Admins are blazing incredible new trails with Lightning Experience every day: building new apps, automating businesses, and creating new careers. We’re excited to bring you three new #AwesomeAdmin Lightning Stories!
Our new videos of Lightning trailblazers highlight what they love most about Lightning Experience. Susan enjoys being able to change the views within Kanban to better suit her users. Misty rolled out Lightning Experience because of features like the Assistant that keep her team efficient and organized. And, Steve’s favorite part about Lightning is the user experience. In Lightning, records are no longer flat, they are a workspace for users to interact with and explore.
Take a look:
Take advantage of the many opportunities in the ever-growing Salesforce ecosystem by learning Lightning. Salesforce is the 7th most in-demand software skill, and Salesforce Admin is currently the #4 top job in the United States. Over 2 million jobs will be created for Salesforce professionals in the next 5 years. Do you know what that means? There is no better time to be a Salesforce Lightning Admin!
Do you have a Lightning story? Share it with us!
Out of the box, Agentforce provides Salesforce Admins with a plethora of AI models to work with from leading vendors like Anthropic, OpenAI, and Google. When using tools like Prompt Builder, admins can select these models specifically to see if different models achieve different results. While they typically produce fairly similar results, newer or larger […]
This blog is written by Jennifer Lee in collaboration with Jeremiah Peoples, Staff Developer Advocate at Slack. As Salesforce Admins, we’re all about creating incredible user experiences and driving efficiency for our business. But one of the biggest blockers we can help solve is that dreaded swivel chair. It’s a modern work challenge. You know […]
If you’re a Salesforce Admin, you know your job isn’t just about managing data—it’s about making the business run better. You connect the dots, automate the busy work, and turn ideas into systems that scale. That means figuring out how to make AI actually useful at work. But the moment you try to put it […]
