New customer service and field service research uncovers four key insights in the era of agentic AI.
![[Illustration] A manager and an AI agent review unified data in a contact centre.](https://www.salesforce.com/ap/blog/wp-content/uploads/sites/8/2025/08/Contact-Center-Trends-1500x844-2.jpg?w=300)
AI is turning the contact centre into a customer engagement centre — unifying data, knowledge, and channels.
The technology industry loves a gold rush. In the late ‘90s, companies raced to claim their piece of the “information superhighway,” stockpiling bandwidth and investing in domain names. A decade later, the mobile…
Building a data-literate workforce doesn’t happen overnight—but with the right foundation, every team can turn data into a competitive advantage.
![When humans and AI collaborate, they achieve outcomes neither could alone. [Image credit: Aleona Pollauf/Salesforce]](https://www.salesforce.com/ap/blog/wp-content/uploads/sites/8/2025/02/Human_Collaboration-1.webp?w=300)
The more you understand how AI works, and the better you communicate with it, the more you’ll get out of it.
As AI automates mundane tasks, young workers are struggling to get jobs. But AI could also be the key to landing that first role.
Early insights from our research show how design roles are shifting and where the growth opportunities are.
AI can do incredible things, but we need to guide it with clear intent to get the best results.
Four types of critical skills will help you thrive with AI to design great customer experiences.
With a data governance framework, you can take control of your data, build trust, and achieve your agentic AI goals.
