More and more companies are turning to AI-powered technologies to close data insight gaps and improve decision-making capabilities in time-critical, high-pressure situations. These technologies include a wide range of tools such as virtual assistants, virtual and augmented reality, process discovery, task mining, and a suite of data analytics and business intelligence platforms. Recently, there has been a lot of interest in generative AI or large-scale language models, a whole class of algorithms that can take in and make sense of vast amounts of data, such as text, numbers, software code, images, videos, and mathematical formulas. Create probabilistic structures and create summaries, answers, simulations, and alternative scenarios based on these data. This article discusses his three key questions that decision makers face when using these technologies. 1) In what situations can AI decision-making technologies be beneficial? 2) What are the challenges and risks of using these technologies? 3) Business leaders should: How can you effectively benefit from these technologies while mitigating risks?
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