Today’s life has become much easier and more convenient, thanks to technology. You can easily plan your holiday by receiving travel alerts and weather updates on your gadgets. Your business transactions are also faster and more efficient.
In more specific terms, this technology is called Artificial Intelligence (AI). AI allows human-to-machine interaction to be accomplished with ease. AI is the machine’s ability to understand human processes as well as work on tasks that make human life more manageable.
Along with the concept of AI, the process of machine learning allows computers to self-learn without the intervention of humans and be able to respond appropriately. Sounds interesting? For a more in-depth understanding of what AI and machine learning are, you can refer to this article from NCS.
What is Artificial Intelligence?
In computer science, Artificial Intelligence makes computers behave like humans or be able to mimic human behavior and capabilities. You can easily spot AI in your smartphones or electronic devices. You are experiencing AI through voice assistants like Siri or Alexa.
Several companies use AI technology to make their operations and services better. AI can make computers interpret images and understand human language. AI can aid in automating tasks, improve decision-making processes, and allow easier and more comfortable customer interactions.
What is Machine Learning?
Machine learning is a subset of AI. Machine learning allows the extraction of knowledge and making decisions or predictions from any given data without specific and direct human instructions. This makes computers improve on their own through past data and experience.
With the use of algorithms, computers can learn and grow automatically and be able to optimize operations. Through machine learning, computers can solve complex problems at increased speed and accuracy, which can be difficult for most human minds.
The Difference: AI and Machine Learning
Though AI and machine learning are interconnected, they also have their differences. Here are some of the key differences between AI and machine learning:
| Artificial Intelligence | Machine Learning |
| Can create computer systems that act like humans that can perform and solve complex problems. | Goal: for computers to learn from the given data and be able to give accurate results. |
| Can be applied to different intelligent systems to perform various and complex tasks. | Can only do specific tasks that they are programmed for. |
| Intelligent systems are developed to be able to perform tasks like humans. | Machines are given “specifically annotated data, such as semantic segmentation, bounding boxes, etc., to perform concrete tasks and provide accurate results.” |
| Focus on maximizing success | Focus on accuracy and patterns |
| Wide range of scope | Limited scope |
| Some example applications include Siri, customer support applications, and online gaming. | Examples include the Google search algorithm and Facebook friend tagging suggestions. |
AI and machine learning can be used in all industries. Industries that have embraced this form of technology are experiencing successful operations through the automation of their manual operations.
With the help of AI and machine learning, companies can pursue strategic plans and actionable data techniques for efficiency and faster operations. AI and machine learning have proven to be helpful in these industries:
Manufacturing
Errors or malfunctions are less likely to happen if machine errors are identified early on through data analytics. AI gadgets can be installed in different locations within the manufacturing plant to help monitor machine production activity.
AI also helps determine when to do maintenance procedures best to avoid inconveniences and delays in operation. AI and machine learning can also help in the reduction of energy consumption.
Banking
Banks and financial institutions place prime importance on data privacy and security. There are several ways AI and machine learning can secure client data, avoid cyber attacks, and detect fraudulent transactions.
Client authentication is also very important in banking which can easily be facilitated through biometrics. Customer service operations can also be made available and accessible through voice assistants and chat functionalities.
Health Care
The healthcare industry houses tons of information that are increasing on a daily basis. AI and machine learning can aid in building more accurate and efficient health care services for its clients through analytics and informatics.
With the right technological tools in place, healthcare workers will no longer be burdened by looking for their patient’s records. They will have more time to focus on their patients instead of burying themselves in paperwork.
Incorporating AI tools in nursing homes helps in the easy monitoring of admissions. Several AI systems can be used for healthcare to make patient-doctor interaction more efficient and accessible.
The Future of AI and Machine Learning
When you think about AI and machine learning, you think about connection and interaction. AI and machine learning are two different technological concepts but are highly connected with each other.
In simple terms, AI makes computers think and act like humans independently. At the same time, machine learning is the computer’s ability to develop and enhance its intelligence all on its own.
AI and machine learning are certainly game-changing advancements. However, there may be circumstances that these innovations may not be entirely helpful. If you want to integrate AI into your business or personal life, it is best to make a plan to determine which applications are ideal.
