Generative AI/ML for Business

Generative AIML for Business serves as a foundation for understanding the key elements of the generative age. It highlights how businesses can soon rely on AI to be accurate, effective, and capable of creating a vast array of virtual assistents. Readers will discover how to leverage generative AIML more effectively in their organizations. Most business only use five ai functions. I will reveal how ai functionality is set for exponential growth expanding into every aspect of business.
In this book, I discuss the current state of AI and theorize what changes are needed to enhance AI for lasting value. I also make predictions about the future of AI and how it will transform our work processes. The book combines philosophy with arguments for creating empathetic and emotionally aware AI, as well as AI that excels in strong reasoning. I believe AI agents will soon become a major trend, leading to more job titles like "AI Engineer" as AI takes on tasks in data science and analytics.
I start with the premise that humans possess infinite intelligence, which sets the stage for exploring alternative learning methods that mimic the brain's ability to adapt and evolve without traditional backpropagation. This offers insights into the future of machine learning and its implications for AI's capabilities. We also dive into deeper philosophical questions about whether humans possess infinite intelligence and the potential for infinite goodness.
By examining abstraction as a measure of intelligence, readers will reflect on the implications of consciousness and the ethical responsibilities associated with advanced technology. The book argues that the digital transformation of businesses will create new roles and opportunities for the workforce. It provides insights into the skills needed for the future, helping individuals prepare for a rapidly changing job market driven by AI.
We explore the advancements in AI language models, specifically focusing on GPT4o and its improvements in abstract reasoning and complex problem-solving. Readers will understand how these advancements can enhance decision-making processes in business and beyond. The discussion continues with how robots are increasingly taking on complex tasks, supported by a theoretical framework for humanoid robotics.
This section illustrates the potential for seamless collaboration between humans and robots across various industries. Readers will learn about NVIDIA's groundbreaking exaflop machine and its role in advancing robotic learning through attention and predictive actions, showcasing how powerful computing can facilitate more sophisticated AI applications. The Astribot project, aimed at providing billions with access to robotic assistance, promises to enhance everyday life.
This chapter emphasizes the potential impact of robotics on society and the democratization of technology. I also discuss the importance of AI systems being dynamic, stable, and useful, introducing the concept of neurosymbolic reasoning as a solution to enhance AI's reliability and efficiency. Finally, I paint a vivid picture of an economy populated by a billion thinking mobile robots, illustrating the transformative potential of AI in various sectors and daily life.
We tackle the ethical dilemmas surrounding simulated consciousness and the competition in autonomous driving technology, comparing advancements from companies like Tesla and DeepRoute.