Artificial intelligence and machine learning have been in the spotlight lately as businesses become more familiar and comfortable with using them in their business practices.
Although often discussed together, artificial intelligence and machine learning are two different things and can have two separate applications. Here's everything you need to know about the difference between artificial intelligence and machine learning and how it relates to your business.
What is artificial intelligence?
THE'Artificial intelligenceis programming computers to complete tasks that usually require human input. A computer system typically mimics human cognitive abilities for learning or problem solving.
What is machine learning?
Machine learning (Machine Learning) is when computers sort through sets of data (like numbers, photos, text, etc.) to learn about things and make predictions. The more data it has, the better and more accurate it gets at identifying distinctions in the data.
Machine learning typically requires human input to begin learning, but this is as simple as a human providing an initial data set. AI and machine learning are terms used interchangeably, but they shouldn't be.
The main difference between Artificial Intelligence (AI) and Machine Learning is that AI is a general system with cognitive capabilities and Machine Learning is how systems sort data sets and build cognitive intelligence and skills. Machine learning is an application of AI.
All machine learning is artificial intelligence, but not all artificial intelligence is machine learning.
AI and Machine Learning Capabilities
There are great opportunities for companies to leverage theArtificial intelligenceand machine learning; we will discuss some of them below.
1. Recommendations and algorithms
Businesses can use artificial intelligence and machine learning to create algorithms that recommend products or services to users and correctly recommend the products a user wants.
A great example is a streaming service's algorithm that suggests shows and movies based on your viewing history and ratings. These recommendations get better over time as the machine has more viewing history to analyze.
2. Image Search
When a machine receives data in the form of images, it learns key features and distinguishing characteristics. This type of machine learning helps people use devices for visual search and Google Lens is a great example of this.
Suppose someone is out in public and sees someone wearing a pair of shoes they like. They can’t identify a brand, so they take a photo of the shoe using Google Lens. It scans the image for recognizable features and characteristics and searches the Internet for a match, ultimately guiding the searcher to the exact pair of shoes.
3. Sentiment Analysis
Artificial intelligence and machine learning can understand the sentiment behind statements and classify them as positive, neutral, or negative.
Social listening tools are a popular marketing application of sentiment analysis, and the tools typically analyze online conversations about brands and use keywords to determine whether people are being positive or negative in their statements.
4. Voice recognition
Machines can also learn to detect sounds and sound patterns, analyze them, and use the data to provide answers. For example, Shazam can process a sound and tell users the exact song that was playing, and Siri can provide answers to a user's spoken query.
Advantages of Artificial Intelligence and Machine Learning
The use of artificial intelligence and machine learning can bring a number of benefits to a brand that seeks to leverage them:
- Data Analysis : When systems become more efficient at processing data, teams have a useful and accurate source of information that can help guide business decisions.
- Efficiency and time management:Machine learning and artificial intelligence can take over routine daily tasks and allow teams to focus on pressing problems that a computer can’t handle.
- Quick fixes:Intelligent machines can arrive at solutions faster than humans can. For example, a human could generate a list of reliable sources on a topic, but Google Search would do it faster.
Regardless of the distinctions, one thing is clear; AI benefits businesses, and adapting the tools to your business strategy can give you an edge over your competition.
Source Hubspot
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