AI Driven
Advantage Media Group (Verlag)
978-1-64225-378-8 (ISBN)
Through five real-world case studies, Ruzicka and Shilo demystify AI in clear prose tailored to executives overseeing complex organizations. The examples range from adding predictive analytics to real-time structured data streams to probabilistic engineering on top of unstructured data to the correct use of generative AI on an enterprise-scale. While underscoring AI’s competitive imperative, the authors detail proven methodologies to assess organizational readiness, drive cross-functional execution, and balance innovation velocity with economic viability.
Far from an abstract technology treatise, AI Driven equips business and IT leaders alike with the practical wisdom to spearhead an AI paradigm shift. The fundamental capabilities covered include future-proofing architecture to enable algorithmic business models, launching minimum viable predictions to validate AI value quickly, and leveraging engineering best practices to accelerate AI adoption enterprise-wide. While debunking the myth that AI is magic, Ruzicka and Shilo document how deliberate vision, relentless experimentation and technical recalibration can transform enterprises into category-killing disruptors rather than victims.
Master the new digital playbook or accept irrelevance. For executives struggling to translate AI’s promise into practice, AI Driven provides the blueprint. Harness its competitive power before your organization goes extinct.
WOLF RUZICKA started his career in the late 1990’s, and is now a sought-after technology veteran with deep expertise guiding enterprise transformations and software innovations. Wolf is a seasoned executive, serial entrepreneur, big data expert, and technology thought leader. He serves on dozens of boards as a director, advisor, and mentor to CXOs, resulting in several successful exits. VICTOR SHILO is a technologist, AI evangelist, and enterprise software expert. Victor started his career as a developer in 2003 and now as a CTO leads a global team of 200+ engineers. In this capacity, he is often asked by entrepreneurs, corporate executives and fellow technologists to help solve complex business problems and scale innovation efforts. Victor is a technical advisor to multiple AI startups, a Stanford GSB alumni, and occasional contributor for various publications.
Introduction
Digital Transformation Is Inescapable
Case Study One: Global News Outlet
Structured Data for AI
Case Study Two: Public Transit Agency
AI-First Mindset and DataOps Methodology
Case Study Three: Multinational Financial Company
Unstrutured Data for AI
Case Study Four: Innovative AI Patent Clerk
Generative AI
Case Study Five: Revolutionary
AI-Driven Curriculum Developer
Conclusion
Acknowledgements
Erscheinungsdatum | 07.05.2024 |
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Verlagsort | Charleston |
Sprache | englisch |
Maße | 152 x 229 mm |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik | |
Wirtschaft ► Betriebswirtschaft / Management ► Wirtschaftsinformatik | |
ISBN-10 | 1-64225-378-2 / 1642253782 |
ISBN-13 | 978-1-64225-378-8 / 9781642253788 |
Zustand | Neuware |
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