<figure><img src="https://assets.bwbx.io/images/users/iqjWHBFdfxIU/iVMQGt2Uu6vc/v6/-1x-1.png"><figcaption><div></div><div></div></figcaption></figure><p>AI&#x2019;s expansion into enterprise use is exposing a gap between rapid prototyping and reliable deployment across the organization. Domino Data Lab CEO Nick Elprin joins Bloomberg Intelligence senior software analyst Sunil Rajgopal to discuss how model-driven organizations are putting AI to work in core-business settings, where governance and standardization are essential. As coding assistants enable domain experts to build full-stack analytics applications, &#x201C;basic SaaS applications are pretty seriously threatened right now,&#x201D; Elprin says. The conversation also explores why human-in-the-loop systems are still essential and how companies manage fragmentation risks as agentic AI evolves.</p><p>Listen to this episode on <a href="https://podcasts.apple.com/us/podcast/tech-disruptors/id1621165150" title="Link">&lt;meta itemprop="type" content="WebLink"&gt;Apple Podcasts</a> and <a href="https://open.spotify.com/show/6QKfhaSqvs84PvWiHV3Vdr" title="Link">&lt;meta itemprop="type" content="WebLink"&gt;Spotify</a>.</p>

AI’s expansion into enterprise use cases is exposing a gap between rapid prototyping and reliable deployment at scale. Domino Data Lab CEO Nick Elprin joins Bloomberg Intelligence senior software analyst Sunil Rajgopal to discuss how model-driven organizations are operationalizing AI in mission-critical environments, where governance and standardization are essential. As coding assistants enable domain experts to build full-stack analytics applications, “basic SaaS applications are pretty seriously threatened right now,” Elprin says. The conversation also explores why human-in-the-loop systems remain critical and how enterprises manage fragmentation risks as agentic AI evolves.

Tech Disruptors: Domino Data Lab CEO on Scaling AI to Production

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