In recent years, Artificial Intelligence (AI) has become one of the most discussed topics in the world of business and technology.
However, amidst all this enthusiasm, a worrying question arises: to what extent has the use of AI been guided by clear and strategic objectives? Many companies are investing in AI simply because it is the “trend of the moment”, without a clear purpose or an in-depth analysis of the return that this technology can bring.
The “novelty” trap
Technology, in and of itself, should never be the end, but rather the means to achieve specific goals. However, the pursuit of technological buzz often leads companies to adopt AI solutions without considering fundamental factors, such as:
- Real applicability to business: Not every problem needs AI; some issues can be solved with simpler and more effective methods.
- Lack of structured data: Investing in AI without quality data is like building a house without a foundation.
- Unnecessary costs: Poorly planned AI implementation can consume financial and human resources without delivering tangible value.
Many organizations fall into the trap of using AI for superficial or irrelevant tasks, simply to convey an image of “innovation.” While this may impress in the short term, it rarely translates into lasting benefits.
AI with purpose: the real difference
For AI adoption to have a real impact, it needs to be used with clear objectives and aligned with organizational goals. The greatest gains come from its strategic application in areas such as:
- Operational efficiency: Automation of repetitive processes, cost reduction and resource optimization.
- Profitability: Increased revenue through product customization, demand forecasting, and improved customer experience.
- Data-driven decision making: Using predictive models to guide strategies and minimize risks.
A good example is the use of AI in supply chains, where algorithms help predict demand, optimize inventory, and reduce waste. This not only improves financial results but also strengthens the sustainability of the business.
Conclusion
Artificial Intelligence should not be treated as a technological status symbol, but as a powerful tool to achieve efficiency and concrete results. Adopting AI without a clear purpose not only wastes resources, but also significantly slows down digital transformation.
At eTrack, AI is used consciously, with a clear purpose: to deliver operational efficiency in people management and in the use of blood collection materials. With intelligent and data-driven solutions, eTrack helps healthcare organizations optimize resources, reduce waste and ensure quality care, uniting technology and purpose in a sustainable and profitable way.