Live Webinar September 11th, 2019, 10:00 am – 11:00 am EDT
Activity Type: Education – Course or Training  1 Hour  1 PDU
Provider: Gartner Webinars

As artificial intelligence (AI) and (ML) initiatives mature, enterprises face significant scalability and operational challenges while struggling to systematically productionalize their ML pipelines.

ML architectures tend to be constrained by data gravity, compute requirements and model integration complexities.

In this webinar, Gartner for Technical Professionals expert Soyeb Barot (LinkedIn profile), Gartner bio) Gartner Sr. Director Analyst examines the framework to build and deploy ML models in production alongside operationalizing the machine learning development lifecycle (MLDLC).

Soyeb also will set out the implementation strategy for an architecture to deliver AI-based systems.

Discussion Topics:

• Why organizations struggle with their machine learning pipelines
• The framework to build and deploy ML models in production
• The implementation strategy for an architecture to deliver AI-based systems

Return to the web page to watch both the live and on-demand webinar.

Click to register for:
Design Scalable ML Architectures
To Deliver AI-Based Systems

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