CRM

How We Use Data Detect to Secure the Heart of Salesforce

Key Takeaways Salesforce acts as “Customer Zero,” stress-testing its own tools within massive internal environments. Data Detect automated the discovery of sensitive data across billions of complex records. Internal feedback loops directly drove critical upgrades to product stability, UX, and roadmap features. This summary was created with AI and reviewed by an editor. At Salesforce, […]

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Can Language Models Remember What They Learn?

Post-training methods (RLVR, On-policy distillation) are Episode-local Language models are getting better at learning from feedback during post-training. In reinforcement learning with verifiable rewards (RLVR), a model tries a problem, a verifier checks the answer, and the policy is updated based on the scalar reward. Recent self-distillation methods go further by using feedback or successful

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From the Farm to Flows: How One Trailblazer Built a Tech Career from Scratch

“If you had told me five years ago that I’d be sitting in front of a computer, building complex automation flows and rolling out AI agents, I wouldn’t have believed you,” says Kacie Molina, a 10x certified Salesforce Admin, Consultant, and self-proclaimed “Flownatic.” While she now spends her days building powerful Apex actions and deploying

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5 Common Architectural Mistakes in Salesforce Implementations

Many Salesforce implementations start with the right intent, but over time, architectural shortcuts, unclear decisions, and evolving requirements can lead to fragile systems that are difficult to scale, maintain, or extend. If you’ve ever dealt with inconsistent user experiences, performance bottlenecks, brittle integrations, or overcomplicated automation, you’ve likely encountered the downstream effects of poorly considered

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