Grow Your Business with AI

Leverage the power of Artificial Intelligence (AI) to drive the growth and success of your organization. This book thoroughly explores the reasons why it is so hard to implement AI, and highlights the need to reconcile the motivations and goals of two very different groups of people, business-minded and technical-minded. 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.

  Offers practical guidance for businesses looking to implement AI, making it an essential resource for leaders Includes case studies from companies that have successfully implemented AI, providing real-world insights Covers the latest trends and technologies in AI at the Enterprise level

  Autorentext

  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.

  Inhalt

Part I. Introduction and First Principles.- 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 with AI.- Part III.The WHAT.- 8. Overview of AI Concepts and Technologies.- 9. Supervised and Unsupervised Learning.- 10. Neural Networks, Deep Learning and Foundational Models.- 11. Creating an AI Roadmap fully aligned to Enterprise Strategies.- 12. Funding and Measuring the AI Journey.- 13. How to Approach Open Data.- Part IV. The HOW.- 14. Organization & Governance.- 15. Identifying Use Cases and Assembling a Team.- 16. Selecting Tools and Platforms.- 17. Architecting AI Apps: When/How to be Cloud Native.- 18. Integrating AI into Existing Systems and Processes.- 19. Case Studies and Examples.- 20. Responsible AI: Understanding the Ethical and Regulatory Implications of AI.- 21. Scaling AI in the Enterprise: AI Maturity Model.- Part V. The Future.- 22. How Younger Generations See the Future.- 23. AI Future Trends and It's Considerations for Business.- 24. Conclusion.- Appendix.