Domino Data Lab

75% of orgs with integrated AI governance report faster delivery velocity. Can you defend every model and agent before an examiner asks? Inside Domino, stage-gate workflows enforce stage approvals automatically. Audit trails captured. Code versioned. Model inventory unified. Same workflow. Audit-ready evidence. Blog: https://hubs.ly/Q04qNQg10

AI can accelerate intelligence. But mission success still depends on the human edge. Join Domino Data Lab on August 19 for AI, National Security and the Human Edge, a conversation on AI-enabled intelligence, human-machine teaming, and how to build trusted AI systems for mission-critical environments. Featuring Chris Elsins, GVP, Public Sector at Domino, and Emily Harding, director of the Intelligence, National Security and Technology Program at the Center for Strategic and International Studies. 📅 August 19, 2026 | 1-2 p.m. ET 👉 Register now: https://hubs.ly/Q04qNRvx0

Nearly all enterprises improved production this year. More than half still say ROI is flat. Domino closes the gap: governed AI apps, built from your infrastructure, no engineering handoff. Read The Fifth Annual Domino Enterprise AI Report to learn what's holding back enterprise AI for many, and driving it forward for others. 🔗https://hubs.ly/Q04qND_p0

Domino Data Lab is sponsoring BioTechX USA 2026. We will be at the Hynes Convention Center, September 29-30, in a room with 1,500+ leaders from across biotech, pharma, AI, and precision medicine. This is where the future of healthcare gets built, and we are proud to be part of making it happen. Register now! https://hubs.ly/Q04qNC500

41% of orgs scale agentic AI without governance, yet fully governed teams are 3.9x as likely to move agents responsibly into full use across orgs. In ComputerWeekly.com, Adrian Bridgwater breaks down why governance drives delivery speed. Article: https://hubs.ly/Q04qNvWc0

75% of orgs with integrated AI governance report faster delivery velocity, according to a new survey (link in comments). Can you defend non-deterministic model behavior to risk auditors? Inside Domino, audit trails log full trajectories and version every prompt. Input data mapped. System environments pinned. Model versions locked. Same agent. Auditable bounds. Whitepaper: "Trusting What You Built" 🔗 https://hubs.ly/Q04qMy1C0

Global AI spend is hitting $2.5T, but Forbes warns of a $383B "yield crisis." The culprit? Rushing agentic AI without guardrails. Domino Data Lab's new report shows 41% do this—yet strict governance actually boosts delivery speed by 75%. (link in comments) https://hubs.ly/Q04qJ1_H0

93% of enterprises improved AI production, but 57% say ROI remains flat. In diginomica, Stuart Lauchlan breaks down the 5th Annual Domino Enterprise AI Report—and why governance boosts delivery speed by 75%. Read the article: https://hubs.ly/Q04qCZqv0

Deploying a model and delivering its #value to the people who need it are not the same thing, and for most #enterprises, a wide gap separates the two.   "Getting a model into production used to be the milestone that mattered," said Thomas Robinson, COO at Domino Data Lab. "Our #research shows that's not enough anymore. The real milestone is the moment a #business user can act on what the model found, and for too many enterprises, that moment still isn't happening at the pace or scale of business, and with the #governance regulated industry requires."   #ROI tells a sharp regional story. North American organizations are markedly less likely to report ROI stuck at the same level as #investment or lower: 51.1% in #NorthAmerica, 66.9% in the #UK, and 67.0% in #Europe.   Read more: https://lnkd.in/dyjq_tPQ

Domino Data Lab Report Finds 57% of Enterprises Still Struggle to Achieve AI ROI Despite Production Growth 📎 Domino Data Lab has released its Fifth Annual Enterprise AI Report, revealing that 57% of enterprises continue to see AI investment outpace returns, a figure unchanged since 2025. Despite ongoing challenges in generating measurable business value, AI adoption maturity is increasing, with 93% of enterprise AI leaders reporting improved production capabilities in 2026 compared with 88% last year. 📎 The report highlights a growing "last-mile gap" between deploying AI models and enabling business users to act on their insights. While expanding agentic AI capabilities remains a top priority for enterprises, governance remains a major challenge, with 41% of organizations piloting or scaling agentic AI without adequate governance frameworks. Companies with fully integrated AI governance were significantly more likely to achieve governed AI deployment and improved delivery velocity. 💬 "Getting a model into production used to be the milestone that mattered. Our research shows that's not enough anymore. The real milestone is the moment a business user can act on what the model found." – Thomas Robinson, COO, Domino Data Lab 💬 "A significant share of enterprises still can't get AI-generated insights to the people who need them, and the ones with governance built in from the start are far more likely to get agentic AI to that point safely." – Shawn Rogers, CEO, BARC US #DominoDataLab #ArtificialIntelligence #GenerativeAI