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Once the province of the data warehouse team, datamanagement has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.
If you’re already a software productmanager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door.
-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. As a result, most machine learning tasks in an organization are bottlenecked on an oversubscribed centralized data science team,” Molino told TechCrunch via email.
Sure, you might get lucky and find the right person with the right skills in the right geography, but it’s not realistic to scale up and retain a larger engineering organization that way. Only the largest engineering organizations have the scale to make this kind of continuous investment. Where Did All the People Go?
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