Artificial intelligence and machine learning have been in the spotlight lately as businesses are becoming more familiar and comfortable using them in 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?
ArtificialIntelligence is programming computers to complete tasks that typically require human input. A computer system typically mimics human cognitive abilities of learning or problem-solving.
What is Machine Learning?
Machine Learning (ML) is when computers sort through sets of data (like numbers, photos, text, etc.) to learn about certain 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 should not be.
The main difference between Artificial Intelligence (AI) and Machine Learning is that AI is a general system with cognitive abilities, and Machine Learning is how systems sort through sets of data and build cognitive-type intelligence and abilities. Machine learning is an application of AI.
All Machine Learning is AI, but not all AI is Machine Learning.
AI and Machine Learning Capabilities
There are great opportunities for businesses to leverage Artificial Intelligence and machine learning; we will discuss some below.
1. Recommendations and Algorithms
Businesses can use AI and machine learning to create algorithms that recommend products or services to users and correctly recommend products that a user desires.
A great example is the algorithm of a streaming service that suggests shows and movies based on watch history and ratings. These recommendations get better over time as the machine has more watch history to analyze.
2. Image Search
When a machine is given 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 that they like. They can’t identify a brand, so they take a picture of the shoe using Google Lens. It scans the image for recognizable features and characteristics and searches the web for a match, eventually guiding the searcher to the exact pair of shoes.
3. Sentiment Analysis
AI 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 tools typically analyze online conversations about brands and use keywords to determine whether people are 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 communicate to users the exact song playing, and Siri can provide answers to a user’s voice query.
Benefits of AI and Machine Learning
The use of AI and machine learning can bring a host of benefits to a brand looking to leverage them:
- Data Analysis : as systems become more efficient at processing data, teams have a source of useful and accurate information that can help guide business decisions.
- Efficiency and Time Management: machine learning and AI can take over daily routine tasks and allow teams to focus on pressing issues that a computer cannot handle.
- Quick Solutions:Â Â intelligent machines can arrive at solutions faster than humans can. For example, a human might list 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 tools to your business strategy can give you a competitive edge.
Source Hubspot
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