Parker & Lawrence Growth Advisory

Following their report, Generative AI in Risk and Compliance: Friend or Foe, Parker & Lawrence Growth Advisory has released a Bitesize Research piece on modern data governance approach for GenAI rollouts. We recently spoke with their team about the importance of data governance in generative AI implementations and how GenAI has the potential to transform businesses. #GenerativeAI #Innovation #DataGovernance

🚨 Our new website is live 🚨 Explore our refreshed online space, where you'll find: 💬 Client Testimonials 📕 Content Portfolio 💡 Primary Research Want to learn more about how we could help you scale? Check it out 👇 https://lnkd.in/ew87x7Vb

🚨 Our new website is live 🚨 Explore our refreshed online space, where you'll find: 💬 Client Testimonials 📕 Content Portfolio 💡 Primary Research Want to learn more about how we could help you scale? Check it out 👇 https://lnkd.in/ew87x7Vb

Proud to have collaborated with ValidMind on another piece, this time unpacking the key obligations within the EU AI Act! If you’re looking for actionable strategies to align with these new regulations, our joint regulation brief provides four clear steps to help you move forward with confidence. Download today, and prepare your organization for tomorrow’s AI landscape 👇

Proud to have collaborated with ValidMind on another piece, this time unpacking the key obligations within the EU AI Act! If you’re looking for actionable strategies to align with these new regulations, our joint regulation brief provides four clear steps to help you move forward with confidence. Download today, and prepare your organization for tomorrow’s AI landscape 👇

Snog, Marry, Avoid: A Modern Data Governance Approach for GenAI Rollouts We can't always explain exactly how generative AI models make decisions, but we can control the data they have access to. Many firms we've been speaking to recently are turning to Retrieval-Augmented Generation (RAG) models in an attempt to reduce the risk of hallucinations by grounding AI outputs in relevant internal data. But this strategy is only effective if the data being used is well-governed, accurate, and up-to-date. This is easier said than done. With the massive amount of data firms are sitting on, it's a challenge to ensure the right data is feeding these models. To manage this risk, companies need to do one or more of the following: 🔹 Clean: Validate and prepare data, ensuring it’s safe and relevant for AI interaction. 🔹 Avoid: Restrict access to sensitive or irrelevant data that could pose compliance risks. 🔹 Remove: Eliminate outdated or problematic data that no longer needs to be retained for compliance / business purposes. We recently spoke with Castlepoint Systems to understand how they help organisations gain control over their data, ensuring that AI only draws from the right data, at the right time. If you want to learn more about the role of data governance for safe GenAI deployment (and how it can be automated) check out our latest blog: https://lnkd.in/d2PTk4nd #GenerativeAI #Innovation #DataGovernance

Michael represented Parker & Lawrence at the ValidMind & BNY event earlier this week: “GenAI Adoption Strategies for Financial Services.” We were thrilled to see our latest report in high demand, with attendees hoovering up the physical copies. Titled “Validating Generative AI: Model Risk Management in the Age of Artificial Intelligence”, it’s packed with practical insights for anyone looking to integrate GenAI tools into their operations. Collaborating with ValidMind on this report was a fantastic experience. Their team’s expertise was instrumental in shaping the narrative—truly second to none. It’s available to download on the ValidMind website here; https://lnkd.in/gn36MCCy Give it a read if you haven’t already! #GenerativeAI #GenAI #ArtificialIntelligence

What is the role of #GenerativeAI in building resilience? The growing complexity of global operations, coupled with an increasing reliance on third parties, has propelled resilience to the top of the regulatory agenda. High-profile incidents like the MOVEit hack, the SolarWinds attack, and the recent CrowdStrike outage have illuminated the fragility of critical infrastructures and the devastating effects of third-party failures. The sheer scale of modern business ecosystems necessitates the adoption of more advanced technologies to identify, manage and recover from operational and cybersecurity risks—both internal and external. Generative AI offers some promising capabilities in this regard. Its ability to simulate disruptions, generate new data, and interpret vast datasets in real time makes it invaluable for proactive risk management. Additionally, its capabilities in automating vendor assessments, summarising #incident reports, and generating resilience strategies can help organisations to tackle internal and external risks swiftly and efficiently. Yet, despite its potential, organisations must remain cautious. #Risks such as cyberattacks, system malfunctions, and the high computational demands of generative AI models present significant challenges that could disrupt operations if not carefully managed. Dive into the latest insights from our Bitesize Research series, exploring how Generative AI is reshaping resilience, based on our full report released earlier this year https://lnkd.in/eifem_Dc Thanks to Vendict for their contributions to this research

🤔 How are YOU validating your generative AI models? 🤔 Generative AI is the talk of the town right now, and while it promises to enhance competitiveness and productivity, it also introduces heightened risks and calls into question the efficacy of traditional model risk management programs. We’re excited to have collaborated with ValidMind to create a practical, hands-on guide to generative AI model validation. We had the privilege of tapping into the expertise of some of the brightest minds in the space, Kristof Horompoly, CFA, and Michael Ingvar Roenning. And as for the platform—its value speaks for itself. Check out the full paper below and be sure to follow the team closely if you aren't already. #RiskManagement #ArtificialIntelligence #GenerativeAI

Reimagining Credit Risk with Generative AI: Key Insights Excited to share our latest Bitesize Research on how Generative AI is transforming credit risk management, inspired by our broader report released earlier this year. 🔍 Key Takeaways: 🏦 AI-Driven Credit Risk Tools: Explore how Generative AI is enhancing credit risk assessment, from creating new data and labeling existing data to automating report creation and refining client interactions. 💡 Top 7 AI Use Cases: Discover impactful AI applications like internal co-pilots, report editing, and automated client communication that are reshaping the credit risk landscape. ⚠️ Addressing AI Bias: Learn about the risks of bias in AI models and how traditional software overlays can help mitigate these concerns, ensuring fair and reliable credit decisions. 🌟 Industry Insights: See how Emagia is leveraging AI within their Order-to-Cash platform, using tools like GiaDocs and GiaGPT to streamline credit risk management and enhance operational efficiency. Curious about how AI is redefining credit risk? Dive deeper into the full article: https://lnkd.in/dxZSfzBj #GenerativeAI #CreditRisk #RiskManagement #RegTech