5 keys to improve your technological projects with Artificial Intelligence

5 keys to improve your technological projects with Artificial Intelligence

Did you know that four out of ten large companies have already introduced some kind of AI in their technology projects? The application of Artificial Intelligence in companies from different sectors is something known to us. At Datatons we have been developing technological solutions based on Artificial Intelligence algorithms that maximize business profitability for almost a decade. Our premise is clear: to help you find the most efficient and profitable way to achieve your business goals. We work with end-to-end projects. We accompany you in every step of the process, from the landing of the idea and the definition of KPIs to the achievement of results.
In our experience, any improvement in the real digital transformation of companies must first recognize the value that data brings to business. Controlling company information and performing intelligent data analysis is a strategic and necessary decision for the competitive optimization of any business, regardless of its size and sector.

Integration with AI tools

With a unique approach to each technology project, we program and implement solutions driven by machine learning algorithms. Our goal is for your company to take full advantage of the AI tools on the market to power your success. That’s why we train each model according to your business specifications, ensuring results tailored to your needs. The flexibility and scalability of our solutions make us a reliable ally to improve your productivity.

Data lake

Controlling the company’s information and applying intelligent data analysis can become the cornerstone of business development, whether improving operational or strategic processes. Based on our experience working with companies from different sectors, it is possible to achieve an increase in business profitability of around 25%.

For all this, it is necessary to create a data lake, preferably hosted in the cloud. This environment must allow the integration and application of data science and data engineering, where all the information from the operational databases can be analyzed and processed to generate valuable information that is enriched with the knowledge and specific criteria of each business.

Intelligent data analysis for your technology projects

Intelligent data analysis is based on data science and data engineering, two disciplines that work on the arrangement and integration of multidisciplinary information of a company. In this analysis, the crossing of information comes into play to generate all possible indicators and direct them with human intelligence and business experience in order to have the right vision for strategic decision making in any area of the business.

The expert treatment of data is used in Business Intelligence tools that facilitate the visualization and understanding of information. It is important not to confuse the development of KPIs in a dashboard with data from a single operational database such as an ERP, which is common in most companies. The key to applying Business Intelligence from a data lake is that it is possible to perform an automated self-service generation of KPIs and reports from all areas of the company. In this way, the generation of specific reports through IT departments is left behind. Something that produced waiting time and loss of IT focus on the core business of the company. Success in any technology project requires a focused and expert corporate culture, aligned with the company’s overall strategy.

Keys to improve your technology projects

There are multiple applications and use cases, but the main benefits of this intelligent data analysis are the following:

Improved strategic decision making 2.

The need to make quick and informed decisions is of vital importance. Bearing in mind that the returns on investment must be well defined and bounded in the medium/short term for a successful implementation.

2. Value and on-demand reporting

We leave behind the generation of customized and ad hoc reports by the IT team. Thus, the time of this department is focused on actions of value for the core business, achieving time savings and greater competitiveness in the market.

3. Automation or improvement of RPA processes

Any activity that involves an information treatment process can be improved with the application of AI. This means that it helps to automate document management and interpretation tasks by applying generative artificial intelligence algorithms.

4. Predictive analytics and trend reading

Through the cross-referencing of information and the design of predictive algorithms we can read behaviors and trends that give us the ability to make decisions based on solid data, which translates into a competitive advantage.

5. Improving the profitability and productivity of your technology projects.

Our main focus is to ensure that you get a quick and concise return on investment. We work closely with you to identify the critical areas that require optimization.

At Datatons we ensure a scalable structure and the adaptation of cutting-edge technology to your specific project, with guaranteed profitability and success, optimizing your company’s resources.

The applications of AI are multiple and thanks to our extensive experience we know that to take them to success it is necessary to have a thorough knowledge of the business, enough creativity to land the idea and identify concrete and measurable solutions bounded in time for each project.

Only the trends of each sector will mark the needs in this area, from Datatons we are convinced and prepared for everything that is yet to come. Find out more about our technological solutions. If you have a project that you want to boost with AI, book a no-obligation consultancy.