Future of MLOps & AI Model Governance Virtual Summit Date - 15th July, 2026
Time - 1100 HRS ET

Explore how enterprises across the US are operationalizing AI at scale by adopting robust MLOps practices and model governance frameworks. The Future of MLOps & AI Model Governance Virtual Summit brings together AI engineers, data scientists, and ML operations leaders to discuss how modern AI platforms are enabling organizations to streamline model development, improve reproducibility, and ensure responsible AI deployment across business-critical applications.

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About The Event

Streamline ML Operations. Govern Models. Drive Enterprise AI Impact.

As AI adoption grows, organizations face challenges in managing the lifecycle of machine learning models: from development and experimentation to deployment, monitoring, and governance. Teams often struggle with fragmented pipelines, inconsistent model reproducibility, and difficulty scaling ML initiatives across departments.

This summit highlights how leading organizations are leveraging collaborative, platform-driven MLOps solutions to:


  • Track experiments, datasets, and models in a unified environment
  • Ensure reproducible and transparent ML workflows across teams
  • Deploy models into production faster with monitoring and automated pipelines
  • Implement robust model governance and compliance practices
  • Enable collaboration between data scientists, ML engineers, and business stakeholders

Attendees will learn practical strategies to optimize ML lifecycle management, strengthen model performance monitoring, and embed responsible AI practices into enterprise workflows. Real-world use cases will demonstrate how organizations reduce operational friction, mitigate risk, and scale AI initiatives efficiently across multiple teams and cloud environments.

Why Attend?

Gain actionable strategies and insights to implement automated, consistent infrastructure, streamline operations, and accelerate release velocity while maintaining compliance and operational control.

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Digital Sessions

Live expert-led sessions packed with actionable takeaways.

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Digital Panel Discussions

Insightful discussions with industry leaders and innovators.

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Digital Network

Connect and collaborate with professionals worldwide.

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Virtual One-to-One Meetings

Focused meetings to build partnerships and close deals.

Highlights

06+

Knowledge Sessions

Experience dynamic web panel discussions, live fireside chats, and interactive digital presentations that offer in-depth insights.

10+

Industry Leaders

Connect virtually with top decision-makers, thought leaders, and solution providers exploring the latest advancements and trends in Artificial Intelligence.

300+

Attendees

Join a distinguished group of senior executives and industry professionals for meaningful knowledge exchange and collaboration.

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Our

Discussion Points

  • Building reproducible ML experiments and model pipelines
  • Tracking datasets, features, and model artifacts across teams
  • Collaborative ML development with version-controlled workflows
  • Deploying ML models into production with monitoring and automated CI/CD pipelines
  • Implementing robust model governance, auditability, and compliance
  • Ensuring fairness, explainability, and responsible AI practices
  • Real-time model performance tracking and anomaly detection
  • Managing large-scale ML projects across distributed teams
  • Integrating experiment tracking with existing data infrastructure
  • Aligning model governance with enterprise risk and regulatory requirements

Key Focus Areas:

  • MLOps Workflow Optimization
  • Experiment Tracking & Reproducibility
  • Model Deployment & Monitoring
  • AI Governance & Responsible AI
  • CI/CD Pipelines for Machine Learning
  • Data & Feature Management
  • Collaboration Across ML Teams
  • Scalable Enterprise AI Platforms
  • Regulatory Compliance & Auditability
  • Continuous Model Improvement & Performance Metrics
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Topics We Cover

Experimentation Platforms for ML
Model Lifecycle Management
Reproducible AI Workflows
Model Monitoring & Performance Metrics
CI/CD for Machine Learning
Model Governance & Audit Trails
Responsible AI & Ethical ML Practices
Collaboration Tools for Data Science Teams
Scaling AI Across Enterprise Functions
Risk Mitigation in AI Deployment
Cloud & Multi-Cloud AI Operations
End-to-End MLOps Automation

Industries

Technology & SaaS
Financial Services & Banking
Healthcare & Life Sciences
Telecommunications
Retail & E-Commerce
Manufacturing & Engineering
Energy & Utilities
Government & Public Sector
Logistics & Supply Chain
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WHO SHOULD ATTEND?

JOB TITLES

CXOs, VPs, Directors, Heads & Specialists in -

  • Machine Learning & AI
  • Data Science
  • MLOps & ML Engineering
  • AI Governance & Responsible AI
  • Data Engineering & Feature Platforms
  • Cloud & AI Infrastructure
  • Analytics & Business Intelligence
  • Digital Transformation

Our Speakers

Hear from leading AI engineers, ML operations experts, and data science leaders sharing real-world insights on reproducible ML, model governance, and operationalizing AI at enterprise scale — enabling teams to deploy, monitor, and govern models confidently and efficiently.

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Past Event Highlights

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Our Testimonials

Thank you for the great session. Reimagining Customer Experiences with Proactive Customer Care

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Karen Mascarenhas Manager, Demand Generation - Uniphore

It was a pleasure working with you on this webinar. Future of AIOP’s for Businesses

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Jennifer Mavaseh Director of Business Development -Nastel Technologies, Inc.

Thank you so much for all ur support for the event. Future of Expense Management for Businesses

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Elise Dumolin Field Marketing Manager -DACH -Nintex

Thank you again for your assistance with hosting the event and I turned in for a brief period and was very happy with how smoothly things were running.. Future of Digital Process Automation for Businesses

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Cameron Regional Marketing Specialist, APAC - Akeneo

Faq

frequently asked questions

This event is designed for industry professionals, decision-makers, technology leaders, innovators, and solution providers who want to explore the latest trends, strategies, and real-world insights related to the summit topic.

Yes, this is a paid event. Once registered, you’ll receive full access to the live sessions, networking opportunities, and post-event resources depending on your ticket type.

After completing your registration, you will receive a confirmation email along with the event access link and instructions. You can join from any device with a stable internet connection.

Yes, attendees will receive access to the on-demand event recordings after the summit, allowing you to revisit important discussions and insights.

Absolutely. The summit includes interactive sessions, live Q&A with speakers, and virtual networking spaces to connect with industry peers and experts.

If you are interested in speaking or sponsoring, please reach out to us through our contact page or send an inquiry to our team. We will get back to you with available opportunities and partnership benefits.

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