Last week, Sorai hosted “Risk & Robotics: From Theory to Transformation”, exploring the transformative impact of artificial intelligence on risk management across six critical dimensions. The session highlighted how AI is accelerating risk identification and monitoring through early-warning systems and anomaly detection, while addressing the limitations of current models. Key discussions included: •Integrating AI into risk frameworks across the three lines of defence •Balancing AI insights with traditional governance, taxonomies, and ethics •Automating operational risk processes, including RCSAs, KRIs, and incident logging •Evolving risk culture and building human-AI collaboration through reskilling and digital fluency •Ensuring model explainability, meeting regulatory expectations, and maintaining transparency •Tracking geopolitical, ESG, and regulatory risks in a volatile global landscape The event featured an expert panel: •Niharika Hariharan, Partner at Sorai, leading AI strategy and product innovation •Ken King, Citizens Bank, AI-focused risk governance •Jennifer Pederson, South State Bank, Director of Model and Market Risk •Frederic Siboulet, iEpsilon, Managing Director of AI and Risk Management Advisory Want the whole discussion? Link below 👇 https://lnkd.in/dN7W3fHb This event underscored Sorai’s commitment to advancing AI-driven risk management and fostering responsible innovation across the financial services sector. #RiskManagement #AI #ArtificialIntelligence #OperationalRisk #Finance #Governance #Innovation
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Even at the end of a tiring day, I couldn’t resist joining the OCEG webinar on AI Governance late last night, given how relevant and insightful this subject is. The session reinforced the critical role of internal audit in guiding responsible AI adoption. Key insight: When it comes to AI adoption, one of the biggest challenges is dealing with unstructured data and non-audited systems. The real success lies in taking well-thought-out risks, balancing innovation with governance and effective risk management. A strong reminder that zero risk isn’t the goal; the goal is to define what’s acceptable and manage it wisely. #AIGovernance #InternalAudit #RiskManagement #ResponsibleAI
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The global Governance, Risk, and Compliance landscape is undergoing a rapid transformation. The Framework for AI Governance projects that the combined use of AI and integrated governance will reduce regulatory failures by up to 30% in 2025. NAVEX, in its latest report on the topic this year, showed that automation can reduce costs by up to 25%. Meanwhile, the Risk and Insurance Management Society states, based on its studies, that companies connecting KRIs and KPIs experience up to 25% fewer operational losses. In this scenario, will you keep #Compliance limited to conformity—or turn it into a strategic lever for your organization? Read the full article to understand the integration between levels and the new role of compliance in risk management. Read the article: https://lnkd.in/d8HNqNKq #riskmanagement #compliance
Risk Management
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"Risk models aren’t just actuarial artifacts anymore; they’re strategic assets. Or at least, they should be, and the use of AI is accelerating the opportunities."
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It’s been a hectic week, but I didn’t want it to end without sharing a few thoughts from last Thursday’s breakfast roundtable with our partner Monocle Solutions. The discussion was simply too good to skip. • To get real value from Model Risk Management (MRM) technology, organizations need to standardize their processes first. Technology won’t do that automatically. One participant shared how the AI team and the traditional modelling teams follow completely different processes while they build similar models. A perfect reminder that alignment must come before automation. • Alignment between stakeholders is crucial. When risk, compliance and business teams move in the same direction, technology truly adds value. • AI only works when it’s trusted. That means having the right technical guardrails and building AI literacy so everyone understands the risks involved. It was great to be part of such an interactive discussion, focused on real use cases instead of abstract theory. Thanks to everyone who joined and shared their insights Ratul Ahmed, Rheta du Preez, Neoka Gounden, Ritika Agarwal, Rhys van den Handel, FRM, Efrem Bonfiglioli, Iain Grant, Gaia Serraino, Stanley Jones, Helena G. #ModelRiskManagement #AI #RiskManagement #DigitalTransformation #DataGovernance
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AI in Business 🤖 Artificial intelligence is set to redefine customer experience, risk management, and operational efficiency across industries. Which area of business do you think will be most transformed by AI in the next 5 years? #ArtificialIntelligence #Innovation #DigitalFuture #AITransformation #Vision2030
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Model Risk Management is adapting to meet the demands of AI governance, including: - Automated documentation & testing - Integration across modeling platforms - AI-driven insights - LLM monitoring - Iterative training with effective challenge enforced - Regulatory and policy checks across the model lifecycle - Model and AIOps hooks Modern MRM improves the quality of your AI with automated monitoring & feedback loops, while driving efficiencies across the lifecycle. Jan Larsen and I have put together a short piece on how to govern AI at scale. Would love your feedback! https://lnkd.in/efGWCPnC #MRM #AIGovernance #ValidMind
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Integrating AI into third-party risk monitoring isn’t just a trend—it’s becoming essential. Here’s why: 🔍 Real-time insights: AI scans vast datasets, flagging risks faster than manual processes ever could. ⚠️ Proactive risk management: Predict potential issues before they escalate, reducing financial and reputational damage. 📊 Data-driven decisions: 85% of organizations report improved risk detection accuracy with AI integration. But beyond stats, it’s about transforming how we trust and verify partners in an increasingly complex ecosystem. How is your organization leveraging AI to safeguard against third-party risks? Let's discuss! #RiskManagement #AI #ThirdPartyRisk #Innovation Source: Gartner, 2023
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AI Ongoing Monitoring: Smarter Compliance & Risk Detection #artificialintelligence #businesstools Source: https://ift.tt/VU46PIY In today's rapidly evolving digital landscape, organizations face increasing pressure to comply with regulations across various jurisdictions. Our latest blog post delves into the transformative role of AI in ongoing monitoring for compliance and risk detection. By leveraging advanced artificial intelligence tools, businesses can enhance their compliance processes and effectively identify potential risks before they escalate. Discover how AI can not only streamline your compliance efforts but also provide smarter, more proactive risk management. Read the full article here: [AI Ongoing Monitoring: Smarter Compliance & Risk Detection](https://ift.tt/VU46PIY) #rswebsols #AI #Compliance #RiskManagement #DigitalTransformation #BusinessInnovation
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As AI models become more advanced, so does fraudulent activity. Sophisticated risk scenarios require equally sophisticated risk management. Through machine learning and multi-step workflows, AI agents offer enhanced security without the overhead. It combines the benefits of multiple functions, including: -Anomaly detection -Risk scoring -Network analysis -Identity verification But that only scratches the surface. Talk to our team today to learn how agentic AI can safeguard your business. https://hubs.ly/Q03M08yB0 #AgenticAI #FraudDetection #RiskManagement #MachineLearning
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Risk Managers: Compliance without the manual headache. Strengthen your audit trail instantly. Jeldi includes separation-of-duties automation and continuous access monitoring. Build trust and reduce risk effortlessly using AI and ML. #ComplianceMadeEasy #Automation
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