Good Decisions Webinar

Learn how to govern agentic AI safely and at scale. ModelOp CTO Jim Olsen shares strategies and tools to manage autonomous agents, prevent data leakage, and enforce oversight through protocols like MCP and Agent Service.

Explore the key findings from the 2025 AI Governance Benchmark Report in this expert-led webinar. Learn what’s stalling enterprise AI—and how to overcome the most common roadblocks.

Learn how healthcare organizations are using model cards to move beyond transparency—enabling governance, compliance, and safer AI deployment.

Discover how AI leaders are aligning governance with innovation to manage SLMs, Agentic AI, and expert models at scale. Featuring Jim Olsen, CTO of ModelOp, this session explores practical strategies for staying in control without slowing innovation.

Learn how leading enterprises are integrating AI governance into their data strategies, ensuring compliance, and mitigating risk — without slowing down innovation. Featuring speakers from ModelOp, Macula Systems, and Mercy, you'll gain real-world insights on navigating the challenges of GenAI and agentic AI.

Discover why treating AI as a strategic portfolio is essential for demonstrating ROI and aligning innovation with business goals. Learn how AI Governance, focusing on the Minimum Viable Governance (MVG) approach, works in parallel with AI Portfolio Intelligence to unlock AI's full potential.

In this webinar, we unpack the key trends from 2024 and looked ahead to 2025. Learn actionable strategies to manage AI portfolios, comply with evolving regulations, and scale your AI initiatives with confidence.

Building trust in GenAI and vendor models is challenging, but effective AI Governance makes it possible. Learn how traceability, documentation, and monitoring can help your organization manage third-party AI with confidence.

In this webinar, we share practical and tactical tools and insights for quickly and effectively complying with the EU AU Act requirements, including the February 2025 deadline on prohibited systems.

In this webinar, Sumalatha Bachu, Senior Director, Technology, and Harvey Westbrook, Senior Director, Regulatory Economics & Market Analytics at FINRA share their insights on model governance and analytics, business and technical challenges, and how they impact FINRA's priorities and mission.

In this webinar, Forrest Pascal leads a discussion on the risks and challenges of AI use cases in healthcare. As a former AI leader at Kaiser Permanente and now VP of Healthcare and Responsible AI at ModelOp, Forrest shares his expertise on navigating the complexities of AI Governance and health equity.

Get a first look and demo of the new ModelOp 3.3, which includes the world’s first AI Governance Score. ModelOp’s VP of Product, Dave Trier, demonstrates how ModelOp 3.3 gives executives a standardized, real-time metric to measure risk across diverse AI initiatives, regardless of whether an organization is using generative AI, in-house, third-party vendor, or embedded AI systems. Dave also shares ModelOp 3.3’s major new enhancements that give executives real-time visibility into their AI initiatives and the risks across the entire enterprise.

Join Dave Trier, ModelOp’s Vice President of Product, and Pete Foley, CEO of ModelOp, for an enlightening discussion on AI accountability in the C-suite. Dave will delve into the complexities surrounding artificial intelligence and the imperative for clear accountability in today's fast-evolving technological landscape. Pete Foley, drawing on his extensive experience as Chief Executive at Infoblox, PortAuthority Technologies, and RingCube Technologies, will share insights on the rise of the Chief AI Officer, navigating AI Governance committees, and regulatory and risk developments.

The rapid evolution of AI in healthcare offers transformative tools and personalized treatment but also carries significant risks. Officials are developing regulations to ensure healthcare decision-making models do not violate patient rights or cause adverse outcomes. In this episode, we discuss the balance between innovation and responsible use of generative AI, and provide insights into implementing robust AI governance frameworks for regulatory professionals.

The speed with which Generative AI is being embraced and rushed into production by enterprises is head-spinning, and the end of the calendar year was ripe with headlines of “AI Gone Wrong”. This means the time to safeguard AI was yesterday. Join ModelOp’s VP of Product, Dave Trier, for a live webinar in which he’ll discuss three real world situations that stress the urgency for Enterprise AI governance from enterprise AI gone wrong. Dave will analyze current events in which enterprises failed to balance AI risk and reward and share AI Governance insights that he’s collected from conversations with over one hundred Fortune 500 executives over the past year.

With the massive publicity of the recently launched ChatGPT, Artificial Intelligence (AI) has been elevated to Board-level initiatives. While AI offers tremendous potential, it can also introduce significant business risks if not used and governed properly. Watch this impactful webinar where Liming Brotcke (Senior Director of Data Science at Ally Bank) and Dave Trier (VP of Product for ModelOp) give practical advice on how to get started in implementing a modern model governance framework in the Age of AI.

Presented by ModelOp CTO Jim Olsen at the Toronto Machine Learning Summit 2022 Basics of a model life cycle: What makes up a model life cycle and how do you design one Governance: Developing an automated governance workflow Monitoring: How to monitor models post-deployment in a flexible manner Remediation: Creating remediation workflows that track and accelerate time to resolution

Presented by ModelOp CTO Jim Olsen Scaling AI for an enterprise means more than more data, more compute, bigger speeds and feeds. Enterprise Architects need to accommodate multiple DSML tools, data systems and serving environments. In addition to the migration to cloud or multi-cloud, the dockerization journey, the increasing use of 3rd party AI models and 4th party AI. How do you implement enterprise standards for Operations and Governance, without stifling innovation and adding complexity?

In this webinar, DS, AI, CoE and CDAO teams will learn how to: Show the ROI of their AI initiatives Automate the full model life cycle and establish seamless handoffs across teams Define and implement reusable governance templates Automatically ensure all AI Governance policies (e.g. ethics and fairness) are enforced

The growth in AI adoption is accompanied with a parallel growth in regulations targeted at minimizing the risk inherent in AI. Many financial institutions have risk management processes and teams; however, the processes are typically manual and require highly trained model validators, which are in short supply. Because of this, Model Risk teams are unable to keep pace with the growing number of new models, in conjunction with the substantial backlog of existing model validations, re-validations, and annual reviews. This presentation provides real life experiences about how to solve this growing pain.

Digital disruption is part of your workflow now and adapting your approach to handling model risk in light of the speed this brings is imperative. In this panel discussion, Banking industry insiders share their strategies for managing this, and still maintaining control and quality.

With the massive publicity of the recently launched ChatGPT, Artificial Intelligence (AI) has been elevated to Board-level initiatives. While AI offers tremendous potential, it can also introduce significant business risks if not used and governed properly. Watch this impactful webinar where Liming Brotcke (Senior Director of Data Science at Ally Bank) and Dave Trier (VP of Product for ModelOp) give practical advice on how to get started in implementing a modern model governance framework in the Age of AI.