How machine learning has transformed our options for handling data

Machine learning is helping to improve almost every industry, from manufacturing to cybersecurity.

The form of artificial intelligence revolves around data analysis, which allows systems to learn from data and identify various patterns. As a result, it can make effective decisions without the need for human intervention.

While the science isn’t new, it is quickly gaining momentum due to its ability to make fast, reliable choices and deliver exceptional results almost every time.

Find out how machine learning has transformed the options for handling data.

Product Recommendations

Machine learning is helping companies to maximise their online sales using machine learning.

When a customer shops on a website or app, they might receive a recommended item that complements a user’s taste.

It works by machine learning identifying patterns in their online behaviour (brand preferences, past purchases, liked items, etc.), and then using this data to make an appropriate recommendation.

It can, therefore, improve a user’s online experience and help a brand increase their profit margin.

Intelligent Cybersecurity

Malware is becoming an increasingly real threat for companies of all sizes, and 40% of all successful attacks reportedly involve ransomware, which can demand money from a business or individual to release their data.

As a standard antivirus is no longer enough to keep cybercriminals at bay, machine learning is helping to combat various hacking tactics.

For example, it is helping to power endpoint protection, which can effectively analyse data and identify patterns to prevent a small or advanced cyberattack in real-time, and will work alongside traditional cybersecurity solutions, such as:

  • An integrated firewall
  • The use of reputation scores.
  • Advanced anti-malware and antivirus protection

Find out more about endpoint protection at McAfee.

Greater Customer Service

Unfortunately, it isn’t always possible for suppliers or businesses to answer every customer email or phone call immediately.

To improve customer service and prevent frustration, many companies are turning to chatbots to help answer their customers’ questions.

Thanks to machine learning algorithms, it’s now possible for chatbots to identify patterns in customers’ questions and deliver the best possible answers.

The more people ask questions, the more advanced the chatbot will become, as it will recognise common questions to provide more accurate answers.

Traffic Predictions

Machine learning doesn’t only manage data to improve cybersecurity, website sales and customer service, but it is also helping to manage traffic.

Most people use a GPS navigation service, but don’t realise their location and velocity is being saved to a central server, which builds a map of the current traffic.

Machine learning can then analyse congestion and consequently suggest detours to help reduce traffic and improve a person’s travel experience.

Not only can it help commuters arrive at work on time, but it can prevent manufacturers from missing important delivery deadlines, and help suppliers reach a plant on schedule.

Refined Search Engine Results

Search engines, such as Google, rely on machine learning to refine their search results. Each time a user enters a search, its algorithm will monitor how you respond to the results.

If you remain on a page for a long time, this will indicate to the algorithm that the results matched your phrase, so it can make a similar, more accurate recommendation when you return to the search bar to tweak your query.