The machine learning It has become one of the keys for those companies that want to lead change and technological innovation. One of the decisive factors for many to implement it is the up to a 35% increase in performance and production. Do you want to know how machine learning manages to reduce the workload and IT costs of companies? We explain it to you in this post.
Do you want to start digital transformation in your business?
We help you with our services!
What is Machine learning?
The machine learning It is a discipline of Artificial intelligence in which systems learn automatically. You may have also heard it called Machine Learning. This learning starts from an algorithm that review data and predict future actions. It is for this reason that some companies introduce it in their organization: they want to automate their processes as much as possible to be more efficient, anticipating future behaviors. Some of the most widespread uses of machine learning are:
- Fraud detection
- error prediction
- medical diagnoses
- Market Demand Forecast
- Personalization of the content depending on the user
- Image analysis
- Forecast employee profitability
How does it help companies?
1. Reduce workload with machine learning
One of the great advantages of machine learning is that it reduces the workload of people. In this way, the technology analyzes the data and predicts behaviors, so that the employees make their decisions based on these results and allows them to be much more efficient, achieve objectives Y avoid errors. Thus, employees do not waste time on long and tedious analysis processes, and carry out actions more reliably and quickly.
Machine learning can help reduce workload in any industry. For example, gmail uses it for prevent spam in your users' inbox. In this case, the application is based on past events, in order to predict future ones (fraudulent or malicious emails).
In others sectors such as Health, is also very relevant to be able to make medical diagnoses, thanks to the collection of symptoms and relevant data, together with the machine learning. This means that health center professionals can be more efficient and can be backed up by data.
Another fairly clear example is the use of chatbot, which allow customers to be served 24 hours a day, without the need for a person behind them.
Automate natural conversations with DialogFlow
Create chatbots with Google Cloud Platform and DialogFlow
2. Reduce costs
One of the consequences of increasing the efficiency of workers is the company cost reduction. In addition, with machine learning, costs can be reduced even more since it also allows predicting which services or products may have more demand, so you can find business and sales opportunities without having to spend so many resources. This can also be very useful in companies of the sector of retail, since it can help in the provision and in the storage of materials/products to optimize costs.
In addition, as in the previous point, one of the most widespread uses that allows companies to save a great deal is in the case of chatbot, by being able to offer a 24/7 service without having to have a customer service team behind. You can do this with some cloud service providers, such as Google CloudPlatform, which allows you to hire microservices and pay only for the ones you use.
Do you want to reduce a 35% in costs for unused cloud services?
Get it with GCP and its microservices!
3. Improve the user experience
In addition to the above points, the machine learning It also allows to improve the UX of any company or business. In this way, the system collects data on the user's habitual behavior on the platform or website, and the algorithm analyzes the user in order to predict their behavior and adapt to it. For example, some companies use machine learning to be able to hyper-personalize content and be much closer to the user.
4. Real-time monitoring
The current digitization is marked by the large amount of data that are collected. However, this can be a problem if there is not a good system behind that analyzes and uses them correctly. This is why the machine learning is an excellent option for companies that want to have a real-time control of data which, in turn, believes automatic responses.
5. Process automation
Finally, as is evident, the machine learning either machine learning allows something very valuable to companies: automate processes. This influences all the points discussed above. Based on all the data collected, a response is created that allows the company to dispense with some actions. Thus, companies can generate a competitive advantage compared to their competition, since they are much more efficient.
Do you want to implement machine learning in your company?
If you are interested in implementing machine learning in your company, we as Google Official Premier Partner We can guide and advise you. You can contact us filling out this form or by calling +34 634 887 870, and a specialist from our team will contact you.
What does Google have prepared for your company?
Visit our online store!
