What is artificial intelligence?
Artificial Intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition, and machine vision.
How does AI work?
As the hype around AI has accelerated, vendors have been scrambling to promote how their products and services use AI. Often what they refer to as AI is simply one component of AI, such as machine learning. AI requires a foundation of specialized hardware and software for writing and training machine learning algorithms. No programming language is synonymous with AI, but a few, including Python, R, and Java, are popular.
In general, AI systems work by ingesting large amounts of labeled training data, analyzing the data for correlations and patterns, and using these patterns to make predictions about future states. In this way, a chatbot fed examples of text chats can learn to produce lifelike exchanges with people, or an image recognition tool can learn to identify and describe objects in images by reviewing millions of examples.
AI programming focuses on three cognitive skills: learning, reasoning, and self-correction.
Learning processes. This aspect of AI programming focuses on acquiring data and creating rules for turning the data into actionable information. The rules called algorithms provide computing devices with step-by-step instructions for how to complete a specific task.
Why is Artificial Intelligence important?
AI is important because it can give enterprises insights into their operations that they may not have previously know. In some cases, AI can perform tasks better than humans. When it comes to repetitive, detail-oriented tasks like analyzing large numbers of legal documents to ensure relevant fields are filled in properly, AI tools often complete jobs quickly and with few errors.
Before the current wave of AI, it would have been hard to imagine using computer software to connect riders to taxis, but today Uber has become one of the largest companies in the world by doing just that. It utilizes sophisticated machine learning algorithms to predict when people are likely to need rides in certain areas, which helps proactively get drivers on the road before they're needed. This has helped fuel an explosion of inefficiency and opened the door to entirely new business opportunities for some larger enterprises. As another example, Google has become one of the largest players for various online services by using machine learning to understand how people use their services and then improve them. In 2017, the company's CEO, Sundar Pichai, pronounced that Google would operate as an "AI-first" company.
Today's largest and most successful enterprises have used AI to improve their operations and gain an advantage over their competitors.
What are the advantages and disadvantages of artificial intelligence?
Artificial neural networks and deep learning artificial intelligence technologies are quickly evolving, primarily because AI processes large amounts of data much faster and makes predictions more accurately than humanly possible.
While the huge volume of data being created daily would bury a human researcher, AI applications that use machine learning can take that data and quickly turn it into actionable information. The primary disadvantage of using AI is that it is expensive to process the large amounts of data that AI programming requires.
Advantages
- Good at detail-oriented jobs;
- Reduced time for data-heavy tasks;
- Delivers consistent results; and
- AI-powered virtual agents are always available. Disadvantages
- Expensive;
- Requires deep technical expertise;
- A limited supply of qualified workers to build AI tools;
- Only knows what it's been shown; and
- Lack of ability to generalize from one task to another.
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