- Virtual personal assistants
Virtual personal assistants such as Alexa, Siri and Google now have become popular in many households. As the name suggests, they help in completing specific tasks and finding information when commanded over voice. By simply asking these assistants questions like “What is my schedule”, you get a response from the virtual PA, which first looks for the information on the query asked. You can even command it to play music, set the alarm or remind you of a particular event, and it will do that appropriately. Machine learning is a critical component in virtual personal assistants. It helps in the collection and refining of information based on your history. It also allows VPAs to render results that are tailored to the user’s preferences.
- Filtering email malware or spam
Email spam and malware are key problems for many people. They often result in the loss of crucial information and money, which many malicious individuals look for. Machine learning, however, offers a new glimmer of hope in combating malicious emails. It filters emails by analyzing words, using case base and thorough extraction of words from images, that cannot be attained using the traditional rule-based methods. AI-based spam and malware filtering algorithms are accurate and keep changing to adapt to the changing behaviors.
- Chatbots and online customer support
The majority of websites nowadays allows visitors to chat with customer support representatives. While some of those you chat with are real human customer representatives, most of them are chatbots that assess the questions you ask and answer them accordingly. These bots extract information from the website you visit and present it to you. Using machine learning, the bots processes the questions asked and extracts relevant answers. The use of AI-based chatbots allows companies to help their customers at all the time without increasing the cost of operations by hiring human customer care representatives.
- Refining search engine results
Search engines such as Google, among others, rely on modern technologies to improve the search results for their visitors. Every time you hit “search” after typing some keywords, AI-based algorithms at the backend saves your searches and how you respond to the results displayed. If you select or open the results and stay on a specific page for a long time, the search engine will assume that the research they displayed were in accordance with your desires. The opposite will be the case if you keep moving through pages without opening the results. In such cases, the algorithms at the backend will update themselves using machine learning to serve content better.
- Product recommendations
If you have tried looking for products online via online stores, then you have definitely interacted with machine learning at one point. At one point, you might have received an email with recommendations on products that you have looked for at any given time. These recommendations make your experience better. This is all machine learning making things work better for you. Machine learning also makes it easy to search websites by giving you recommendations on the first page.