Do you think you know what Artificial Intelligence truly is?
Four-part video series
Demystifying AI
with
Michel Morvan
PART I. What is Artificial Intelligence?
The primary focus of this introductory video is to explain the fundamental differences between recognition and reasoning in artificial intelligence systems.
Through an engaging dot game exemplifying the contrasting abilities of a crow’s brain and the human brain, the video offers valuable insights into how AI processes information differently from the human brain, highlighting the distinction between pattern recognition versus reasoning.
PART II. Data-driven vs. knowledge-driven AI
In this second video we dive deeper into the concepts that shape the two types of artificial intelligence: recognition-based and reasoning-based artificial intelligence..
You’ll gain deeper insights of their applications across various industries while understanding their distinct approaches to problem solving. From medical diagnosis and automatic subtitles in videos to optimizing complex supply chains, we showcase real-world examples of these two types of artificial intelligence.
PART III. What is Generative AI?
Curious about Generative AI? In this third video you’ll expand your understanding of artificial intelligence as we take a closer look at topics such as Chat GPT-like systems while answering key questions surrounding generative AI.
First, we explore popular Generative AI examples and how they are used to generate new content. Next, we shift our focus to discover how Generative AI can be used for in an enterprise context to help business leaders make optimal decisions and confidently navigate complexity and uncertainty.
PART IV. AI Simulation
In this last episode of Demystifying Artificial Intelligence Series, we continue to explore the limitless possibilities of artificial intelligence by answering the intriguing question of whether it is possible to combine recognition and reasoning, leveraging both data and knowledge into one unified system. And rather than delving into the technology itself, we provide a practical example of how such a solution can be used.
The combination of both pattern recognition and human knowledge expertise in AI Simulation opens a world of unprecedented possibilities and key benefits in the field of decision-intelligence.