Domino Data Lab

With federal AI regulation unlikely anytime soon, agencies and businesses are turning to the NIST AI Risk Management Framework. As Domino Data Lab President of Public Sector Joel Meyer notes, NIST’s work could shape the future of U.S. AI policy. Read why experts say NIST is the guide for AI governance today: https://lnkd.in/gRRKZaha #AIStandards #PublicPolicy #ResponsibleAI"

The Bureau of Labor Statistics predicts that Data Scientists will be one of the fastest growing jobs over the next 10 years. At Domino Data Lab, we agree. In order to usher in a new era of impactful AI and data science, it will require experts with an understanding of technology, statistics, and use-case appropriate applications of AI. AI and data science without experts is at best slop and at worse, a significant risk to organizations. https://lnkd.in/ebxTaDEp

Audit trails are critical for compliance—but preparing for audits can be complex. Our latest Domino blog highlights how Domino Audit Trail simplifies compliance for highly regulated industries: 📂 Centralize and search all project activity for accurate, immutable audit records. ✅ Streamline audit prep with end-of-study trails—no custom APIs required. 🔗 Learn more and see the demo: https://lnkd.in/g4R-AdiP #AIGovernance #Compliance #datascience

Domino Data Lab: An Emerging Leader in the 2024 Gartner® Innovation Guide for Generative AI Technologies. We're excited to announce that Domino Data Lab has been recognized as one of the Emerging Leaders in the 2024 Gartner Innovation Guide for Generative AI Technologies! As stated by Gartner, “Technology leaders can use this high-level guide and accompanying Emerging Market Quadrants to explore the vendor landscape.” We're proud to be recognized for our commitment to empowering organizations to build, deploy, and manage AI models effectively. Why choose Domino? 1️⃣ Scalability and Flexibility: Adapt to your evolving AI needs. 2️⃣ Governance and Control: Ensure responsible AI development. 3️⃣ Proven Track Record: Delivering business value through AI for over a decade. Gartner clients can access the full report here: https://lnkd.in/gX4mWGAw

Outdated governance processes are slowing AI innovation, threatening breakthroughs in life sciences, finance, and national security. AI models can wait 5-7 months for approval, risking decay or obsolescence. As Domino Data Lab's COO Thomas Robinson explains in Forbes, organizations must modernize governance frameworks to achieve AI’s full potential while ensuring compliance and managing risk. Learn how integrating governance into AI development can accelerate innovation without sacrificing control. https://lnkd.in/gryFiEcW #AIGovernance #MRM #AILaw #EUAIAct

The Department of Defense is tackling complex challenges to integrate AI: managing vast amounts of data, ensuring ethical use, and aligning AI-driven decisions with mission-critical goals. Domino Data Lab's Joel Meyer highlights a key need: AI must seamlessly aggregate fragmented data to power faster, safer decision-making on the battlefield. Learn how experts are shaping AI’s future in defense in this USA TODAY feature. https://lnkd.in/gmx--Ecg (click on Monday 12/16 and find p. 42)

In 2025, well-tuned LLMs will let banks answer complex questions—like identifying loans tied to unstable regions—in seconds instead of weeks. This Financial IT article features 2025 predictions from Domino Data Lab FSI Strategy VP Michael Upchurch: 🔹 Why agentic AI adoption will be delayed by new regulations. 🔹 How scaling AI governance will unlock innovation despite increased risks. 🔗 Read it here: https://lnkd.in/gwbyAUSc #AIinBanking #UnstructuredData #AIInnovation

🎙️ New Podcast Episode: A Collaboration with Ethical Machines 🎙️ What’s the difference between AI ethics and AI governance? How should enterprises approach genAI governance? Reid Blackman, Ph.D., CEO of Virtue Consultants and Nick Elprin, CEO of Domino Data Lab, tackle these questions in a special crossover episode. Tune in for insights on evolving challenges, intertwined solutions, and bold predictions for AI’s future. 🔗 Listen now: https://lnkd.in/gxu_VfH2 #AIGovernance #EthicalAI #DataScienceLeaders

I've spent the last 9 months speaking with Domino Data Lab customers to learn about their challenges balancing governance with AI acceleration. To a person, it's clear there is an urgent need for overhaul and modernization of model validation and risk management processes and technology. Without that, we will fail to achieve the business -- not to mention societal -- benefits we expect from AI. I've summarized some thoughts here on some approaches that are working: https://lnkd.in/eAuA6-yA

We’re proud to announce that Domino Data Lab has been recognized in 10 Gartner® Hype Cycle™ reports in three categories: Machine Learning, Operational AI Systems, and AI Engineering in 2024. To read more about Domino in AI, you can access the report below: Gartner Hype Cycle for Artificial Intelligence, 2024 https://lnkd.in/gA6C3Kig Gartner clients can access more reports with Domino Data Lab mentions: Gartner Hype Cycle for ITSM, 2024 Gartner Hype Cycle for Infrastructure Strategy, 2024 Gartner Hype Cycle for IT Management Intelligence, 2024 Gartner Hype Cycle for Operation Models, 2024 Gartner Hype Cycle for Managing Operational Technology, 2024 Gartner Hype Cycle for Infrastructure and Operations, 2024 Gartner Hype Cycle for AI in Software Engineering, 2024 Gartner Hype Cycle for Data, Analytics and AI Programs and Practices, 2024 Gartner Hype Cycle for Finance AI and Advanced Analytics, 2024