Artificial Intelligence: Is Your Company Prepared for This Revolution?

Artificial Intelligence (AI) has migrated from science fiction to laboratory experiments and now to actual business operations. Most people already find these technologies when reading product recommendations on Amazon, receiving automatic credit card fraud alerts, or asking the Google assistant to play certain music. But AI is also acting in less visible ways, such as evaluating customer scores for credit and financing, analyzing warranty claims to discover production problems, the supply chain, job classification college students and even to help the courts determine how to judge and set criminal sentences.

Companies are still in the early stages of adopting AI and learning how to get the technology to work. The challenge today is less about understanding technical issues and technological capabilities, and more about devising a strategy, determining the frameworks of practices required for "responsible AI," accelerating the shift from experiments to full-scale artificial intelligence of adoption.

Companies will need to act on multiple fronts to achieve significant benefits for the Artificial Intelligence business. The main agenda items include:


1. Formulate AI strategies: They should focus on opportunities that promise measurable value - not just reduced costs and increased revenue, but also benefits such as better customer service, entry into new lines of business, and improved employee experiences. It is especially important that the strategies have a human-centered view of AI so that the machines can work successfully on the side and for the people.

2. Developing governance structures: companies will need to work proactively to ensure that decision-making is transparent to stakeholders, that the IA gain confidence, avoiding data-driven biases and errors, and is personalized and able to provide relevant and sensitive support to the context, in a way similar to the interaction with humans.

3. Create and maintain responsible AI applications: Given its power and potential, ethical concerns with artificial intelligence need to be intertwined in everything that companies do with technology. This means building IA systems ethically and then providing supervision to ensure that these systems operate correctly over time, even when artificial intelligence applications learn and evolve. To succeed, companies will need to leverage their ethics-related efforts early on as AI increasingly touches on business and society.

In short, Artificial Intelligence operates in the real world. Companies that do not find solutions in these areas may see their IA efforts fall short of expectations or fail completely. This factor, in turn, has the potential to irritate customers, alienate employees, undermine brand reputation, and generate loss of business opportunities, causing companies to lag behind competitors in the race to unlock the company's vast business potential. artificial intelligence.

In many ways, these considerations regarding trust, transparency, ethics, and a human-centered approach are more critical and complex than those related to the development and execution of the technology itself. But they are absolutely critical to AI success, because they will determine how well those technologies can be used to drive business objectives.

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