AI Model Deployment & Monitoring Virtual Summit Date - 24th June, 2026
Time - 1100 HRS ET

Explore how organizations across the US are accelerating the deployment, monitoring, and governance of machine learning models in production environments. The AI Model Deployment & Monitoring Summit brings together MLOps leaders, data scientists, platform engineers, and AI strategists to discuss how modern ML platforms enable scalable, reliable, and secure deployment of AI models while ensuring continuous performance and business impact.

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About The Event

Deploy Faster. Monitor Smarter. Scale AI with Confidence.

As enterprises move beyond experimentation to production-scale AI, deploying and managing machine learning models becomes increasingly complex. Challenges such as model drift, lack of observability, governance gaps, and integration issues often prevent organizations from realizing the full value of AI.

This summit showcases how leading organizations are adopting advanced MLOps and model management strategies to:


  • Deploy machine learning models seamlessly across cloud, hybrid, and on-prem environments
  • Monitor model performance, accuracy, and drift in real time
  • Ensure explainability, transparency, and governance of AI models
  • Automate model lifecycle management from development to production
  • Integrate models into real-time applications and decision-making workflows
  • Maintain reliability, scalability, and security of AI systems

Attendees will gain actionable insights into building robust MLOps frameworks that enable continuous deployment, monitoring, and optimization of machine learning models. Real-world case studies will demonstrate how enterprises improve model performance, reduce risk, and operationalize AI at scale.

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 scalable pipelines for deploying machine learning models
  • Monitoring model performance, accuracy, and data drift in real time
  • Ensuring explainability and transparency in AI predictions
  • Automating model lifecycle management and CI/CD for ML
  • Integrating models into production applications and APIs
  • Managing model versioning, testing, and rollback strategies
  • Strengthening governance, compliance, and auditability of AI systems
  • Enhancing reliability and performance of AI services in production
  • Detecting anomalies and maintaining model health over time
  • Aligning AI performance with business KPIs and outcomes

Key Focus Areas:

  • MLOps & Model Lifecycle Management
  • AI Model Deployment at Scale
  • Model Monitoring & Observability
  • Explainable & Responsible AI
  • Real-Time Inference & Decision Systems
  • Model Governance & Compliance
  • CI/CD for Machine Learning
  • Model Performance Optimization
  • Risk Management in AI Systems
  • Enterprise AI Infrastructure
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Topics We Cover

Production-Ready ML Deployment Architectures
Real-Time Model Monitoring & Alerting
Model Drift Detection & Management
Explainability & Trust in AI Predictions
Automated ML Pipelines & CI/CD
Model Versioning & Experiment Tracking
Scalable Inference & API Deployment
AI Governance & Regulatory Compliance
Performance Optimization of ML Models
Operationalizing AI Across the Enterprise

Industries

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

JOB TITLES

CXOs, VPs, Directors, Heads, Managers & Specialists in -

  • Machine Learning & AI
  • Data Science & Advanced Analytics
  • MLOps & Platform Engineering
  • DevOps & Cloud Engineering
  • AI Governance & Risk Management
  • Data Engineering
  • Enterprise Architecture
  • Digital Transformation

Our Speakers

Hear from AI, MLOps, and platform engineering leaders sharing practical strategies to deploy, monitor, and scale machine learning models in production — enabling organizations to build reliable, explainable, and high-performing AI systems while ensuring governance, scalability, and continuous optimization.

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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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Sponsor this movement and align with a community,
that’s rising beyond.