04/18/2024 | News release | Distributed by Public on 04/18/2024 06:46
Key Takeaways
A Salesforce survey of nearly 6,000 global knowledge workers suggests that AI has a data problem. Nearly 6 in 10 AI users say it's difficult to get what they want out of AI right now, with over half claiming they don't trust the data used to train today's AI systems. In fact, more than three-quarters of workers say that accurate, complete, and secure data is critical to building trust in AI.
Why it matters:Eight in ten business leaders believe generative AI will lower business costs and increase revenue. However, the majority of workers believe that trusted customer data is required for generative AI to be used successfully in their role and at their organization. This new survey indicates that generative AI outputs must be grounded in trusted data to close this gap - and reap the benefits of the technology across the enterprise.
Salesforce perspective: "The future of enterprise AI isn't about more data - it's about the right data. When AI is grounded in a company's own data, it delivers more useful results and ultimately drives greater trust and adoption."- Wendy Batchelder, SVP, Chief Data Officer
When AI is grounded in a company's own data, it delivers more useful results and ultimately drives greater trust and adoption.
Wendy Batchelder, SVP, Chief Data OfficerThe Salesforce research found:
AI lacks the data needed to be useful right now, putting adoption at risk
AI trained on unreliable data creates a serious trust gap
With good data, AI can earn workers' trust
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Methodology: Salesforce conducted a double-anonymous survey in partnership with YouGov from March 20 to April 3, 2024. It included nearly 6,000 full-time knowledge workers representing companies of a variety of sizes and sectors in nine countries, including the United States, the United Kingdom, Ireland, Australia, France, Germany, India, Singapore, and Switzerland. The survey took place online.