Emerging Technology solutions 2.1 Delivering software solutions 2.1.1 Principles guiding software development 2.1.2 Software development for Cloud 2.2 Comparison with Emerging Technologies 2.2.1 Maturity of development workflows 2.2.2 Work roles straddling between activities 3. Client-centric AI solutions by ITSO
s research lab 3.1 The ethnographer
s project in the AI research lab 3.2 Workflows negotiated for AI projects 3.2.1 Use-case identification 3.2.2 Proof of concept 3.2.3 Execution and deployment 3.2.4 Post deployment 3.3 Dominance of software engineering principles 4. Challenges in the transition towards emerging technologies 4.1 Servicing lower end in the client
s value chain 4.2 Difficulty in scaling-up the AI value chain 4.3 Unplanned WFH that exacerbated challenges 4. The Indian IT industry and Emerging Technologies: Mobility of Engineers 1 Role of Engineers in the Indian Industry 1.1 Engineers and Public Sector Employment 1.2 Demand from the IT industry and Mushrooming of Private Engineering Colleges 1.3 Rising demand for emerging technology workforce 2 AI research lab
work roles in an AI project 2.1 Business analysts
developing high-level frameworks 2.2 AI specific roles
less of use-case-centric productionizing 2.3 Software roles - integration and deployment 2.4 Data Scientists
building compatible workflows 3 Mobility prospects of beginner roles 3.1 Data engineers and their mobility pathways 3.1.1 Data sciences and business understanding 3.1.2 Primacy of programming skills 3.2 Cloud/software-engineers and their mobility pathways 3.2.1 Client-independent standard work requirements 3.3 Mobility challenges of non-IT engineers
the IT and non-IT divide 4 IT vs non-IT divide
manifesting in the engineering colleges 4.1 Lack of academic autonomy and rigid disciplinary boundaries 4.2 A dominant influence of IT industry for student placements 4.3 Students from non-IT disciplines and their negotiated flexibility towards IT 4.4 Students from non-IT disciplines and Emerging technology pursuits 5. Scope for substantive engagement of non-IT engineers in the IT industry 5. Discussion 1 A summary of our findings 2 Relook at client-vendor relationships in the Indian IT sector 2.1 Influence of clients on the nature of emerging technology work 2.2 Negotiating factors for a newly evolving client-vendor relationship 3 Implications of this study to the Indian IT industry and Policy 3.1 Indiäs IT-led innovations and the road ahead 3.2 Can the Indian IT services industry unleash its abundant domain expertise? 3.3 Implications to industrial and educational policy 4 Conclusion and Future Work 6. Theoretical Appendix 1 Critical Realism: The Philosophical Basis 1.1 Principles of Critical Realism embedded in our work ethnography 1.2 Work Ethnography 2 Critical Realism and Ethnography findings 2.1 Separation of Structure and Agency 2.2 Retroducing the hierarchical domains of the Real, Actual and Empirical 2.3 Some reflexions on our work ethnography 7. Further Readings
s AI research lab 1.2 Work and workforce in the AI research lab 1.3 Work ethnography in the AI research lab 1.4 A Precursor study
ethnography in an engineering college 3. Emerging Technology Work in an Indian IT Services Organization 1 Emerging Technology solutions 1.1 Importance of a firm
s business context in digital transformation 1.2 Developing different emerging technology solutions 1.2.1 Internet of Things (IoT) 1.2.2 Blockchain 1.2.3 Artificial Intelligence (AI) 2 Delivering Software vs Emerging Technology solutions 2.1 Delivering software solutions 2.1.1 Principles guiding software development 2.1.2 Software development for Cloud 2.2 Comparison with Emerging Technologies 2.2.1 Maturity of development workflows 2.2.2 Work roles straddling between activities 3. Client-centric AI solutions by ITSO
s research lab 3.1 The ethnographer
s project in the AI research lab 3.2 Workflows negotiated for AI projects 3.2.1 Use-case identification 3.2.2 Proof of concept 3.2.3 Execution and deployment 3.2.4 Post deployment 3.3 Dominance of software engineering principles 4. Challenges in the transition towards emerging technologies 4.1 Servicing lower end in the client
s value chain 4.2 Difficulty in scaling-up the AI value chain 4.3 Unplanned WFH that exacerbated challenges 4. The Indian IT industry and Emerging Technologies: Mobility of Engineers 1 Role of Engineers in the Indian Industry 1.1 Engineers and Public Sector Employment 1.2 Demand from the IT industry and Mushrooming of Private Engineering Colleges 1.3 Rising demand for emerging technology workforce 2 AI research lab
work roles in an AI project 2.1 Business analysts
developing high-level frameworks 2.2 AI specific roles
less of use-case-centric productionizing 2.3 Software roles - integration and deployment 2.4 Data Scientists
building compatible workflows 3 Mobility prospects of beginner roles 3.1 Data engineers and their mobility pathways 3.1.1 Data sciences and business understanding 3.1.2 Primacy of programming skills 3.2 Cloud/software-engineers and their mobility pathways 3.2.1 Client-independent standard work requirements 3.3 Mobility challenges of non-IT engineers
the IT and non-IT divide 4 IT vs non-IT divide
manifesting in the engineering colleges 4.1 Lack of academic autonomy and rigid disciplinary boundaries 4.2 A dominant influence of IT industry for student placements 4.3 Students from non-IT disciplines and their negotiated flexibility towards IT 4.4 Students from non-IT disciplines and Emerging technology pursuits 5. Scope for substantive engagement of non-IT engineers in the IT industry 5. Discussion 1 A summary of our findings 2 Relook at client-vendor relationships in the Indian IT sector 2.1 Influence of clients on the nature of emerging technology work 2.2 Negotiating factors for a newly evolving client-vendor relationship 3 Implications of this study to the Indian IT industry and Policy 3.1 Indiäs IT-led innovations and the road ahead 3.2 Can the Indian IT services industry unleash its abundant domain expertise? 3.3 Implications to industrial and educational policy 4 Conclusion and Future Work 6. Theoretical Appendix 1 Critical Realism: The Philosophical Basis 1.1 Principles of Critical Realism embedded in our work ethnography 1.2 Work Ethnography 2 Critical Realism and Ethnography findings 2.1 Separation of Structure and Agency 2.2 Retroducing the hierarchical domains of the Real, Actual and Empirical 2.3 Some reflexions on our work ethnography 7. Further Readings
1. Introduction 1. Indian IT industry and transition to emerging technologies 1.1 Transition to Emerging Technologies 1.2 Engineers and the Indian IT services industry 2. Research objectives and Key findings 3. Overview of Chapters 2. Research Context 1. Research Context - AI Research Lab in an IT Services organization 1.1 ITSO
s AI research lab 1.2 Work and workforce in the AI research lab 1.3 Work ethnography in the AI research lab 1.4 A Precursor study
ethnography in an engineering college 3. Emerging Technology Work in an Indian IT Services Organization 1 Emerging Technology solutions 1.1 Importance of a firm
s business context in digital transformation 1.2 Developing different emerging technology solutions 1.2.1 Internet of Things (IoT) 1.2.2 Blockchain 1.2.3 Artificial Intelligence (AI) 2 Delivering Software vs Emerging Technology solutions 2.1 Delivering software solutions 2.1.1 Principles guiding software development 2.1.2 Software development for Cloud 2.2 Comparison with Emerging Technologies 2.2.1 Maturity of development workflows 2.2.2 Work roles straddling between activities 3. Client-centric AI solutions by ITSO
s research lab 3.1 The ethnographer
s project in the AI research lab 3.2 Workflows negotiated for AI projects 3.2.1 Use-case identification 3.2.2 Proof of concept 3.2.3 Execution and deployment 3.2.4 Post deployment 3.3 Dominance of software engineering principles 4. Challenges in the transition towards emerging technologies 4.1 Servicing lower end in the client
s value chain 4.2 Difficulty in scaling-up the AI value chain 4.3 Unplanned WFH that exacerbated challenges 4. The Indian IT industry and Emerging Technologies: Mobility of Engineers 1 Role of Engineers in the Indian Industry 1.1 Engineers and Public Sector Employment 1.2 Demand from the IT industry and Mushrooming of Private Engineering Colleges 1.3 Rising demand for emerging technology workforce 2 AI research lab
work roles in an AI project 2.1 Business analysts
developing high-level frameworks 2.2 AI specific roles
less of use-case-centric productionizing 2.3 Software roles - integration and deployment 2.4 Data Scientists
building compatible workflows 3 Mobility prospects of beginner roles 3.1 Data engineers and their mobility pathways 3.1.1 Data sciences and business understanding 3.1.2 Primacy of programming skills 3.2 Cloud/software-engineers and their mobility pathways 3.2.1 Client-independent standard work requirements 3.3 Mobility challenges of non-IT engineers
the IT and non-IT divide 4 IT vs non-IT divide
manifesting in the engineering colleges 4.1 Lack of academic autonomy and rigid disciplinary boundaries 4.2 A dominant influence of IT industry for student placements 4.3 Students from non-IT disciplines and their negotiated flexibility towards IT 4.4 Students from non-IT disciplines and Emerging technology pursuits 5. Scope for substantive engagement of non-IT engineers in the IT industry 5. Discussion 1 A summary of our findings 2 Relook at client-vendor relationships in the Indian IT sector 2.1 Influence of clients on the nature of emerging technology work 2.2 Negotiating factors for a newly evolving client-vendor relationship 3 Implications of this study to the Indian IT industry and Policy 3.1 Indiäs IT-led innovations and the road ahead 3.2 Can the Indian IT services industry unleash its abundant domain expertise? 3.3 Implications to industrial and educational policy 4 Conclusion and Future Work 6. Theoretical Appendix 1 Critical Realism: The Philosophical Basis 1.1 Principles of Critical Realism embedded in our work ethnography 1.2 Work Ethnography 2 Critical Realism and Ethnography findings 2.1 Separation of Structure and Agency 2.2 Retroducing the hierarchical domains of the Real, Actual and Empirical 2.3 Some reflexions on our work ethnography 7. Further Readings
s AI research lab 1.2 Work and workforce in the AI research lab 1.3 Work ethnography in the AI research lab 1.4 A Precursor study
ethnography in an engineering college 3. Emerging Technology Work in an Indian IT Services Organization 1 Emerging Technology solutions 1.1 Importance of a firm
s business context in digital transformation 1.2 Developing different emerging technology solutions 1.2.1 Internet of Things (IoT) 1.2.2 Blockchain 1.2.3 Artificial Intelligence (AI) 2 Delivering Software vs Emerging Technology solutions 2.1 Delivering software solutions 2.1.1 Principles guiding software development 2.1.2 Software development for Cloud 2.2 Comparison with Emerging Technologies 2.2.1 Maturity of development workflows 2.2.2 Work roles straddling between activities 3. Client-centric AI solutions by ITSO
s research lab 3.1 The ethnographer
s project in the AI research lab 3.2 Workflows negotiated for AI projects 3.2.1 Use-case identification 3.2.2 Proof of concept 3.2.3 Execution and deployment 3.2.4 Post deployment 3.3 Dominance of software engineering principles 4. Challenges in the transition towards emerging technologies 4.1 Servicing lower end in the client
s value chain 4.2 Difficulty in scaling-up the AI value chain 4.3 Unplanned WFH that exacerbated challenges 4. The Indian IT industry and Emerging Technologies: Mobility of Engineers 1 Role of Engineers in the Indian Industry 1.1 Engineers and Public Sector Employment 1.2 Demand from the IT industry and Mushrooming of Private Engineering Colleges 1.3 Rising demand for emerging technology workforce 2 AI research lab
work roles in an AI project 2.1 Business analysts
developing high-level frameworks 2.2 AI specific roles
less of use-case-centric productionizing 2.3 Software roles - integration and deployment 2.4 Data Scientists
building compatible workflows 3 Mobility prospects of beginner roles 3.1 Data engineers and their mobility pathways 3.1.1 Data sciences and business understanding 3.1.2 Primacy of programming skills 3.2 Cloud/software-engineers and their mobility pathways 3.2.1 Client-independent standard work requirements 3.3 Mobility challenges of non-IT engineers
the IT and non-IT divide 4 IT vs non-IT divide
manifesting in the engineering colleges 4.1 Lack of academic autonomy and rigid disciplinary boundaries 4.2 A dominant influence of IT industry for student placements 4.3 Students from non-IT disciplines and their negotiated flexibility towards IT 4.4 Students from non-IT disciplines and Emerging technology pursuits 5. Scope for substantive engagement of non-IT engineers in the IT industry 5. Discussion 1 A summary of our findings 2 Relook at client-vendor relationships in the Indian IT sector 2.1 Influence of clients on the nature of emerging technology work 2.2 Negotiating factors for a newly evolving client-vendor relationship 3 Implications of this study to the Indian IT industry and Policy 3.1 Indiäs IT-led innovations and the road ahead 3.2 Can the Indian IT services industry unleash its abundant domain expertise? 3.3 Implications to industrial and educational policy 4 Conclusion and Future Work 6. Theoretical Appendix 1 Critical Realism: The Philosophical Basis 1.1 Principles of Critical Realism embedded in our work ethnography 1.2 Work Ethnography 2 Critical Realism and Ethnography findings 2.1 Separation of Structure and Agency 2.2 Retroducing the hierarchical domains of the Real, Actual and Empirical 2.3 Some reflexions on our work ethnography 7. Further Readings