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An Analytics Translator enables the execution of your company’s AI strategy. Data engineers are good at developing robust applications. Data scientists are good at distilling intelligence from data. Business teams know their specific processes, habits, and work-arounds like no other. Still, there is a gap between data experts and business. Translators bridge it by solving three business problems for you.
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The Analytics Translator Part 1: Delivering Business Value with Data and AI
Many organizations have not seen return on their investment after developing their data and AI capabilities. It’s imperative to account for all of the phases of an AI solution life-cycle. Find the right business problems to solve in the Ideation phase, discover if there is a viable business model during an Experimentation phase, and scale up in an Industrialization phase.