Artificial Intelligence, or AI, refers to computers' ability to learn and process data similar to how human brains do. AI is an emerging field that is having a tremendous impact on society today.
Artificial intelligence (AI) is already revolutionising many industries by optimising performance and productivity, making sense of massive amounts of data in ways impossible for humans alone to manage.
How It Works
AI systems operate by combining large quantities of intelligent, iterative processing algorithms with an ability to recognize patterns and features within data to help it identify patterns and features for analysis, enabling AIs to gain knowledge from their environment and continually enhance performance over time.
Machine learning (ML) algorithms that can extract insights from data are the keys to unlocking insights from it. Deep learning algorithms are particularly effective at doing this as they mimic how human neural networks process information to make sense of complex and unfamiliar patterns.
AI technology continues to advance, yet has some inherent restrictions and can sometimes be hard to explain - which may present difficulties for industries subject to stringent regulatory compliance requirements.
AI's first major advancement came during the 1950s when researchers created neural networks to simulate brain activity. Their models were built around the idea that neurons in our brains form connections over time with exposure to experience.
Neural networks have quickly become an indispensable component of artificial intelligence (AI), playing an essential role in applications like facial recognition, language translation, and autonomous vehicle navigation.
Noteworthy achievements of AI over the past decade include Apple's Siri and Amazon's Alexa voice assistants; IBM Watson's successes on Jeopardy; Google self-driving cars; DeepMind's AlphaGo's defeat of world Go champion Lee Sedol by DeepMind, as well as developing generative adversarial networks.
Artificial General Intelligence is widely believed to be the next big milestone in AI, allowing machines to perform complex tasks and solve problems beyond human abilities. This may also include learning and making non-deterministic rational decisions.
Till then, we must expand our understanding of how the human brain and computer interact. Machine learning, natural language processing and deep learning must continue to develop as essential capabilities.
As well, we must explore how best to apply AI technologies so as to get the most from them - for instance by finding ways of minimizing how much training and data our AI systems consume.
Though AI may present certain challenges when applied across an enterprise, its implementation can be transformative for many industries. AI offers the chance to reduce costs while increasing productivity while providing greater returns than traditional IT tools.
