Domino Information Lab, supplier of the main Enterprise AI Platform trusted by the world’s largest AI-enabled enterprises, in the present day introduced its Spring 2025 Launch — a serious platform replace that helps enterprises ship trusted AI merchandise sooner. The discharge introduces a unified system for productiveness, governance, and supply—turning fragmented initiatives into an AI manufacturing unit for trusted, repeatable outcomes. It additionally introduced Zero-to-AI, a brand new service providing designed to catalyze confirmed AI cultural change inside enterprises.
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AI Supply Is an ROI Bottleneck
AI implementations are scaling quick, however enterprise impression nonetheless lags. Whereas 88% of organizations say they’re higher at shifting fashions to manufacturing, practically 60% of them anticipate lower than 50% ROI, in accordance with Domino’s 2025 REVelate report.
“Getting fashions into manufacturing is now not the onerous half, it’s realizing enterprise worth at scale,” mentioned Heidi Lanford, co-founder at NavAlytix and former CDO at Fitch Group. “That requires a system that connects experimentation to ruled, repeatable supply. Domino supplies that basis.”
This shift in focus—from deployment to scaled, ruled impression—requires new infrastructure and self-discipline throughout the AI lifecycle.
“We’re redefining the AI lifecycle to make it sooner, safer, and extra environment friendly,” mentioned Nick Elprin, co-founder and CEO of Domino Information Lab. “Our Spring 2025 Launch provides enterprises an AI manufacturing unit for turning experimentation into impression — with built-in governance and automation to ship AI merchandise at scale.”
With these challenges in thoughts, Domino’s Spring 2025 Launch introduces new capabilities that reset each stage of the AI lifecycle — from experimentation to compliance to enterprise-scale deployment.
From Friction to Circulation: How Domino Is Resetting the AI Lifecycle
Increase Productiveness With out Burdening IT: Information science groups lose time to restrictive instruments and infrastructure overhead. Domino’s Spring Launch removes these boundaries with new capabilities that speed up improvement, improve reuse, and ship enterprise worth—with out including burden to IT. Groups can now:
- Speed up improvement by connecting native instruments to Domino workspaces—combining the flexibleness of acquainted environments with scalable compute, reproducibility, and enterprise-grade governance.
- Ship immediately on the final mile of AI with interactive apps that bridge the hole between technical work and decision-making, so enterprise groups act sooner on AI-enabled insights with out sacrificing governance or management.
Constructed-In Governance, Not Bolt-On Paperwork: Typical AI governance usually slows AI supply and creates guide overhead. Domino’s Spring Launch modifications that—enhancing the governance constructed into on a regular basis workflows to speed up the governance lifecycle, cut back danger, and scale with confidence. With this launch, organizations can:
- Reduce audit prep time by 70% with automated checks that observe coverage compliance in actual time—utilizing the suitable metrics, on the suitable artifacts, with out guide effort.
- Speed up mannequin validation and overview with structured findings and conditional approvals that streamline collaboration, flag dangers, and guarantee full traceability in Domino.
- Empower danger administration groups to create and handle governance insurance policies by means of an intuitive, visible builder interface that bridges danger and information science stakeholders to construct governance that goes past good intentions.
- Automate coverage enforcement by blocking untimely mannequin operation with new Gated Deployment functionality.
Management Prices Whereas Scaling AI Supply: The Spring Launch strengthens Domino’s worth for IT and infrastructure groups by serving to align AI workloads with efficiency, information locality, and price aims. Enhancements embody:
- A brand new Value Heart Dashboard to trace compute prices by consumer, undertaking, or workload. Together with Domino’s price range alerts, this new functionality helps groups forestall waste and justify infrastructure spend.
- Domino Volumes for NetApp ONTAP, now usually accessible, provides information scientists on-demand entry to enterprise information—whereas IT retains management with trusted ONTAP governance and hybrid infrastructure administration.
- Domino is now part of the NVIDIA Enterprise AI Manufacturing facility validated design, offering IT groups confidence to scale Domino’s personal AI manufacturing unit structure with NVIDIA-optimized, full-stack infrastructure.
A number of Spring Launch capabilities — together with Domino Apps and enhanced compliance workflows — debuted at Domino’s life sciences–targeted RevX occasion on Might 20. In a single life sciences use case, groups can use these newest platform capabilities to speed up medical trial recruitment by predicting affected person eligibility from giant, multi-source datasets. Such improvements can function a blueprint for scaling AI-driven breakthroughs throughout industries.
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Zero to AI: Accelerating the Path from Use Case to Impression
Domino additionally introduced Zero to AI, a brand new service providing that helps enterprises industrialize AI by fast-tracking high-impact use circumstances from pilot to manufacturing. It combines Domino’s architectural experience, implementation help, and coaching, to ship clients scalable, audit-ready AI options. With Zero-to-AI, clients get:
- Utility of Domino’s confirmed method to ship production-ready AI in report time—creating reusable foundations for future tasks.
- Template-first improvement impressed by software program engineering greatest practices, with modular pipelines, reusable code, and UIs that speed up supply.
- Audit-ready structure with versioned, testable parts that guarantee each deployment is scalable and compliant.
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