Grow Your Business with AI
Apress (Verlag)
978-1-4842-9668-4 (ISBN)
Divided into four main parts (First Principles, The Why, The What, The How), you'll review case studies and examples from companies that have successfully implemented AI. Part 1 provides a comprehensive overview of the First Principles approach and its basic conventions. Part 2 provides an in-depth look at the current state of AI and why it is increasingly important to businesses of all sizes. Part 3 delves into the key concepts and technologies of AI. Part 4 shares practical guidance and actionable steps for businesses looking to implement AI.
Grow Your Business with AI is a must-read for anyone looking to understand and harness the power of AI for business growth and to stay ahead of the curve.
What You'll Learn
- Review the key concepts and technologies of AI, including machine learning, natural language processing, and computer vision
- Apply the benefits of AI, including increased efficiency, improved decision-making, and new revenue streams in different industries
- Integrate AI into existing systems and processes.
Who This Book Is For
Entrepreneurs, business leaders, and professionals looking to leverage the power of AI to drive growth and success for their organizations.
Francisco Javier Campos Zabala is a technology leader who has delivered innovative tech transformations within marketing adtech, telco and financial services, scaling high performing teams in technology and data science with a product-centered mindset and agile best practices in large corporations such as Accenture and WPP. He is a regular public speaker on innovation and AI at large tech events such as LondonTech week, BBC, NASA, IDC, and the Gartner IT Symposium. From 2020 to 2022, Javier served on an exclusive 20-member panel of industry experts to craft Bank Of England's guide on accelerating use of AI within the financial services industry.
lt;p>Part I.- 1. Defining the Problem and Opportunity.- 2. First Principles Methodology.- 3. First Principles for the Key Areas Needed for AI.- 4. The barriers for implementing AI.- Part II. The WHY- 5. Introduction to AI and its Role in Business.- 6. Key Trends in AI.- 7. Data Monetization.- Part III.The WHAT.- 8. Overview of AI Concepts and Technologies.- 9. Supervised and Unsupervised Learning.- 10. Neural Networks and Deep Learning.- 11. Identifying Opportunities for AI in Your Business.- 12. Developing an AI Strategy.- 13. Measuring the Impact of AI on Your Business.- 14. How to Fund the Data and AI Journey.- 15. How to Approach Open Data.- Part IV. The HOW.- 16. Organization & Governance.- 17. Identifying Use Cases and Assembling a Team.- 18. Selecting Tools and Platforms.- 19. Architecting AI Apps: When/How to be Cloud Native.- 20. Integrating AI into Existing Systems and Processes.- 21. Case Studies and Examples.- 22. Responsible AI: Understanding the Ethical and Regulatory Implications of AI.- 23. Scaling AI in the Enterprise: AI Maturity Model.- Part V. The Future.- 24. Future Considerations for AI in Business.- 25. How Younger Generations See the Future.- 26. AI Future Trends.- 27. Conclusion.- Appendix.
| Erscheinungsdatum | 06.10.2023 |
|---|---|
| Zusatzinfo | 82 Illustrations, color; 5 Illustrations, black and white; XXXII, 584 p. 87 illus., 82 illus. in color. |
| Verlagsort | Berkley |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Schlagworte | AI for business growth • AI for small businesses • AI for startups • AI in business strategy • AI in customer service • AI in e-commerce • AI in finance • AI in HR • AI in Manufacturing • AI in marketing • AI in operations • Business AI applications • Data Monetization |
| ISBN-10 | 1-4842-9668-0 / 1484296680 |
| ISBN-13 | 978-1-4842-9668-4 / 9781484296684 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
