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For those new to AI or AI in an enterprise setting you will find this book a systematic introduction to the field. You will get the necessary know-how to collaborate with and lead AI specialists and guide them to success. Time-pressured readers will benefit from self-contained sections explaining key topics and providing illustrations for fostering discussions in their next team, project, or management meeting. Reading this book helps you to better sell the business benefits from your AI initiatives and build your skills around scoping and delivering AI projects. You will be better able to work through critical aspects such as quality assurance, security, and ethics when building AI solutions in your organization.
Scope and manage AI projects in your organization
Set up quality assurance and testing for AI models and their integration in complex software solutions
Shape and manage an AI delivery organization, thereby mastering ML Ops
Understand and formulate requirements for the underlying data management infrastructure
Handle AI-related IT security, compliance, and risk topics and understand relevant AI ethics aspects
For those new to AI or AI in an enterprise setting you will find this book a systematic introduction to the field. You will get the necessary know-how to collaborate with and lead AI specialists and guide them to success. Time-pressured readers will benefit from self-contained sections explaining key topics and providing illustrations for fostering discussions in their next team, project, or management meeting. Reading this book helps you to better sell the business benefits from your AI initiatives and build your skills around scoping and delivering AI projects. You will be better able to work through critical aspects such as quality assurance, security, and ethics when building AI solutions in your organization.
Scope and manage AI projects in your organization
Set up quality assurance and testing for AI models and their integration in complex software solutions
Shape and manage an AI delivery organization, thereby mastering ML Ops
Understand and formulate requirements for the underlying data management infrastructure
Handle AI-related IT security, compliance, and risk topics and understand relevant AI ethics aspects
Klaus Haller is a senior IT architect and IT project manager with more than 15 years of experience in the IT industry. Originally from Germany, he has called Zurich, Switzerland home for many years. He currently works as a senior security architect for a global insurance company, focusing on protecting public cloud infrastructures and data management and AI environments. Klaus is passionate about designing complex solutions that fit into corporate application landscapes. He understands the interplay between technology, operations, engineering, and the business from his previous experience in various roles such as software engineer, project and product manager, business analyst, process engineer, and solutions architect. His expertise includes core banking systems and credit applications, databases, data analytics and artificial intelligence, data migration, public cloud, IT security, and IT risk management. He loves the outdoors and enjoys writing for magazines and online blogs and speaking at conferences and seminars.
Shows how to manage AI projects and run an AI delivery organization in an enterprise or large organization
Helps data scientists to advance in their career into management roles
Enables experienced managers and IT professionals to transfer their skills to AI initiatives
1. Why Organizations Invest in AI.- 2. Structuring and Delivering AI Projects.- 3. Quality Assurance in and for AI.- 4. Ethics, Regulations, and Explainability.- 5. Building an AI Delivery Organization.- 6. AI & Data Management Architectures.- 7. Securing & Protecting AI Environments.- 8. Looking Forward.
Erscheinungsjahr: | 2021 |
---|---|
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xix
214 S. 96 s/w Illustr. 214 p. 96 illus. |
ISBN-13: | 9781484278239 |
ISBN-10: | 1484278232 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Haller, Klaus |
Auflage: | 1st edition |
Hersteller: | APRESS |
Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
Maße: | 254 x 178 x 13 mm |
Von/Mit: | Klaus Haller |
Erscheinungsdatum: | 17.12.2021 |
Gewicht: | 0,453 kg |
Klaus Haller is a senior IT architect and IT project manager with more than 15 years of experience in the IT industry. Originally from Germany, he has called Zurich, Switzerland home for many years. He currently works as a senior security architect for a global insurance company, focusing on protecting public cloud infrastructures and data management and AI environments. Klaus is passionate about designing complex solutions that fit into corporate application landscapes. He understands the interplay between technology, operations, engineering, and the business from his previous experience in various roles such as software engineer, project and product manager, business analyst, process engineer, and solutions architect. His expertise includes core banking systems and credit applications, databases, data analytics and artificial intelligence, data migration, public cloud, IT security, and IT risk management. He loves the outdoors and enjoys writing for magazines and online blogs and speaking at conferences and seminars.
Shows how to manage AI projects and run an AI delivery organization in an enterprise or large organization
Helps data scientists to advance in their career into management roles
Enables experienced managers and IT professionals to transfer their skills to AI initiatives
1. Why Organizations Invest in AI.- 2. Structuring and Delivering AI Projects.- 3. Quality Assurance in and for AI.- 4. Ethics, Regulations, and Explainability.- 5. Building an AI Delivery Organization.- 6. AI & Data Management Architectures.- 7. Securing & Protecting AI Environments.- 8. Looking Forward.
Erscheinungsjahr: | 2021 |
---|---|
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xix
214 S. 96 s/w Illustr. 214 p. 96 illus. |
ISBN-13: | 9781484278239 |
ISBN-10: | 1484278232 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Haller, Klaus |
Auflage: | 1st edition |
Hersteller: | APRESS |
Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
Maße: | 254 x 178 x 13 mm |
Von/Mit: | Klaus Haller |
Erscheinungsdatum: | 17.12.2021 |
Gewicht: | 0,453 kg |