"Adoption really swells from people understanding the value of AI and the underpinning need for AI to simplify their world.” That’s just one insight from our recent session: From Creation to Disposition: Managing Data Through Its Lifecycle. We covered: - How to map where your data comes from and where it’s going - The link between effective data controls and AI outcomes - Why lifecycle management is key to compliance and governance Keen to learn more? Explore more videos and webinars on data, AI, risk and compliance: http://spr.ly/6044ABGz0 #DataGovernance #InformationManagement #OneIronMountain

Boardrooms today are drowning in dashboards, data, and board packs. Directors walk into meetings armed with hundreds of pages of reports, risk registers, and policy briefings. … more information than ever, but not necessarily more wisdom. This is governance friction. #governance #governancefriction #boardroom #AI #governancematurity Sean Johnson is the author of: The Modern Association Playbook: Reimagining Strategy, Governance and Value Creation Ecosystem Economics for Modern Associations: How Participation, Governance and Platform Thinking Reshape Value Creation.

“AI Governance That Works: Lessons from American Heritage Credit Union and Sound Credit Union At #CULyticsDay2025, Adrian R. and Nancy Sternitzky showed how smart AI governance can accelerate innovation—not slow it down. From enterprise risk models to internal chatbots like Octobot, their credit unions are proving that responsible AI is about trust, transparency, and thoughtful design. Catch the full panel replay here: [https://zurl.co/s5Y1K] #CULytics2025 #AIGovernance #CreditUnionInnovation #ResponsibleAI

“AI Governance That Works: Lessons from American Heritage Credit Union and Sound Credit Union At #CULyticsDay2025, Adrian R. and Nancy Sternitzky showed how smart AI governance can accelerate innovation—not slow it down. From enterprise risk models to internal chatbots like Octobot, their credit unions are proving that responsible AI is about trust, transparency, and thoughtful design. Catch the full panel replay here: [https://zurl.co/s5Y1K] #CULytics2025 #AIGovernance #CreditUnionInnovation #ResponsibleAI

Resilience isn’t a framework; it’s a continuous capability. That was the clear message from DRJ Fall 2025, where 75+ sessions covered everything from crisis response and testing to third-party risk, AI, and regulatory proof. In his new blog, David Mack of CLDigital shares the top lessons from the event, plus practical steps you can apply across your program today. Read here: https://hubs.ly/Q03Jl4Pp0 #OperationalResilience #BusinessContinuity #RiskManagement #CLDigital #DRJFall

AI governance just left the lab: with AI Act and fast-moving GenAI, the question isn’t if we govern but how we scale safely. This piece lays out a pragmatic operating model linking risk tiers to concrete controls across data, models, agents, and products. Inside: policy→control mapping, RACI, LLM/MLOps checkpoints, evals/red-teaming, and audit-ready evidence trails. It’s for CIO/CDO/CTO, product, and risk leaders who need guardrails that accelerate delivery not slow it down. If you’re turning governance into a growth enabler, dive in and tell me what we missed.

What happens when enterprises move beyond copilots and chatbots — and embed AI directly into decision flows? In our recent webinar, “Agentic AI in Action: Redefining Enterprise Decision-Making with Aera,” we showed how embedded AI agents can transform supply chain risk management by detecting disruptions early, simulating alternative responses, and executing actions — all while maintaining trust and explainability. Read the recap and access the full on-demand recording to learn how agentic AI is shaping the self-driving enterprise. https://lnkd.in/g6QMTqDh #DecisionIntelligence #SupplyChainInnovation #AgenticAI

A recording from a recent webinar from Laurent Lefouet and Ram Krishnan two leading thinkers on Agents and Decision Intelligence. I found particularly interesting how teams of agents can detect events, simulate options and execute actions and the notion of autonomy scaling without loss of control - that we can evaluate nuances of decision making while still having governance over the decision process.

What-if questions are the hardest sell. When guardrails work, it almost disappears. Nothing bad happens, and it feels like nothing happened at all. But that’s exactly the point. Still, these what-if scenarios often hold SMBs back from adopting AI: What if our data leaks? What if our client list gets exposed? In our latest blog post, we share practical ways to turn the invisible into numbers that make sense in the boardroom: - Expected loss from data breaches - Value of productivity improvements across employees - Savings from compliance automation - Competitive advantage of being ready before regulations tighten or crises hit It’s not magic. The return on AI controls are measurable. Link in the comments.

If you're not thinking "agentic AI" AND governance for your business, then you're really missing the boat. According to Gartner, systems that act semi‑autonomously are now moving from theory to core strategy, and risk and ethics need to move with them. Think about guardrails, oversight, and decision boundaries is just as important as the agents you plan on using. https://lnkd.in/eqpdNyYB