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Online Talk

Productionizing Shift-Left to Power AI-Ready Data

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Tuesday, Oct 07, 2025

10 AM PDT | 1 PM EDT | 10 AM BST | 10:30 AM IST | 1 PM SGT | 4 PM AEDT

Reactive data engineering processes, slow batch processes, and a persistent divide between operational and analytical data estates, creates costly inefficiencies including bad data and limited data agility—hindering the full potential of AI.

Shift-Left in data is a paradigm that bridges the gap between data producers and consumers to deliver high-quality and trustworthy data assets for operations and analytics alike.

But how do you implement Shift-Left in practice, at production scale?

Join this webinar with leading voices in data and AI to:

In part 1, learn how to build and manage high-quality data assets at scale by shifting left with Confluent and Gable

  • Gable is the first shift left data management platform and Confluent is the world’s data streaming platform
  • Discover how to embed data quality, reliability, and governance earlier in the data lifecycle by treating data like software, ensuring schema enforcement, versioning, and automated compliance

In part 2, explore strategies to jumpstart your AI transformation with guest speaker Mike Gualtieri, VP, Principal Analyst, Forrester

  • Gain insights into the evolving data landscape to support next-gen AIML applications and data’s role in this transformation
  • Bridge the gap between real-time operational data (e.g., Kafka) and analytical data (e.g., Open Table Formats like Iceberg/Delta) to power high-scale analytics and AI

Chad Sanderson, CEO & Co-Founder of Gable.ai, the first Shift-Left Data Change Management platform. Chad is a seasoned data tech leader, having held key data positions at leading companies such as Convoy, Microsoft, Sephora, Subway, and Oracle. He is also the author of the upcoming O’Reilly book, “Data Contracts” and writes about the future of data infrastructure, modeling, and contracts in his popular newsletter “Data Products.”

Rodrigo is responsible for driving strategic product alignment between Confluent and its technology ecosystem. Previously at Informatica, he led its real-time and streaming analytics capabilities and managed partnerships with strategic ISV's. Prior to that, he led the product management function responsible for the award-winning Home Energy Management solution from EcoFactor, Inc, where his team implemented an Apache Kafka based platform. His experience also includes stints at Amazon’s Lab126, as well as in the optical sensor, hard disk drive and semiconductor equipment industries. He holds two M.Sc. from MIT, in Management and Engineering, and a B.Sc. in Mechanical & Electrical Engineering from Monterrey Tech.

Mike's research focuses on AI technologies, platforms, and practices that enable technology professionals to deliver applications that lead to prescient digital experiences and breakthrough operational efficiency. His key technology coverage areas are AI and emerging technologies that make software faster, smarter, and transformative for global enterprises and organizations. Read more here.