Data science and artificial intelligence: The pillars of business

In the following sections, we analyze what the key points are regarding this. We discuss the importance of data science, explaining some of the benefits it will bring to your company. Additionally, we explore how artificial intelligence is changing the way data is leveraged.

Why is data science so important today?

Data is becoming increasingly valuable. With it, companies can improve their internal operations, interact better with their customers, and make more informed decisions. However, not all organizations in the market work on this aspect. If your business falls into this category, why should you consider making the leap into data science?

Before answering this question, let's talk about what data science involves. Essentially, we can divide this concept into three fundamental actions:

• Data Extraction: Data science includes the action of extracting useful information from the data generated by a company during its activities. These data can be related to various aspects of the business, such as industrial machinery statistics, employee performance, or customer relationships.
• Data Processing: In this step, data science seeks to organize, clean, and process all the information extracted from different areas of the company. This is achieved with human intervention but also with artificial intelligence solutions, which we will explore later.
• Application of Data: Finally, the data is transformed into reports, statistics, and graphs that help department heads or the management team make better decisions.

Taking into consideration these three points, it is evident that data science has become increasingly crucial for all types of businesses, from SMEs to large corporations. Companies that do not take advantage of data science operate in the dark, making often erratic decisions and suffering significant economic losses.

In contrast, data science sheds light on decisions. It helps steer the company accurately and apply necessary changes as soon as possible to avoid flawed strategies. There are various fields where data science can be applied, and here are three of them:

• Detection of Inefficient Processes: By addressing them, costs are saved, and productivity is improved.
• Identification of Opportunities: Data science facilitates opening the company to new markets with services and products tailored to the market.
• Improvement of Customer Experience: Data can reveal patterns and trends related to customers, allowing decisions focused on enhancing their experience.

Fortunately, this technique is becoming more accessible, enabling even smaller companies to access it and derive greater benefits.

Artificial intelligence takes the lead in data science

Now that you know what data science is, what generic steps it includes, and how it can help improve your company's operations. It's time to see how artificial intelligence is taking the reins of this business technique to make it even more effective.

Let's discuss several aspects that highlight the positive impact of AI on data management and utilization within companies.

Embedded analytics

Artificial intelligence enables the integration of analytical capabilities directly into applications and systems, facilitating real-time decision-making and providing access to advanced analytics without the need for external tools. This makes data science accessible to all employees, regardless of their knowledge in the field. In this way, the information obtained through data processing becomes valuable for all members of the company, regardless of their operational area.

Process automation

Artificial intelligence algorithms can automate tedious tasks, such as data cleaning, saving time and reducing human errors. Furthermore, when the data has already been processed, it's possible to carry out subsequent tasks without human intervention.

In this way, artificial intelligence not only enables machine learning based on the company's data but also takes appropriate actions based on the results obtained. This eliminates human intervention when a deeper exploration of the data is not necessary, streamlining processes and increasing organizational productivity.

More efficient processing

Artificial intelligence allows for the analysis of large datasets more efficiently and quickly, revolutionizing the information processing capacity in data science.
However, artificial intelligence doesn't just process data faster. It also allows for scaling when datasets increase in size and handling all kinds of unstructured data, from text to images.

Predictive Analytics

There is no AI that predicts the future. However, artificial intelligence algorithms, such as neural networks, can predict future events based on historical data, allowing businesses to anticipate decisions.

SEIDOR is your partner for data science and AI implementation

Data science and artificial intelligence are changing the way companies work with information. The solutions that appear on the market are becoming more universal, allowing for efficient data processing in various sectors.

At SEIDOR, we have been helping dozens of companies improve their processes and decision-making for decades through data science. Contact us now and let our team of experts advise you. Discover the best artificial intelligence and data science solutions available for your business.