The AI and Data Revolution - De Saulles, Martin; - Prospero Internetes Könyváruház

 
A termék adatai:

ISBN13:9781783307098
ISBN10:1783307099
Kötéstípus:Keménykötés
Terjedelem: oldal
Méret:238x159 mm
Nyelv:angol
700
Témakör:

The AI and Data Revolution

Understanding the New Data Landscape
 
Kiadó: Facet Publishing
Megjelenés dátuma:
 
Normál ár:

Kiadói listaár:
GBP 100.00
Becsült forint ár:
52 500 Ft (50 000 Ft + 5% áfa)
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Az Ön ára:

47 250 (45 000 Ft + 5% áfa )
Kedvezmény(ek): 10% (kb. 5 250 Ft)
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  példányt

 
Rövid leírás:

Grounded in theory, this book uses real-life case studies to illustrate how the collection, manipulation and application of data are reshaping businesses. It explains what this means for your organisation and strategies for staying ahead of this data and AI revolution.

Hosszú leírás:

The rise of the internet since the mid-1990s has accelerated the creation, distribution and use of data in all its forms. New industries and some of the world?s largest businesses have been built on the back of this first wave of data-driven innovation. How we access and share information both professionally and socially has undergone a transformation.

This book outlines the key changes over the last 30 years that have led to this moment, what is changing in terms of how data is being used to create new products and services and what this means for how organisations can adapt to the emerging data-driven and AI landscape.

Chapters explore:

  • How data is used to create value through new products and services
  • How the digitisation of data has transformed the dynamics of competition and led to new types of business models
  • How a new generation of data-driven AI services could lead to yet more changes in how we work and how entire industries are structured
Tartalomjegyzék:

Introduction

Chapter 1: How Did We Get Here?

Chapter 2: The Current AI and Data Landscape

Chapter 3: The Emerging Data-Driven AI Revolution

Chapter 4: Ethical, Policy and Legal Issues of Data-Driven AI

Chapter 5: Looking Ahead

Chapter 6: Pulling the Threads Together

Conclusion

Index