We were humbled by the packed room at our "Defining, Managing, and Automating your AI Governance Operations" workshop! Thanks to Reuters Events #FOIUSA24 and the captive participants for making this session a success. AI governance and more extensively, model governance processes require shared ownership among business, tech, and risk teams. As our participants learned, acting on modeling projects and delivering evidence of those actions requires transparency and continuity among all modeling stakeholders. One of the topics covered was automation. See what participants discovered: https://hubs.li/Q02yWwrM0
About us
Monitaur is an AI governance software platform helping companies build, manage and automate responsible and ethical governance across consequential modeling systems. As companies accelerate their use of big data and AI to transform their business and services, they are increasingly aware of the operational, regulatory, financial and legal risks involved. Monitaur provides customers with a comprehensive and turnkey solution for model risk management and governance that spans policy to proof. Its software establishes a system of record for model governance where cross-functional stakeholders can align and collaborate to build and deploy AI that is fair, robust, transparent, safe and compliant. Founded in 2019 by a team of deep domain experts in the areas of corporate innovation, machine learning, assurance, and software development, Monitaur is committed to improving people’s lives by providing confidence and trust in AI.
- Website
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https://www.monitaur.ai
External link for Monitaur
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Boston, MA
- Type
- Privately Held
- Founded
- 2019
- Specialties
- machine learning, artificial intelligence, assurance, governance, compliance, audit, transparent AI, responsible AI, ethical AI, ml monitoring, ml ops, model risk management, AI governance, and model audit
Products
Monitaur Model Governance Software
Governance, Risk Management, and Compliance (GRC) Software
To succeed with AI, model governance and model risk management take on a new urgency. Monitaur meets this urgency. And we have the most comprehensive and effective AI and model governance solution available. Our software meets you where you are in your governance journey from defining policies and practices to managing actionable governance processes that can be rolled out at scale with automation. You focus on building the best model, we'll deliver the best governance with alignment on definition and well-managed collaboration. - Avoid expensive mistakes by running objective model validations before they go live - Catch wayward models through continuous testing for fairness, data quality, and robustness. - See issues and remediate them quickly thanks to real-time alerts - Empower business and risk stakeholders to understand model performance for themselves - Automate the collection of technical evidence through our robust API.
Locations
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Primary
Boston, MA 02111, US
Employees at Monitaur
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Jeffrey Beir
Mentor to disruptive founders; Founding mentor at the Harvard iLab; Snowboard instructor; Former founder, CEO and venture investor.
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Greg Arnette
CloudTruth co-founder | CPO | No more misconfigurations
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David Theriault
Director of Engineering at Monitaur
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Brian McCue
Enterprise Account Executive at Monitaur | GRCP
Updates
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Do you understand the nuances of AI development and its implications for risk managers? Risk managers can partner effectively with other stakeholders to create comprehensive AI governance. Learn to ask the right questions, identify key risk factors, and contribute meaningfully to AI strategy discussions. Read the full post here: https://hubs.ly/Q02HN_5f0 #AIModelRisk #AIGovernance
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Effective AI risk management goes far beyond checklists and automated documentation. In this article from the #Moniatur blog, we'll explore why a deeper understanding of model assumptions, limitations, and potential biases is crucial for comprehensive risk assessment. Learn how to ask the right questions about your AI systems, from data sources to model selection, and why this nuanced approach is essential for robust governance. Check out the article here: https://hubs.li/Q02H5vZn0 #RiskManagement #AICompliance
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Starting AI projects without clear objectives isn't just a financial risk—it could be damaging your company's credibility and reputation. Don't let poorly planned AI projects undermine your company's future. Get expert insights and learn how to safeguard your AI investments here: https://hubs.li/Q02F1QYK0
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Want to make your AI projects truly valuable? Start by articulating clear objectives and outcomes. Here's how: - Set concrete benchmarks, including non-modeling approaches - Establish solid performance metrics to prove success - Align AI investments with your strategic vision Result? Focused, value-driven AI initiatives that deliver real impact. Learn more about maximizing your AI strategy. https://hubs.li/Q02F1xKH0 #AIprojects #AIRiskManagement
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Is your organization truly prepared for AI implementation? Discover 7 key steps to ensure your AI projects are strategically aligned, well-governed, and positioned for success. Learn how to protect your investments and reputation while adopting AI: https://hubs.li/Q02F1mW60 #AIGovernance #AIProjects #ModelRisk
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Learn more about how leading organizations are moving beyond mere compliance to create more equitable risk management strategies. Don't miss this podcast from The AI Fundamentalists and special guest Joshua Pyle, FCAS as they discuss strategies for creating adaptable models that comply with varying requirements. Tune in here: https://hubs.li/Q02F1b1C0 #EthicalAI #RiskAssessment #AIModelGovernance
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Good corporate management in the age of AI starts with asking the right questions. Learn how to approach AI strategically as the hosts of The AI Fundamentalists and special guest Anthony Habayeb discuss the imperatives of safe and unbiased modeling systems, the role of regulations, and the importance of ethics in shaping AI. Check out the full episode here, or on your favorite podcast service: https://hubs.li/Q02F0-bl0? #CorporateStrategy #AILeadership #AIModelRisk
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Is your AI Governance strategy prioritizing short-term gains over long-term stability? Explore why the "easy path" in AI governance could lead to costly obstacles down the line. Protect your organization’s future by understanding the risks. https://hubs.li/Q02F2h_F0 #AIGovernance #CorporateStrategy #ModelRisk
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The evolving data scientist: Part statistician, part computer scientist, part domain expert. How are you balancing these roles in your AI development work? Dive into this episode of The AI Fundamentalists as the hosts discuss strategies for integrating multidisciplinary knowledge and elevating your skillset. Learn how embracing a T-shaped model of expertise can empower data scientists to lead the charge in industry-specific innovations! Catch the full episode here: https://hubs.li/Q02F0sHY0? #AIModelRisk #AIGovernance