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diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and businessintelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.
Altrettanto importante (e forse più trascurata) è la questione dei bigdata che servono per addestrare i modelli e il costo connesso. Tuttavia, in generale, se l’IA ha lavorato sui bigdata è difficile che il risultato non sia affidabile”. Che cosa posso fare con l’IA?
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And from a business perspective, all these factors influence the company’s efficient growth.” Mark Huselid and Dana Minbaeva in BigData and HRM call these measures the understanding of the workforce quality. This situation isn’t extraordinary: managers and HR specialists of any organization have been there.
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Besides, such an approach is associated with safety risks, unaffordably big downtime, and decreased useful life of the equipment. Taking good care of your fleet assets pays off by prolonging their lifecycle, increasing efficiency, and reducing the probability of failures. Prevention is better than cure. So, what’s the alternative?
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