ML Model Development and Governance Conference: New York, NY, April 22-24, 2024

ML Model Development and Governance Conference is happening in New York, NY, April 22-24, 2024.

Here are some of the details about the conference:

Conference themes:

• • Developing and governing machine learning models for appropriate implementation
  • Overcoming issues surrounding data and explainability
  • Leveraging AI/ML to drive business value and innovation
  • Adopting best practices and frameworks for ML model development and governance
  • Enhancing collaboration and communication among stakeholders

Conference topics:

• • • Data quality and management for ML models
    • Explainable AI and interpretability techniques
    • ML model validation and testing
    • ML model monitoring and maintenance
    • ML model risk and compliance
    • ML model ethics and fairness
    • ML model deployment and integration
    • ML model lifecycle management
    • ML model governance strategies and challenges
    • ML model governance tools and platforms

Submission guidelines:

• • Submit your proposal online by February 15, 2024
  • Include a title, an abstract, and a short bio
  • Indicate your preferred session format and topic
  • Acceptance notifications will be sent by March 1, 2024

Important dates:

• • Submission deadline: February 15, 2024
  • Acceptance notification: March 1, 2024
  • Early bird registration: March 15, 2024
  • Conference dates: April 22-24, 2024

Conference link:

• ML Model Development and Governance Conference

Submission link:

• Submit your proposal here.

Speakers:

• Wayne B. Shoumaker, SVP, Quantitative Analytics Manager, Model Risk Management, Wells Fargo
• Harikrishna Mallepalli, Senior Vice President, Citi
• Hua Julia Li, Senior Vice President, Global Head of Model Risk Management, State Street
• Xiaoling (Sean) Yu, Head of Financial Crimes Modeling & Analytics, KeyBank
• Rafic Fahs, Chief Model Risk Officer, Fifth Third Bank
• Michael Jacobs, Jr., Lead Quantitative Analytics & Modeling Expert, PNC
• Stephanie Zhang, Managing Director, Head of AI Governance Tech, ModelOps, Data Development, JPMorgan Chase & Co.
• Jaydip Mukhopadhyay, Vice President-Internal Audit Group: Global Head-Model Risk, Treasury and Capital, American Express
• Hakan Gogtas, Head of the US Model Validation, Deutsche Bank
• Priyanshu Raj, Head of Data Governance, Liberty Mutual
• Carlos Rodriguez, Director – Model Validation, AI & ML, Ally
• Jennifer Yang, Managing Director, Data Governance & Operations, Global Asset Management Company
• Argyro (Iro) Tasitsiomi, Head of Investments Data Science, T Rowe Price
• Imir Arifi, Head of Methodologies & Models in the Americas, UBS
• Riten Dixit, Assistant Vice President, Market Risk Officer, The Federal Home Loan Bank of Cincinnati
• Nicola Barrett, Head of Forecast Model Development, MassMutual
• Otakar Gregory Hubschmann, Head of Applied Data, Machine Learning and Data Science, TransRe
• Aditi Baker, Former VP, Head of Data Science Enablement, The Hartford
• Chu (Arnold) Sai-Cheong, Principal Financial Analyst, Federal Housing Finance Agency
• Mehdi Esmail, Co-founder and Chief Product Officer, Validmind
• Kjell Carlsson, Head of AI Strategy, Domino Data Lab

You can find more information about the speakers and their sessions on the conference website.

Read More: Senior Digital Engagement Administrator needed at University of Colorado

Read More: OpenAI Unveils Sora, a Game-Changing Text-To-Video Model for Generating Complex Scenes