Systems | Development | Analytics | API | Testing

At Perforce Delphix, we have found that referential integrity is very often a deciding factor for enterprises evaluating data masking and test data management solutions. That same requirement is emerging in conversations about synthetic data, as well. Mayank Ahluwalia, Senior Product Manager at Perforce Delphix, has seen this need firsthand in his conversations with enterprise leaders.

Organizations have rapidly adopted artificial intelligence, but a stark divide is emerging: those who are embedding AI into the core of their operations, and those who are treating it as a standalone tool. According to a recent Harvard Business Review Analytic Services survey, only a small share of resondents say their organization has largely integrated AI into workflows.

Every CIO has a slide deck full of AI pilots by now. A chatbot that answers FAQs. A copilot that drafts emails. An agent that summarizes meetings and files the notes nobody reads. The demos get applause in the boardroom, the budget gets approved for “phase two,” and then largely nothing happens. The pilot quietly lives on in a sandbox, forever 80% done, forever six weeks from launch. If that sounds familiar, you are not behind. You are, statistically, in the majority.

AI-assisted builds grew 164x in a year. The rate teams ship to users fell by a fifth. Arpad Kun, VP of Engineering and Infrastructure at Bitrise, on the gap that opened up in between, and what his team built to close it.

There's a well-worn path to resumable AI chat streams: find the Vercel SDK docs, implement Redis-backed replay, and ship it. For many products, that's the right call. The challenge arises when the product goes further than that. AI customer support tools that handle complex queries over 30-plus seconds. Agents that keep working while the user switches from their laptop to their phone.

Perforce Intelligence is in its next phase to help our customers and partners get solutions, platforms, and features that bring control at every stage of the AI software development lifecycle (AI SDLC). Read about the evolution of Perforce Intelligence and new platforms and features we’ve rolled out to make AI easier to adopt for production-ready environmental needs. Back to top.