Название: Grow Your Business with AI: A First Principles Approach for Scaling Artificial Intelligence in the Enterprise Автор: Francisco Javier Campos Zabala Издательство: Apress Год: 2023 Страниц: 587 Язык: английский Формат: pdf, epub Размер: 31.2 MB
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.
In the ever-evolving landscape of Artificial Intelligence (AI), businesses must stay informed about the latest trends, challenges, and opportunities to remain competitive and drive growth. This chapter aims to provide a comprehensive overview of the current trends in AI, using a First Principles approach to analyze their potential impact on businesses and the future of AI technology. As we saw on earlier chapters, the core components of AI from First Principles point of view are:
a. Machine Learning algorithms b. Data (structured and unstructured) c. Computational power and hardware d. Software and programming languages e. Human-computer interaction
We begin by examining the latest advances in Machine Learning algorithms, including generative AI, foundational models, reinforcement learning, robotics, computer vision, and image recognition. We will discuss the implications of these breakthroughs for businesses and AI-driven innovation.
Next, we explore the increasing importance of data in AI development, highlighting the significance of data quality, quantity, diversity, and ethical data handling. We will provide best practices for effective data management and utilization, tailored for business needs and potential benefits.
We then delve into AI hardware and infrastructure, discussing progress in specialized AI hardware, cloud-based platforms, and edge computing. We also look at the future trends in quantum computing and their potential impact on AI. In the software and programming languages section, we cover popular AI programming languages, libraries, open-source tools, and frameworks.
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.
Introduction Chapter 1: Setting the Stage: AI Potential and Challenges Chapter 2: What Is First Principles Methodology Chapter 3: First Principles for Key Areas Needed for AI Chapter 4: The Barriers for Implementing AI Chapter 5: Introduction to AI and Its Role in Business Chapter 6: Key Trends in AI Chapter 7: Data Monetization with AI Chapter 8: Overview of AI Concepts and Technologies Chapter 9: Supervised and Unsupervised Learning Chapter 10: Neural Networks, Deep Learning, Foundational Models Chapter 11: Creating an AI Roadmap Fully Aligned to Enterprise Strategies Chapter 12: Funding and Measuring the AI Journey Chapter 13: How to Approach Open Data Chapter 14: Organization and Governance Chapter 15: Mastering AI Projects: Assemble, Lead, and Succeed Chapter 16: Selecting AI Tools and Platforms Chapter 17: Architecting AI: When to Be Cloud Native Chapter 18: Integrating AI into Existing Systems and Processes Chapter 19: Case Studies and Examples Chapter 20: Responsible AI Understanding the Ethical and Regulatory Implications of AI Chapter 21: Scaling AI Chapter 22: How Younger Generations See the Future of AI Chapter 23: Future Trends in AI and Its Considerations for Business Chapter 24: Conclusions APPENDIX A: References and Resources Index
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