{"id":9440,"date":"2024-04-18T05:05:31","date_gmt":"2024-04-18T12:05:31","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=9440"},"modified":"2024-04-18T23:10:28","modified_gmt":"2024-04-18T13:10:28","slug":"data-for-ai","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/au\/news\/stories\/data-for-ai\/","title":{"rendered":"How Data, Trust, and Contextual UX Deliver AI Success"},"content":{"rendered":"\n

Artificial intelligence is the most promising technological disruption of our lifetimes, and will significantly affect every aspect of business operations, from sales and service to marketing, finance, legal, and human resources. Yet, even with global corporate investment in AI set to hit $200 billion by 2025<\/a> and generative AI<\/a> making astonishing progress in the last year, I\u2019m hearing from many company leaders that they lack clarity on how to get from pilot to full production and value realization.\u00a0<\/p>\n\n\n\n

While three-quarters of workers surveyed in the recent \u201cYour Data, Your AI\u201d survey<\/a> from Salesforce believe accurate, complete, and secure data is critical to building trust in AI, more than half do not trust the data used to train AI systems today. And nearly 60% of AI users worldwide find it difficult to get what they want out of AI, the report found.\u00a0<\/p>\n\n\n\n

But there\u2019s good news. Working with early adopters, we\u2019ve learned there are three ingredients needed for AI success: a data foundation, an AI trust layer, and contextual UX workflows. By deploying these together, companies across industries and geographies, like AAA<\/a>, ADP<\/a>, and Turtle Bay<\/a>, are unlocking enterprise deployments at scale and driving measurable outcomes from AI automation, personalization, and performance optimization, including higher sales productivity, faster customer service resolutions, higher-conversion marketing campaigns, and more.<\/p>\n\n\n\n