Artificial intelligence to make better decisions

With the implementation of this technology, companies can identify risks and opportunities in their operations, be more efficient and make more accurate and strategic decisions.

Artificial vision, natural language processing and machine reinforcement learning are  three areas of artificial intelligence that allow generating efficiencies, cost savings and significant improvements in different business processes.

Santiago Gutiérrez, CEO of  Tulipán 1637 , a company that uses technologies such as big data and artificial intelligence to convert information into knowledge, explains what each of these three areas consist of:

Computer vision:  ability given to a computer to detect features in images and videos that we want it to see to make decisions, for example, IBM’s Watson was trained with breast cancer images to help doctors detect faster and efficiently this cancer in patients and provide treatment options based on what has worked.

Natural language processing:  it is giving the computer the ability to read and understand texts like humans to make decisions much faster. A French newspaper, for example, works with an artificial intelligence algorithm that reads newspapers such as the Washington Post, New York Time, BBC, Bloomberg and many more to generate its own articles on what is happening in the world with its tone and voice; Of course, before being published each article is reviewed by an editor to adjust or correct where necessary.

Another application of this type of artificial intelligence is in judicial processes, where the computer helps speed up investigations by reading a large number of databases, statements, hearings and testimonies so that those responsible for sanctioning an act do so faster.


Reinforcement learning of machines:  from a series of characteristics and restrictions, the optimum is sought that should solve a specific problem.

In addition,  an artificial intelligence agent learns from the operation of the business  and is the one who says how to act and why to do so, for example, in a courier and merchandise shipping company, it can decide how to dispatch the trucks so that they are more effective, or in an egg incubator it can give information about the production of the hens, in which city the eggs may be most in demand, at what price to sell them, how to dispatch them, among other information.

One of the great advantages of this agent is that it constantly learns things that are exogenous to the problem to help business administrators make the right decisions in the different processes. It becomes  an assistant that has the ability to show them the best path, it can even predict the results if one path or another is taken  , and it also helps to avoid actions that could affect the company.

Making use of all this information makes companies  data driven, that is, they use data efficiently  to execute their processes and make decisions with which they achieve an optimum that, among other things,  helps them reduce costs, increase profits and ebitda because they are much more efficient.

Although the initial investment in artificial intelligence can be large, it is a technology that will always serve and generate efficiencies for companies because the algorithm is not static, it is learning more from the company all the time to decide better.

Make the right use of the data

According to Santiago, protocols, algorithms and artificial intelligence strategies can be applied to the processes of any company, but to do so it  is essential to have very well organized data with the information that is in order to accelerate decision making  and optimize up to 100% or more.

He believes that  data is the gold that will allow companies to transform, become more efficient and have an artificial intelligence agent in their processes  that can calculate different options and choose the best one to obtain greater productivity and yields, which is why it is essential to make a nice collection of these.

And with respect to the jobs that are replaced by this agent, he proposes training these people to be in charge of training and auditing the actions taken by the computer, “we must give them the opportunity to remain active and learn to use tools that serve them in the present and future”, he concludes.

Ultimately,  artificial intelligence should be seen as a great business ally . Having this technology is also an opportunity to transform various roles, making them less operational and more strategic.



Leave a Reply

Your email address will not be published. Required fields are marked *