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teams and offices are widespread . Ultimately this leads to a disconnect between the data collected and the actionable insights delivered to employees across the organization , leading to uninformed decision-making , poor product innovation , lost opportunities , and decreased revenue and profitability .
To avoid these kinds of problems and siloed information , food and beverage companies must democratize access to market research and insights and put this knowledge into the hands of employees . This formula has been Stravito ’ s ultimate goal since its inception , and with generative AI capabilities the process capable versions of themselves . of insights democratization is accelerated . It
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gives increased agency to employees and Is there anything else you ’ d like to add ? saves thousands of hours each year looking for In order to use generative AI responsibly and information , eliminating redundant research efficiently , leaders need to take the time to learn projects , and increasing knowledge sharing about it . They need to learn not only about how within the organization .
QLooking ahead , what do you think is next for the food and beverage industry ? Generative AI remains in its early stages of development , which is why executives should approach the tool with thoughtful research and take time to educate themselves and their teams . The food and beverage industry is in a unique position to accelerate consumercentricity and impactful decision making organization-wide with the increased insight generative AI can provide . Still , implementing AI simply for the sake of using the technology , without a clear purpose , may lead to inefficient resource allocation and limited return on investment . That said , it is our strong belief that generative AI will eventually become a fully integrated aspect of the tech stack for the food and beverage industry , enabling brands to be the most efficient and
it works , but also the benefits and pitfalls – they need to understand and be part of outlining how it should be used within their organization . You cannot escape that kind of due diligence if you want to use generative AI responsibly . ■
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