Over the past years, the awareness and applicability of artificial intelligence have significantly increased across various industries. Today, the focus is on how to best implement it in manufacturing, customer service, or, for example, marketing. It’s important to note that AI development’s rapid emerge in the market and its widespread integration into processes didn’t happen overnight but is the result of various factors. This article will analyse 3 possible reasons that have led to the rapid development of AI and the state of the technology we have today.
What is AI?
AI is a technology that enables computers and machines to mimic human behaviour, meaning they can operate in dynamic environments: understand human commands, react to actions around them, etc.
In recent years, a branch of AI — generative AI — has garnered significant attention. These systems can create new and original content, such as text, images, videos, and audio tracks. There are already many examples of such technology in the market.
At the same time, everyone agrees that AI development brings numerous benefits, such as:
• Task automation
• Real-time data analysis
• Data-driven decision making
• Reduced risk of human error
• 24/7 operation, e.g., with chatbots in customer service
Despite these benefits, there are risks considering, which developers, providers, and users must evaluate, accept, or address. Ongoing discussions remain about intellectual property rights, how AI generates new content based on existing datasets, ethical issues regarding data protection, the growing threat of disinformation and manipulation, and more.
3 Reasons that Enabled AI Development So Quickly
AI is dramatically changing the market, and many consumers are struggling to keep up and explore the various integration features of AI in different systems and tools. Fundamentally, AI is most valued for its ability to process large amounts of data in real time, which is a key reason behind AI development.
1.Changes in computing power
Since working with data is a fundamental principle of AI, computing power is one of the direct factors determining how effectively such technologies can operate. Over the past years, computing power has advanced significantly: more powerful processors, graphics, tensor processing units, etc., which has allowed AI systems to evolve and complete tasks in minutes, not days or hours.
2.Access to large datasets
Another key factor for AI development is its ability to process large datasets. The more data AI tools process, the better and more efficiently they work because they learn from the data. This capability has emerged after AI became accessible through open-source software, giving developers new opportunities for research and experimentation.
3.Improved AI fields
Natural language processing (NLP) has also made significant strides, alongside the development of deep neural network models, which improve AI system performance. These network architectures now have better conditions for learning from complex data or working with sensitive information. All of this allows AI tools to generate results that are very close to human-created content.
Final Word
The discussed reasons for rapid AI development show how crucial technological advancements are. At the same time, it highlights the important contributions of tech experts in creating innovative and advanced solutions to enhance AI’s effectiveness.
If you are interested in this topic, we suggest you check our articles:
- AI’s Growing Demands Drive a New Era in Chip Design
- Generative AI: Deep Dive on What It Is and How it Can Be Used
- The Race Toward Artificial General Intelligence
- Quantum Computing: Understanding Its Principles and Industry Applications
Sources: IBM, Medium, Stanford University
