What is Machine Learning?
Machine learning is an artificial intelligence (AI) technique used by businesses worldwide to develop data-driven algorithms and models that detect patterns and make predictions with real-world data. Machine learning leverages big data to analyze and build insights by learning from the data by recognizing patterns and making predictions. Machine learning algorithms also learn from new inputs, allowing the algorithms to update themselves and making them “self-tuning”.
What is AI?
AI (or artificial intelligence) is a general term used to describe algorithms that can “think” and act instead of relying solely on traditional programming methods. AI includes several techniques, such as text mining, natural language processing (NLP), deep learning, computer vision, and robotics.
AI or Machine Learning: What’s Better for Business?
When it comes to business, both machine learning and AI have different use cases and advantages. Depending on the scope of a business’s needs, companies should analyze each technology and decide which is best for their goals.
AI or Machine Learning: Which Should You Choose?
When deciding between machine learning or AI for a business, it’s important to consider both the short-term and long-term goals of the business. If you’re looking for a quick solution to analyze large amounts of data, build predictive models, or automate processes, then machine learning is probably the better choice.
Ultimately, it’s important to assess the scope of the project and decide if AI or machine learning will allow the business to best achieve its goals. The two technologies have different use cases, so companies should consider each one carefully before making their decision.