20 - 22 May 2026

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ML and AI Model Development and Governance 2026

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Timings

09:00 AM-06:00 PM (expected)

Entry Fees

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Estimated Turnout

- Delegates

Events type

Event Details:

  • Date:
  • Time: 09:00 AM-06:00 PM (expected)
  • Location: Netherlands , Amsterdam
  • Type:

Description

The 'ML and AI Model Development and Governance' event in Amsterdam promises to be a pivotal gathering for professionals and enthusiasts in the fields of machine learning and artificial intelligence. Taking place from February 17 to February 18, 2026, this event will delve into the latest advancements in model development, deployment, and ethical governance of AI technologies. Attendees will have the opportunity to engage with leading experts through keynote speeches, panel discussions, and interactive workshops.

Highlights

  • Align AI and ML model development practices with the evolving requirements of the EU AI Act.
  • Analyze the emerging risks and opportunities of agentic AI systems in autonomous modeling workflows.
  • Discuss the evolving governance challenges posed by AI models with dynamic learning capabilities and increased risk profiles.
  • Compare approaches taken to meet EU AI Act compliance and global regulatory alignment.
  • Explore the role of AI and ML models in high-risk and regulated areas such as credit and market risk.
  • Examine applications of Large Language Models (LLMs) across the spectrum of AI use-cases.
  • Gain insights on balancing innovation with regulatory demands and governance standards ensuring accurate decision-making.
  • Engage in knowledge exchange of best practices surrounding the internal and cross-functional internal governance structures of managing AI models.
  • Participate in case studies exemplifying leading impacts of AI model validation techniques used to further align with business integrity and investment strategies using AI.
  • Understand practical approaches to data governance, continuous model monitoring, and integrating AI model oversight within existing risk management frameworks.

Tags

# AI
# Data
# Workshop

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