Alynne Oya, Head of AI, Luft Logistics, on promoting a culture of AI that not only differentiates companies in their sectors but also prepares them to face future challenges.
We live in an era where Artificial Intelligence (AI) has become a reality in the business environment, with affordable costs and increasingly reliable applications. According to Gartner, by 2025, more than 80% of large companies will have integrated AI solutions into their processes. This is corroborated by research from ABES (Brazilian Association of Software Companies), which shows that 72% of companies that use AI report significant gains in efficiency and productivity, while 58% see improvements in customer service and 46% notice a reduction in operating costs.
Instead of just being an addition to business processes, we must incorporate AI into the organizational culture so that it becomes an essential tool in daily tasks. This allows employees to explore new solutions and innovations on an ongoing basis. A KPMG study reveals that 73% of Brazilian business leaders consider AI to be fundamental for future competitiveness. Thus, promoting a culture of AI not only differentiates companies in their sectors, but also prepares them to face future challenges, guaranteeing a sustainable competitive advantage.
Implementing an artificial intelligence (AI) culture in a company requires solid strategic planning and commitment at all organizational levels. At Luft Logistics, to empower employees to use these tools effectively, we are cultivating a mindset that values innovation, collaboration, and continuous learning. Below, I present three essential points to guide the planning of this cultural implementation:
- Encourage the Curiosity of Experimentation
Currently, corporate media is configured as effective channels for communications. A study by BWG revealed that 54% of companies that use corporate social and communication platforms are satisfied with the results obtained, highlighting improvements in communication and team engagement. Some examples are:
Posting content: informative texts that are easy to understand. We observed that they stimulate curiosity and present the company’s direction.
Dissemination of cases: examples of people who use AI in their daily lives serve as a catalyst for the adoption of this technology by other employees.
Videos: short videos with the use of AI or about AI.
Tests: it is a fundamental tool to understand the public.
We have observed growing engagement with AI-related content across Luft Logistics’ internal and external media platforms. Analyzing the results, we notice that our employees are interested. Through research, we know what they are most familiar with. With this, it is possible to direct the next steps.
- Invest in Training and Development
An effective way for a tool to be adopted is to offer training to leaders so that they can use it with their teams. Every month, thousands of new AIs are created; choosing the most suitable ones for the teams is essential, or they will fall into disuse.
Effective artificial intelligence training for leaders should enable participants to identify organizational problems that can be solved through AI, assessing the potential gain with this technology.
It is essential that leaders understand the various tools available on the market and know how to apply them strategically in their respective contexts.
Furthermore, it is crucial that they acquire the ability to assess the level of confidence and scalability of AI solutions, considering the company’s technological maturity and compatibility with its organizational structure.
The training should also address the management of risks associated with the implementation of AI, as well as the importance of continuously monitoring the performance of these solutions and exploring alternatives, if necessary.
At Luft, we are implementing leadership training, starting with an immersion in AI tools, then a problem-solving protocol and finally guided implementation by consulting.
- Awareness of Technical and Ethical Challenges of AI
Data quality, mitigation of algorithmic biases, and information security are essential pillars for the success of artificial intelligence solutions. To ensure data quality, it is important to adopt practices that ensure accuracy, integrity, and usefulness, defining clear criteria and carrying out careful collections. This is critical to generating reliable insights.
Furthermore, it is important to address the biases that can arise in AI algorithms. Using diverse datasets and monitoring errors are effective strategies to reduce these biases, promoting fairer and more equitable decisions.
Finally, information security protects sensitive data and the reputation of organizations, being guaranteed both by legal measures and by educating employees about the ethical use of technology. The integration of these three pillars is fundamental to create a reliable and effective environment for artificial intelligence in companies.
Adopting an artificial intelligence (AI) culture is a strategic necessity for leaders seeking innovation and competitiveness. The integration of AI can generate significant gains in efficiency, productivity and customer service, highlighting companies in the market and preparing them for future challenges. Investing in team training and promoting a mindset of continuous innovation is critical to ensuring organizations thrive in the digital age. Thus, it is the ideal time to implement this cultural transformation, ensuring a sustainable competitive advantage.
