CRM

User experience (UX) design is undergoing its biggest transformation since the internet. I have spent 20 years designing interfaces and have gone through several paradigm shifts. But nothing has prepared me for the dramatic changes we’re experiencing today.  We’ve entered an era where multiple AI agents coordinate with one another to accomplish user goals. We’re […]

You’ve probably noticed many people around you doing something a little extra these days. Your neighbor walks dogs on her spare time, your co-worker sells crafts online, and your cousin somehow became a weekend photographer. This is the beauty of the side hustle.  With rising costs and economic uncertainty, having multiple income streams just makes

[Image credit: Kai Johnson / Salesforce] After three years working in recruiting, Kai Johnson knew it was time to try something new – she wanted more opportunities to help people of color build meaningful careers in tech. So she spoke up, designed a role, and pitched it to her leadership team. As Director of Executive

AI agents are transforming how businesses operate — automating workflows, enhancing user experiences, and scaling support. But without a strong security foundation, generative AI (GenAI) agents can introduce serious risks, from data exposure to unauthorized behavior. To help mitigate these risks, Agentforce, the agentic layer of the Salesforce Platform for deploying autonomous AI agents across

Have you ever interviewed with a company and just wanted to ask an employee your burning questions? Like: What do people wear in the office? How does this company support working parents or caregivers? What’s the experience like as a new grad? Good news: here at Salesforce … you can. While everyone has a unique

Time series forecasting plays a central role in data-driven decision making. Yet, adapting forecasting models across different domains and temporal resolutions often requires custom engineering. This increases both development and maintenance costs — especially for large-scale enterprise systems with many users and use cases. These challenges motivated our universal forecasting paradigm, which began with the

In our last article, we explored  what it takes to scale an AI agent from a simple demo to a production-grade system. Spoiler alert: vibes won’t get you there. Shipping a robust AI agent is a formidable systems engineering challenge, demanding expertise far beyond linking an LLM to a vector database. But for those who

Scroll through tech Twitter, and it’s easy to feel like we’re on the brink of a no-code, all-AI future — one where IT teams are outpaced by autocomplete and replaced by chatbots that “just build the app.” But talk to the people actually managing enterprise app development — and the conversation shifts. It’s not, “Will