77% of the leaders of Latin American companies identified the importance of this technology. This is due to the positive changes they produce and the acceleration of tasks.
The generative artificial intelligence (AI) promises to be a powerful catalyst for business transformation in Latin Americabut it is definitely not a panacea. Today, business leaders must consider several essential aspects to implement it, such as data governance, cost-benefit, ethical implications, as well as talent training to develop new skills.
According to the study of IBM Institute for Business Value titled “The ingenuity of generative AI”this year, company leaders have identified the potential of this technology: 77% recognized that it is necessary to adopt generative AI quickly to keep up with its competitors, moving from skepticism to confidence. In 2023, this percentage was only 36%.
artificial intelligence
Depositphotos
On the other hand, talent training is part of the strategy, according to another study. He 74% of CEOs in Latin America says that the success of Generative AI will depend more on adoption by people than on the technology itself and with this, companies are betting on working with a technological partner that empowers them and allows them to achieve the desired success.
Recommendations for using generative AI
For business leaders looking implement generative AI in your companiesthese are the 3 recommendations to consider to start:
- Change the mindset about use cases. It is necessary group the business problems and the solutions that the company has by strategy or use cases. If you are looking to obtain greater benefits, the key is in combine generative AI with the experience of collaboratorsbecoming the perfect formula for companies. Additionally, it is necessary to evaluate whether AI as a service is more cost-effective than creating an in-house solution.
- Evaluate what is honestly not working. Identifying what needs to change in the company so that work teams can effectively leverage generative AI is key. This will help bad processes are reinvented instead of automated. Along this path, it is important to analyze whether a technological ally is required to expedite the implementation of technology and preserve data security measures.
- Take smart risks. Experimenting with generative AI in low-risk areas is a good place to start approaching the technology, but ways must be found to evolve core functions as soon as possible, That is, continue working to achieve success and innovation at scale. Productivity gains that deliver an advantage today will be tomorrow’s bets.
These starting points will allow the adoption of cutting-edge technologies such as Generative AI to be implemented correctly. Furthermore, as long as the technology is open, is aimed at companies, preserves aspects such as trust and empowers organizations to adjust, train, implement and govern their solutions, as is the case with IBM’s watsonx, companies will have the peace of mind of that your data and your company will be safe.
Source: Ambito
