Generative artificial intelligence (AI) is transforming key sectors such as finance and human resources, enhancing efficiency and personalization through AI agents.
AI agents are preconfigured systems that automate and optimize critical tasks in industries like banking and retail. Companies are increasingly adopting this technology to improve agility and operational efficiency.
Unlike traditional automation, which relies on predefined rules, generative AI empowers machines to generate meaningful ideas and responses. According to Sandra Daza, IT Architecture Director at Oracle Mexico, this technology allows for real-time data interaction, predictive analytics, and actionable recommendations.
Financial services and retail are leading the charge in AI adoption, driven by the need for customer personalization and operational efficiency. In recruitment, AI agents can significantly reduce hiring times by identifying ideal candidates through predictive analysis. In supply chain management, they predict equipment failures and suggest preventive maintenance, while in finance, generative AI optimizes inventory forecasts and provides timely recommendations.
As more businesses embrace generative AI, concerns about privacy and infrastructure arise. To address these issues, technology providers are offering models that maintain data privacy and ensure customer information is not mixed with public systems.
Looking ahead, the expansion of AI agents is expected to be a key driver of global productivity over the next decade. Traditional sectors like manufacturing and public services are also beginning to explore the potential of generative AI.