AI Development

How Tech Leaders Can Build and Deploy Useful AI
1. Auflage 2027
ISBN: 978-1-3986-1760-5
Verlag: Kogan Page

Buch, Englisch, 304 Seiten, Format (B × H): 156 mm x 234 mm

Implement trusted AI systems that deliver measurable business value while managing risk, compliance and long-term performance. AI Development by Eva-Marie Muller-Stuler is a practical guide for data, product and technology leaders responsible for turning AI ambition into real-world outcomes. Covering the complete AI lifecycle from strategy and team design to deployment and governance, it provides the frameworks and technical foundations needed to develop AI products that are effective, responsible and aligned with business goals. Designed for leaders implementing AI at scale, this book helps you move beyond experimentation and hype to build AI solutions that solve genuine business challenges while meeting regulatory and operational requirements. You will learn how to: - Define AI use cases that address real business needs - Build teams, processes and governance for AI delivery - Develop, test and deploy AI with confidence - Manage risk, compliance, security and transparency - Monitor performance throughout the AI lifecycle AI Development combines responsible AI principles with the practical disciplines required for successful implementation. It explores areas such as MLOps, ModelOps, AIOps, DevSecOps and cybersecurity, giving you a complete framework for delivering AI that creates lasting impact. Whether you are launching your first AI initiative or scaling enterprise-wide adoption, this book provides the tools, processes and leadership guidance needed to develop trusted AI systems that deliver results. Themes include: AI development, AI governance, AI security, MLOps, ModelOps, risk management, DevSecOps, data architecture, AI strategy

Autoren/Hrsg.

Muller-Stuler, Eva-Marie

Fachgebiete

• Geisteswissenschaften Design Produktdesign, Industriedesign
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmensethik

Inhaltsverzeichnis

• • Chapter - 01: Introduction- What is AI product development;
  • Chapter - 02: Overview of ethical and responsible AI requirements;
  • Chapter - 03: How to assess the problem;
  • Chapter - 04: Risk management and mitigation;
  • Chapter - 05: Data management;
  • Chapter - 06: Team structure and processes;
  • Chapter - 07: Development for deployment;
  • Chapter - 08: Monitoring;
  • Chapter - 09: AI governance and compliance;
  • Chapter - 10: Maintaining for the future

Über Autor(innen)

Muller-Stuler, Eva-Marie
<b>Eva-Marie Muller-Stuler</b> has been recognized as one of the world's best data scientists and as one of the top 10 most influential women in technology. She was previously Partner and Leader of the Data & AI practice for EY MENA, the CTO for AI at IBM Middle East & Africa and Chief Data Scientist at KPMG London. She is a highly regarded technical AI thought leader and conference speaker who brings real-world production experience grounded in deep technical expertise and board-level credibility. She is based in Dubai, UAE.

Eva-Marie Muller-Stuler has been recognized as one of the world's best data scientists and as one of the top 10 most influential women in technology. She was previously Partner and Leader of the Data & AI practice for EY MENA, the CTO for AI at IBM Middle East & Africa and Chief Data Scientist at KPMG London. She is a highly regarded technical AI thought leader and conference speaker who brings real-world production experience grounded in deep technical expertise and board-level credibility. She is based in Dubai, UAE.