Events and Webinars
Discover the difference ModelOps can make to your AI initiatives
Events and Webinars
Discover the difference ModelOps can make to your AI initiatives
Upcoming Events
CDO/ML/AI National Virtual Summit
April 20, 2021 | 1:55pm-2:30pm EST

CXO Panel:“2021 State of ModelOps Survey takeaways“

– Martin Miller, Director of AI/ML Production Operations, Levi Strauss & Co.
– Robert Serena, Director ERM Model Risk, TIAA
– Ruchi Sharma, Head of Model Development, Deutsche Bank

Moderated by Stu Bailey, co-founder, ModelOp
Machine Learning in Retail Summit
April 20th – 21st, 2021
Join us for the Retail Machine Learning Community’s annual gathering

9 speakers and 3 hand-on workshops will explore applications of Machine Learning from both the business and technical areas of expertise.

Attendees will have opportunities to meet with both academic researchers and industrial parties active in the retail sector in order to gain new perspectives from each other’s scope of work.

Join this new initiative to help push the AI community forward.
MLOps: Machine Learning in Production New York
April 29th, 2021 | 1pm-2:30pm EST
Join our CTO Jim Olsen for a hands-on ModelOps Workshop to learn how to operationalize all models across the enterprise. Workshop agenda includes:
  • Model Life Cycle design
  • Actionable Model Monitoring
  • Model Governance
AWS Summit Online – Americas
May 12 – 13, 2021
Join our VP of Product Dave Trier for a ModelOps Workshop to learn how to Operationalize all models across the enterprise, starting from SageMaker models.
  • Model Management
  • Actionable Model Monitoring
  • Model Governance
MLOps World: Machine Learning in Production 2021
June 14th – 17th, 2021
Join our CTO Jim Olsen for a hands-on ModelOps Workshop to learn how to operationalize all models across the enterprise. Workshop agenda includes:
  • Model Life Cycle design
  • Actionable Model Monitoring
  • Model Governance
The Future of Insurance USA 2021
June 22 – 24, 2021
Join our session:
Use AI to Drive Innovative Operational Efficiency

3 Impactful Use Cases:
  • AI-driven straight through processing reduces costs and increases customer satisfaction
  • Optimize the pricing of your portfolio with AI-driven analysis
  • Fraud detection is an ongoing area for improvement and AI is helping
2021 ModelOps Summit
Thursday, April 15, 2021
Keynote Presentation:
Erick Brethenoux
VP Analyst and AI Research Agenda Lead, Gartner
Panel Discussions featuring executives from Ally Bank, Charles Schwab, New York Life, Regions, KPMG, Cantor Fitzgerald, and more.
CDO/ML/AI National Virtual Summit
April 20, 2021 | 1:55pm-2:30pm EST

CXO Panel:“2021 State of ModelOps Survey takeaways“

– Martin Miller, Director of AI/ML Production Operations, Levi Strauss & Co.
– Robert Serena, Director ERM Model Risk, TIAA
– Ruchi Sharma, Head of Model Development, Deutsche Bank

Moderated by Stu Bailey, co-founder, ModelOp
Machine Learning in Retail Summit
April 20th – 21st, 2021
Join us for the Retail Machine Learning Community’s annual gathering

9 speakers and 3 hand-on workshops will explore applications of Machine Learning from both the business and technical areas of expertise.

Attendees will have opportunities to meet with both academic researchers and industrial parties active in the retail sector in order to gain new perspectives from each other’s scope of work.

Join this new initiative to help push the AI community forward.
2021 ModelOps Summit
Thursday, April 15, 2021
Keynote Presentation: Erick Brethenoux
VP Analyst and AI Research Agenda Lead, Gartner
Panel Discussions featuring executives from Ally Bank, Charles Schwab, New York Life, Regions, KPMG, Cantor Fitzgerald, and more.
17th Edition Model Risk Virtual Conference
GFMI Conference
February 24-25, 2021
Play Video
Keynote: Model Risk Management in the Age of AI
February 24 at 11:40 a.m. ET
Stu Bailey, ModelOp co-founder
Panel: Operationalizing AI with Proper Risk Management and Controls
February 25 at 9:45 a.m. ET
Moderator: David Trier, VP Product at ModelOp
Panelists:
  • Lourenco Miranda, Managing Director, Head of Model Risk Americas, Societe’ Generale
  • Adam Behrman – Head of Model Risk and Chief Model Risk Officer, Investor Bank
On-Demand Sessions
Model Risk Management in the Age of AI
The three areas driving risk are increasing complexity, regulatory risk and business cost. This keynote addresses these risks as well as how ModelOps can keep AI models compliant and operating as designed.
Operational Scale and Governance of Enterprise AI Initiatives
  • ModelOps best practices to deploy, monitor and govern AI/ML models
  • How customers have been able to scale and govern AI with ModelOps
  • Highlights from the “ModelOps Essential” guide
Governing, Integrating and Implementing Model, Data, AI & ML Initiatives
Hear from Executives from BP, Regions and Wells Fargo, former Citi, as they discuss different aspects of model production (regulatory guidelines, explainability and bias, tracking metrics, speed of deployment & refresh), and market solutions available. They also share their views on organizational aspects of model production, between 1st, 2nd, and 3rd lines of defense and the role of technology, corporate risk, and data science.
Bring Enterprise AI Initiatives into Production with ModelOps
  • Leading Analyst view on the ModelOps space
  • Executive practitioners’ sharing their experiences on how to operationalize all models across the enterprise in a world with models of all types, regulations and the need for explainability and visibility.
  • Lessons learned, what has worked, what hasn’t, and how ModelOps is a key capability for enterprise AI to adapt and thrive in the new normal we are in.
Scaling and Governing Your Enterprise AI Initiatives with ModelOps
  • The main challenges of integrating AI/ML models into existing processes
  • How to best adapt governance to include AI/ML
  • Where should ModelOps live?
  • KPIs for Enterprise AI initiatives
Operationalize the AI Model Lifecycle
ModelOps is breaking down barriers to operationalize AI and ML models. Mike Gualtieri, Forrester analyst and Stu Bailey, co-founder of ModelOp, share how ModelOps and MLOps helps organizations operationalize models.
Model Risk Management Programs in the Age of AI
Shrikant Dash, banking executive and MRM expert, and Stu Baily, co-founder of ModelOp, discuss the emerging Model Risk Management (MRM) requirements for AI/ML models.
A Framework for Analytics Operational Risk Management
H.P. Bunaes, founder of AI Powered Banking, and Stu Bailey, co-founder of ModelOp, discuss best practices for risk management for operational models.
Pass Audits Proactively
AI and ML models are pushing risk management teams to re-evaluate their processes and make sure they are satisfying the evolving regulatory guidelines. Stu Bailey, co-founder of ModelOp and Manish Chakrabarti, Banking Risk Management executive, discuss banking industry risk management requirements.
Operationalizing AI with Proper Risk Management and Controls
Learn how you can responsibly implement and operationalize AI/ML models with controls throughout the model’s life cycle and the right organization, tools and processes.