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Brianna White

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Staff member
Jul 30, 2019
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The conversation about applying artificial intelligence (AI) in businesses has shifted dramatically
Not that long ago organizations were being urged to ‘just get started’ – to set up a dream team of data scientists and protect them from the rest of the company, letting them get on with developing proofs of concept and allowing them to fail or succeed fast.
Those carefree days are over. The time has come to operationalize AI across organizations at scale and to start deriving clear business benefits, including improved customer service and ROI from time and money already spent. Beyond that, the pandemic has undoubtedly accelerated digitalization – compressing years into months – and data-first, AI-enabled organizations are the ones that are going to succeed in the future.
In a way, AI needs to become boring. It needs to become an unnoteworthy part of the fabric of any organization. It should be a foregone conclusion that AI is integrated into a business’ operations. We’re a long way off this. However, much of the extant conversation around operationalizing AI has looked at data strategies, partnerships, and ethical frameworks around scaling. All of these are of great importance but they’re missing the most important ingredient to ensuring technology uptake: humans.
Continue reading: https://technative.io/lets-make-ai-boring/
 

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