The emergence of Artificial Intelligence (AI) in the world is greater than that recorded by other technologies such as the use of smart devices themselves, blockchain and biotechnology, which opens an opportunity for companies to know the most effective way to incorporate it. in their operations.
This was commented by Bernardo González, Operations Director of KIO IT Services, who recalled that the application of AI in all sectors estimates an increase of up to 17% in the world economy.
Within the framework of the Never Ending Evolution event organized by the firm Needed Education to understand the scope of AI and aimed at decision makers, executives from KIO IT Services spoke about how companies can get on the AI boom not only at a level technological but also with a comprehensive vision.
In his speech, KIO shared a series of steps and recommendations to integrate AI into companies. “It is essential for all companies to start at a zero step and not only delegate the responsibility of adopting Artificial Intelligence to a single area such as data scientists,” commented Bernardo González.
High-performing organizations in AI see 1.8 times greater senior management commitment to AI strategy, according to a survey conducted by consulting firm Mckinsey & Company.
The agility of SMEs
Likewise, the KIO manager believes that SMEs can adapt well to AI with different tools in their processes, since they understand the need to include it and sometimes, larger companies have anchors from the past that make it difficult for them to understand it.
According to Gustavo Barcia, director of Needed Education, AI represents challenges that must be considered when implementing and using it, so it is important that CEOs in organizations get involved, as key players, in the adaptation of this technology. , considering that it is already a fundamental tool to achieve the strategic objectives of their organizations.
Steps to integrate AI into organizations
Take into account that AI is not only a technological change. KIO experts recommend the following steps.
- Step zero: Senior management must understand the possibilities of AI.
- Step 1. Identify use cases, not just optimization.
- Step 2. Review the process before applying AI. Question everything; eliminate the process as much as you can (the steps) to the extreme.
- Step 3. Integration of a multidisciplinary work team.
- Step 4. Evaluation of necessary infrastructure and models to be tested.
- Step 5. Data integration and preparation.
- Step 6. Brief integrations, implementation and development (Agile model).
- Step 7.Monitoring, maintenance and continuous improvements.
Editorial Team The editorial team of EMPRENDEDOR.com, which for more than 27 years has worked to promote entrepreneurship.