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Scaling AI from POC to business-critical products

Actionable insights on how business and technology leaders can strategically scale AI products to drive long-term value, covering everything from model optimization and data management to cross-functional collaboration and continuous monitoring.

Amir Ouki

Hosted by Amir Ouki

Managing Director, Applied AI & Technology

What the webinar covers

  • How to move from a successful AI POC to full-scale deployment that drives tangible business outcomes
  • How to scale data pipelines to handle both real-time and batch data, ensuring consistent, high-quality data flows to power AI models
  • Identify the key technical hurdles companies face when scaling AI and how to overcome them through efficient model optimization, cloud resource allocation, and cost management
  • How to set up real-time monitoring and feedback loops to continuously track performance and adapt AI products to evolving business needs
  • Real-world case studies from companies that have successfully scaled AI products, highlighting lessons learned, challenges overcome, and tangible results achieved

Why this session

Scaling AI across the enterprise from POC

Actionable insights on how business and technology leaders can strategically scale AI products to drive long-term value, covering everything from model optimization and data management to cross-functional collaboration and continuous monitoring.

We’ll share practical insights on optimizing models, managing real-time and batch data pipelines, overcoming technical roadblocks, and setting up continuous monitoring. Learn from real-world examples of companies that have successfully scaled AI to drive growth.

Who this session is for

The people who led the session.

Amir Ouki

Managing Director, Applied AI & Technology

Amir Ouki

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