company optimizing with technology.
Solutions in Artificial Intelligence and Advanced Analytics
that will revolutionize the performance of your company.
manage something you
Nowadays there is a large amount of information available for your company as never before. There’s data that we can collect throughout the several stages of our production processes and that can be a very valuable resource to implement strategies and make decisions that give us better results.
Nevertheless, the main challenge of businesses is still the tools that are currently available to make use of this information and apply it in a way that allows to solve the bigger challenges of a global company and keep its competitiveness.
The companies that use data to make
decisions are, on average 5% more
productive and 6% more profitable
than their competition.
Source: Big Data Revolution HBR
clients to implement
that will allow them to:
Lower Costs: Solutions to make your company more efficient.
Increase Revenue: Through strategies that make you maximize returns.
Increase Productivity: Optimizing processes to increase production.
Manage Risks: Anticipating threats to predict risks that endanger the operations.
we develop the framework
of reference to implement the
Advanced Analytics: mplementing systems that make decision-making more efficient and faster with the use of data.
AI models: We structure Machine Learning and Deep Learning best practices to integrate next-generation technological solutions.
Control Tools: To reduce risks and make processes easier.
of public companies in the US
that already work with analytics,
have implemented AI solutions.
of Fortune 500 companies
already use smart automation
of companies consider AI as an
opportunity to increase their
Source: Forrester 2020
transformation is very simple
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We find the right solution
for your company
In recent years, the process of adaptation and integration of Artificial Intelligence in our lives has grown at exponential rates. From data visualizations to neural networks that require tons of data to predict behaviors and provide machines with humanoid characteristics, which we can see more commonly in the day to day of large companies.
This transformation creates pressure on competitors as it manages to solve problems that previously seemed impossible to solve. Some of the solutions that we can see most commonly in companies are energy efficiency, optimization of production and maintenance of machinery and even robots that talk to our customers.
When is the right time to start? Normally, the process of adopting technology within the company begins with a business need. Taking into account that there may be technologies that help us solve or make the day-to day of business better is already the first step to start the journey; this means, understanding our company. This part of the process defines the solution required to solve this problem.
The next step is data science: understanding, analyzing and preparing the information needed to feed the Artificial Intelligence models that will help us solve the problem we have. Often in this stage we realize that the company is not yet ready to start a process of technology adaptation. However, this does not mean that it has to be abandoned entirely. Normally, a data source improvement plan is worked to further develop the model.
Ultimately, when we have a working model, the deployment stage is one of the most important since it is where we integrate this model in the day-to day of our processes. This is the way added value is provided to decision makers to improve the efficiency of the company.
In our experience, no company is 100% prepared to easily adopt Artificial Intelligence, however, there is no better time than today to search for solutions that solve the problems that we have in our organization.