Unlocking the Basics
Embark on your AI journey with this essential section, designed to demystify the key terms and concepts for beginners. Gain confidence and understanding as you build a strong foundation in the fascinating field of artificial intelligence. With clear explanations and easy-to-understand examples, this section lays the groundwork for anyone new to AI, making complex ideas accessible and engaging.
#1-Disruptive technology refers to an innovation that significantly alters existing markets or industries by introducing new products, services, or business models that outperform and eventually replace established competitors.
"AI is the new electricity. Just as electricity transformed almost everything 100 years ago, today I have a hard time thinking of an industry that I don't think AI will transform in the next several years."
- Andrew Ng, Co-founder of Coursera and Google Brain, and Adjunct Professor at Stanford University.1
Why is artificial intelligence considered a disruptive technology?
Artificial intelligence is considered a disruptive technology because it has the potential to fundamentally change the way businesses, industries, and even societies operate. Several factors, combined with the rapid pace of AI development and its wide-ranging applications, make artificial intelligence a disruptive force with the potential to reshape industries, economies, and societies in ways that are difficult to predict. AI can automate tasks that are currently performed by humans, and it can also be used to create new products and services that didn't exist before. This has the potential to displace jobs and create new ones, and it can also change the way we interact with the world around us.
"Artificial intelligence is a truly disruptive force that is transforming the way we live and work. It has the potential to create new industries, revolutionize existing ones, and reshape the global economy."
- Sundar Pichai, CEO of Alphabet Inc. and Google.
Summary & Contextual Relationships:
#1. Disruptive technology: Refers to innovations that significantly alter the way industries or markets function.
Relationships to the other essential terms:
Relationship #1 is to term #3. Artificial intelligence (AI):
Disruptive technology now often involves AI, as it can revolutionize industries by automating tasks and enabling new capabilities.
Relationship #2 is to term #6. Machine learning (ML):
Disruptive technology can leverage ML to create systems that can learn and adapt, leading to significant advancements in various fields.
Relationship #3 is to term #10. Deep learning:
Disruptive technologies can utilize deep learning techniques to process large amounts of data, enabling breakthroughs in areas like image recognition and natural language processing.
Relationship #4 is to term #25. Big data:
Disruptive technologies often relies on big data to fuel AI and ML algorithms, driving innovation and transforming industries.
Relationship #5 is to term #41. Automation:
Disruptive technologies may employ automation to streamline processes and improve efficiency, leading to substantial changes in the way businesses operate.
Source: Metz, C. (2017). As Artificial Intelligence Evolves, So Does Its Criminal Potential. The New York Times. ↩