Digitisation Needs More Implementation of Artificial Intelligence and Big Data

Artificial intelligence (AI) and big data are two key technologies in the current era of digitalisation. Both are essential for processing large amounts of data, extracting valuable information, and improving decision-making. However, despite their potential, the implementation of these technologies remains low in many companies, which slows down the digitalisation process, according to reports such as the one from The Valley’s 2nd Observatory on Digital Education.

According to a recent study, only 28% of Spanish companies use artificial intelligence and big data effectively. This means that the vast majority of companies have not yet adopted these technologies or are not using them to their full capacity. This lack of adoption and effective use of AI and big data can have serious consequences for the digital transformation of companies.

One of the main reasons for the low implementation of AI and big data is a lack of understanding of how they work and their benefits. Many companies do not know how to apply these technologies in their business processes or how to integrate them into their business model. In addition, lack of education and training can also be a barrier to effective adoption of AI and big data.

Need for investment

Another factor contributing to the low implementation of AI and big data is the lack of investment. Many companies do not have the financial resources to invest in cutting-edge technologies and, as a result, cannot afford to hire specialised staff to implement and maintain these technologies. Lack of investment can also be a factor preventing the adoption of AI and big data in smaller companies.

Low implementation of AI and big data can also be the result of a lack of collaboration and communication between departments. In many companies, AI and big data are implemented by a specific department, but are not adequately communicated with other departments, making it difficult to integrate these technologies across the organisation. Lack of collaboration and communication can lead to a lack of adoption and effective use of AI and big data.

Consequences

Low implementation of AI and big data has significant consequences for the digital transformation of enterprises. Without these technologies, companies may miss out on business opportunities and may not be able to compete with other companies that do use them. Companies that do not use AI and big data may not be able to make the most of the information available to them, which can impact their ability to make informed decisions.

For businesses to fully realise the potential of AI and big data, the barriers to their adoption and effective use need to be addressed. Companies need to invest in education and training for their staff, and to collaborate and communicate appropriately across departments. In addition, companies must also invest in cutting-edge technologies and hire specialised staff to implement and maintain these technologies.