Last week, we had the pleasure of attending #AIForFinance, where our colleague Seppe delivered an insightful session on 𝗵𝗼𝘄 𝘁𝗼 𝘂𝘀𝗲 𝗔𝗜 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝘆. At Datashift, we believe that AI is a transformational technology with the potential to create immense value across industries and domains. However, with great power comes great responsibility: 𝗔𝗜 𝗮𝗹𝘀𝗼 𝗶𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲𝘀 𝗻𝗲𝘄 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗮𝗻𝗱 𝗿𝗶𝘀𝗸𝘀 that businesses must understand and manage effectively. The strong turnout at Seppe's session highlights a growing awareness of these issues. Yet, it's clear that many organizations are still navigating the complexities of 𝗺𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝗔𝗜 𝗿𝗶𝘀𝗸𝘀. Here are Seppe’s 𝗸𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 from the session: 💡 Identify AI use cases that are relevant to your business context while evaluating their potential value and risks. 🛠 Develop a clear framework to identify, measure, and manage AI risks. 🔗 Embed AI risk management into existing processes, ensuring accountability across teams. Let’s keep the conversation going—what’s your biggest challenge when it comes to managing AI risks? Share your thoughts below! 👇
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Oliver Wyman with Marsh have launched Sentrisk. A cutting-edge AI-powered platform designed to give companies the knowledge of where risks live in their supply chain so organizations can make informed, proactive decisions on how to mitigate the risk. #AI #SupplyChain
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This is another helpful resource from OCEG, on AI Governance, covering the critical questions leaders must address to ensure effective Governance, Risk Management and Compliance (GRC) in AI adoption. It is free to download. The guide emphasizes that AI governance necessitates a strategic approach, aligning AI initiatives with business goals and closely monitoring their performance and impact. Organizations need to establish clear governance processes, maintain a centralized record of AI usage, and adhere to guiding principles for AI development and deployment. A robust risk management strategy is essential to identify, assess and mitigate potential risks, ensuring that AI is used responsibly and ethically. Compliance with relevant laws and regulations is also crucial, requiring organizations to stay updated on evolving regulatory landscapes and implement necessary policies and procedures. The guide also highlights the importance of training and education to equip the workforce and stakeholders with the knowledge and skills to interact with AI systems responsibly. Additionally, organizations must prioritize data use and security, ensuring proper governance, quality and protection of data used in AI systems. Model assurance is another critical aspect, focusing on the explainability, reliability and compliance of AI models. Effective stakeholder management is vital to building trust and ensuring consistent AI governance across the extended enterprise. This guide is practical, and immediately useful. It provides questions, with guidance and suggestions. Perfect as a go-to desktop or field reference.
AI isn't just a buzzword—it's a game-changer. From gaining a competitive edge to managing new risks, from regulatory compliance to workforce transformation, AI is reshaping every facet of business. As a business professional, understanding and effectively navigating AI adoption isn't just important—it's critical to your organization's future success. To help business leaders, risk managers, and board members navigate, we've worked with OCEG to create The Essential Guide to AI Governance. In the guide, you will learn about AI adoption for: ✅ Strategy & Governance ✅ Risk Management ✅ Compliance & Regulation ✅ Data Security ✅ Ethical Considerations ✅ Transparency & Explainability ✅ Stakeholder Management ✅ Workforce Impact ✅ Third-Party Risk ✅ Continuous Improvement Download it today! 🔗: https://hubs.li/Q02PGpCG0
The Essential Guide to AI Governance - OCEG
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AI in business certainly boosts efficiency, enhances decision-making, and improves customer experiences. But it’s not without its risks. 💡 To truly harness the AI’s power, you must ensure responsible development, ethical use and robust risk management. Learn more in our article. You can find it in the comment section below. 👇 #ai #businessgrowth #innovation #aitech #ethicalai #customerexperience #datasecurity #techrisks #futureofwork #aiethics
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Excited to head to #TheAISummit in New York City next week! Will you be attending? If you're passionate about AI governance, risk management, or building high-performing AI teams, let’s connect! Here are some of the sessions I’m looking forward to: 👉"AI Governance & Performance: C-Suite Insights". As AI becomes mission-critical for businesses, strong governance is essential. It also tackles the question of how we measure AI performance beyond just accuracy. Can't wait to hear from Orrie Dinstein and Alaa Moussawi! 👉Next, "The Human-AI Frontier: Enhancing Collaboration and Trust" by Mihir Shukla. I fully support making AI more understandable and trustworthy, building systems that integrate with human activities. 👉"Optimizing RAG Systems in Practice: Challenges and Proven Solutions". This session will examine real-world issues like hallucinations and incomplete responses and offer practical solutions for building more robust RAG systems. Naresh Dulam is leading the charge here. 👉And lastly, "Strategic Fine-Tuning for Tailored Performance of Your Language Models", where experts Steven Moons , Vik Scoggins, and others will share their vision. Let me know if you’ll be there—let’s connect and share ideas! #AIGovernance #AIReliability #Qualifire
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AI isn't just a buzzword—it's a game-changer. From gaining a competitive edge to managing new risks, from regulatory compliance to workforce transformation, AI is reshaping every facet of business. As a business professional, understanding and effectively navigating AI adoption isn't just important—it's critical to your organization's future success. To help business leaders, risk managers, and board members navigate, we've worked with OCEG to create The Essential Guide to AI Governance. In the guide, you will learn about AI adoption for: ✅ Strategy & Governance ✅ Risk Management ✅ Compliance & Regulation ✅ Data Security ✅ Ethical Considerations ✅ Transparency & Explainability ✅ Stakeholder Management ✅ Workforce Impact ✅ Third-Party Risk ✅ Continuous Improvement Download it today! 🔗: https://hubs.li/Q02PGpCG0
The Essential Guide to AI Governance - OCEG
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AI governance affects every part of your company, especially if you want to use AI in ways that change your business for long-term growth. That's why I'm so excited to be working with the OCEG team and experts to present this guide. Great information for any role in any part of your organization. We're in this together! Check it out 👇 Anthony Habayeb Lee Dittmar Carole Switzer
AI isn't just a buzzword—it's a game-changer. From gaining a competitive edge to managing new risks, from regulatory compliance to workforce transformation, AI is reshaping every facet of business. As a business professional, understanding and effectively navigating AI adoption isn't just important—it's critical to your organization's future success. To help business leaders, risk managers, and board members navigate, we've worked with OCEG to create The Essential Guide to AI Governance. In the guide, you will learn about AI adoption for: ✅ Strategy & Governance ✅ Risk Management ✅ Compliance & Regulation ✅ Data Security ✅ Ethical Considerations ✅ Transparency & Explainability ✅ Stakeholder Management ✅ Workforce Impact ✅ Third-Party Risk ✅ Continuous Improvement Download it today! 🔗: https://hubs.li/Q02PGpCG0
The Essential Guide to AI Governance - OCEG
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🚀Generative AI (Gen AI) is revolutionizing the way businesses innovate, grow, and enhance productivity. From generating credible software code to identifying new materials for cures, the potential is immense. McKinsey estimates Gen AI could add up to $4.4 trillion to the global economy. However, the risks are real - biases, misinformation, and security threats loom large. By adopting proven risk management strategies, companies can harness Gen AI’s power responsibly. 🛡️ 🔑 Key Steps for Responsible Implementation: -Understand the risks of inbound exposures. -Develop a comprehensive risk management strategy. -Establish a robust governance structure. -Embed governance in an operating model with expert training #GenerativeAI #Innovation #RiskManagement #McKinseyInsights https://lnkd.in/eSuE32Yi
Implementing generative AI with speed and safety
mckinsey.com
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Exciting to share that Oliver Wyman with Marsh have launched Sentrisk. A cutting-edge AI-powered platform designed to give companies the knowledge of where risks live in their supply chain so organizations can make informed, proactive decisions on how to mitigate the risk. #AI #SupplyChain
Sentrisk: Achieve breakthrough risk outcomes
marshmclennan.com
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Exciting to share that Oliver Wyman with Marsh have launched Sentrisk. A cutting-edge AI-powered platform designed to give companies the knowledge of where risks live in their supply chain so organizations can make informed, proactive decisions on how to mitigate the risk. #AI #SupplyChain
Sentrisk: Achieve breakthrough risk outcomes
marshmclennan.com
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