RepRisk

Greenwashing returned. AI arrived. Oil sands faded. And there was one constant: Land ecosystems. Twenty years of RepRisk data reveal how business conduct risks evolve – built on a stable and trusted methodology that enables decision-makers to identify emerging risks before they become material exposures. Our CEO and Co-Founder Philipp Aeby opens our Data Insights series, marking two decades of RepRisk and our work to illuminate risk with 20/20 vision – enabling clients to know more, be sure, and act faster. Swipe through and explore our story here:https://lnkd.in/etkDvYud #BusinessConductRisk #RiskIntelligence #RepRisk20Years #ProudToBeRepRisk

RepRisk delivers decision-ready business conduct data to asset managers across the globe. Curated by experts, powered by AI. #BusinesConductRisk #AssetManagement #RiskManagement #AssetManager Get the risk data you need to act fast. https://lnkd.in/d9j6J-vn

How are banks integrating risk intelligence into end-to-end workflows to improve decision quality and reduce blind spots?     Find out at our August 5 webinar next week, Rethinking Risk in Banking: AI and the Economics of Better Decisions, where Isma'eel Akoon, Vice President, Head of EMEA Sustainability Risk, SMBC Group and Ovie Iroro, Head of Sustainability & Climate Risk, FirstBank UK join RepRisk's Jenny Mathilde Gade Nordby to discuss this and more. https://lnkd.in/eFtJarqy #Banking #Banks #AI #BusinessConduct 

We're pleased to expand our partnership with FactSet, further strengthening sustainable investing solutions with RepRisk's trusted business conduct risk intelligence. Together, we're empowering financial institutions to integrate business conduct risk insights across their investment workflows, enabling them to drive performance and navigate increasingly complex markets with greater peace of mind. Swipe through to learn more and read the joint announcement https://lnkd.in/d7n--VqK #SustainableInvesting #RiskManagement #RiskIntelligence #BusinessConductRisk

Spot reputational risks before they impact your investments, with decision-ready insights. Curated by humans, powered by AI. #BusinesConductRisk #Assetmanagement #RiskManagement Discover why leading asset managers only trust RepRisk data. https://lnkd.in/eVUZJsBj

Most risk doesn't arrive with a warning label. It starts small, remains unnoticed, and becomes significantly more expensive to manage over time. The earlier organizations identify emerging business conduct risks, the greater their opportunity to: ✔ Reduce exposure ✔ Lower incident-related costs ✔ Improve capital allocation ✔ Make faster, more confident decisions Explore the economics of early risk identification in our latest article: https://lnkd.in/eTWG8b9q #BusinssConductRisks #RiskManagement #RiskIndentification

On August 5, industry experts will join RepRisk’s Jenny Mathilde Gade Nordby for our webinar, Rethinking Risk in Banking: AI and the Economics of Better Decisions. Together they will explore the role of business conduct and reputational risk intelligence in bringing real-world context into AI-enabled decisions, grounding them in trusted, validated external signals that stand up to regulatory scrutiny, and at the same time bring greater reality, and defensibility into banking decisions.     Register now: https://lnkd.in/dYv8SRyj   #Banks #AI #BusinessConduct

Business conduct risks have risen 55% since 2023 and evolving exposures, from AI to cybersecurity, are reshaping C-level priorities. Yohan Hill from Adams Street Partners, shared his perspective on what’s driving the increase at our latest webinar. Watch the full video here: https://lnkd.in/defWKA2p #RiskManagement #AI #CyberSecurity #RiskStrategy

The latest Financial Times AI Shift newsletter highlights how Bridgewater Associates improved AI accuracy to 85% by fine-tuning models on the expertise and workflows of its own investment professionals – not just on the right answers, but on how experts actually arrive at them. And they did so while reducing costs to a fraction of those associated with frontier models. Satya Nadella recently made a similar point, arguing that the real differentiator will not be the model itself, but an organization's ability to learn from its own expertise and build proprietary learning loops. Fully agree: What separates 85% from 95% and beyond is not only a better model. It is better training data, deeper domain expertise, and a continuous human feedback loop. That's why I do not believe the future of enterprise AI is one giant model attempting to do everything. At least not in banking and asset management, where hallucinations can come at an unacceptable cost, as RepRisk’s recent ROI report shows. It is a smart combination of foundation models and specialized models, each optimized for a specific task and continuously refined through human feedback. AI provides scale and speed. Human expertise provides relevance and accuracy. The real breakthrough happens when the two continuously learn from one another. #HIxAI #AIwithHumansInTheLead #ArtificialIntelligence #RiskManagement