Machine Learning within everyone's reach

The use of machine learning in business seems like a distant reality for small business owners, but you may already be using this type of technology and not even know it.

Whether you use a search engine to conduct research, an email marketing application to communicate with your customers or an advertising tool to promote your business on social media, artificial intelligence is already working in your company's favor. 

However, there are solutions that can be customized for different types of needs. ML algorithms get smarter as they go along and can make your company smarter too. All this in exchange for a much more affordable investment and a guaranteed return. 

Machine learning for small businesses

To avoid being overtaken by digital competitors, it is important for small businesses to seek out the latest technology solutions. Machine learning technologies are starting to be integrated into all sectors due to the rapid drop in price, as competitors have entered the market and open source frameworks have become available. 

These solutions save time on routine tasks and turn data into insights. Integrating AI into business processes can help ensure more timely and accurate decision-making.

Pre-trained machine learning models are helping small businesses to create solutions that used to be available only to large companies. Today, open source algorithms and tools are more widely available.

Although it is possible to train your own model, it is not necessary. Tech giants with huge R&D resources often sell machine learning software as a service. These kinds of affordable and informed solutions have become a great asset for small businesses.

Common uses of machine learning in business

Some sectors are full of big data sources that are perfectly suited to new machine learning models. Whether this is the case or not, all companies can integrate machine learning into their processes in common ways.

Marketing: machine learning technology helps provide actionable insights and improve decisions. In 2018, 43% of marketers in the United States were already using AI and machine learning to improve predictive models and exceed revenue targets.

Automation: one of the best advantages of ML is that it automates repetitive tasks and increases productivity. Many companies already use email with AI information and paperwork automation. Chatbots are another great application of affordable ML solutions that offer better customer service and adaptable responses.

Security: because machine learning tracks patterns in data, algorithms are great for identifying suspicious account behavior and detecting fraud. These tools can be used in financial monitoring and network security.

SEO: Google's algorithms are largely informed by machine learning, so companies should use SEO to keep up. Tools such as Google Analytics and Ahrefs use AI technology to improve pattern tracking and offer up-to-date feedback to customers.

Customer suggestions: this type of prediction can also help you personalize advertising campaigns and suggest upcoming purchases to customers. By identifying patterns in user behavior, ML allows you to determine which individual ads are most likely to be relevant to specific users.

Finance: financial companies use ML in their clients' retirement planning through robot advice, underwriting, credit scoring and algorithmic trading. 

Human Resources: HR departments can take advantage of ML to recruit and retain the best talent. 

Customized Machine Learning solutions

4KST offers tailor-made solutions for any size of business and for various types of segment, be it education, finance, health, retail, marketing, industry, etc. With the use of our predictive models, the possibilities are limitless. 

To find out more about our artificial intelligence, fill in the form below and contact us.