In an era where Artificial Intelligence continues to reshape the business landscape, it’s imperative for leaders and developers to stay abreast of the latest advancements. We are excited to announce the release of the second edition of our comprehensive guide, “Applied Artificial Intelligence: A Handbook For Business Leaders.” This new edition builds upon the foundational knowledge provided in the first edition, introducing critical updates and new chapters on the cutting-edge areas of Generative AI and Large Language Models (LLMs).
What’s New in the Second Edition?
- Predictive AI vs Generative AI – A dedicated chapter that offers an extensive comparison of Predictive and Generative AI. It includes practical examples, detailed illustrations, and insights into their applications in various industries.
- LLM Applications – This chapter provides an in-depth look at the lifecycle of LLM product development, from conception to deployment. It covers crucial aspects such as performance evaluation and safety considerations, offering a roadmap for businesses looking to leverage LLMs.
- Revitalized AI for Enterprise Functions – We’ve thoroughly updated this section to illustrate how Generative and Predictive AI are revolutionizing areas like software development, marketing & sales, customer support, HR, cybersecurity, finance, and legal departments.
Continuing the Educational Journey
As with the first edition, the second edition begins with an introduction to AI, tailored specifically for business leaders. It guides readers through the intricacies of developing a robust Enterprise AI Strategy and shows how AI can be a game-changer in various business functions.
The newly revised chapters in “AI for Enterprise Functions” provide fresh perspectives and updated case studies, demonstrating the transformative power of AI in the business world.
Ethics and Responsibility in AI
Consistent with the first edition, the second edition places a strong emphasis on the ethics of AI. It addresses the latest developments and challenges in the field, ensuring that the implementation of AI solutions is both responsible and forward-thinking.
In the book, we dedicate significant attention to the importance of transparent communication in the successful implementation of AI, emphasizing how clarity and honesty in conveying AI-driven changes and their implications can foster trust and acceptance among all stakeholders.
Additionally, we delve into the critical responsibility of businesses to reskill and upskill their workforce in the face of AI advancements. This aspect of AI ethics is often overlooked but is crucial for ensuring a future where technology and human talent coexist and complement each other.
Your Guide to Navigating AI in Business
Our Applied AI book is more than just a book; it’s a roadmap for business leaders and developers to navigate the complex world of AI. Whether you are looking to integrate AI into your business strategy, develop LLM-based applications, or simply stay updated with the latest trends in AI, this book is an indispensable resource.
Available now for purchase (affiliate link), this second edition is a testament to our commitment to providing the most relevant and practical guidance in the field of AI for business leaders. Embrace the future of AI with confidence and insight – get your copy today!
As we launch this pivotal second edition of “Applied Artificial Intelligence: A Handbook For Business Leaders,” we are delighted to offer the Kindle version for free during the first 5 days following its release (Feb 13-17) This is our way of expressing gratitude to our readers and encouraging an even wider audience to engage with the transformative power of AI in the business world.
Are you a business leader new to the AI space, seeking a beginner-friendly introduction? Or maybe you’re an experienced technologist grappling with the unrealistic expectations of non-technical colleagues who seem to believe AI is some form of magic.
We wrote Applied AI to serve as a concise, accessible, and practical guide for executives aiming to integrate modern AI technologies into their enterprises. The second edition has been expanded to include the business implications of the latest advancements in generative AI and large language models.
