{"id":6006,"date":"2023-06-12T05:00:00","date_gmt":"2023-06-12T12:00:00","guid":{"rendered":""},"modified":"2023-06-12T05:00:00","modified_gmt":"2023-06-12T12:00:00","slug":"ai-history-salesforce","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/in\/news\/stories\/ai-history-salesforce\/","title":{"rendered":"Unleashing an AI Revolution: Inside Salesforce\u2019s Decade-Long Journey"},"content":{"rendered":"\n

Editor\u2019s Note: AI Cloud, Einstein GPT, and other cloud GPT products are now Einstein. For the latest on Salesforce Einstein, go <\/em>here<\/em><\/a>.<\/em><\/p>\n\n\n\n

When Sarah Aerni successfully trained an AI model to correctly label worm cells for her dissertation, she realized two things. First, that it’s really exciting when a model works precisely as it’s supposed to, and second, that an AI model should solve a clear problem. For example: no human should have to hand label 959 worm cells in microscopic images.<\/p>\n\n\n\n

In a business context, it\u2019s surprisingly not that different. How many menial or time-intensive tasks do employees get stuck doing where AI can help augment human intelligence and create efficiencies that weren\u2019t possible before?<\/p>\n\n\n\n

Aerni, now VP of AI & Machine Learning at Salesforce, joined the company in 2016 to address this and other very clear problems: deploying AI models that could deliver significant business benefits to customers and employees in a trusted and secure way.<\/p>\n\n\n

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Sarah Aerni, VP of AI & Machine Learning at Salesforce<\/figcaption><\/figure>\n
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