Put AI to Work
April 15-18, 2019
New York, NY
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Deploy machine learning for real impact: Bridge the gap between data scientists and IT (sponsored by Cisco)

Zongjie Diao (Cisco)
1:00pm1:40pm Wednesday, April 17, 2019
Location: Petit Trianon

What you'll learn

  • Explore the key ML challenges deployment companies face and their root causes


Artificial intelligence and machine learning have become some of the hottest topics for organizations large and small. However, despite the attention and sizable investment, only a small set of companies have been able to successfully bring machine learning from experiment to production at scale and realize the true potential of machine learning.

Zongjie Diao outlines the key ML challenges deployment companies face and examines the root causes. More importantly, Zongjie explores solutions in depth to demystify ML development in the enterprise.

Photo of Zongjie Diao

Zongjie Diao


Zongjie, aka ”Z”, is currently a Director of Product Strategy at Cisco’s Data Center Compute product group (DCC). DCC provides world leading compute solutions to enterprise and SMB customers. DCC’s leading products include Unified Compute Systems (UCS), Cisco Converged Infrastructure (FlexPod, FlashStack, VBlock, etc.) and Cisco’s own HyperConverged solution – HyperFlex.
Z is known to be the “Intrapreneur”, who helps drive Cisco compute core product strategy, as well as identifying adjacent and new market opportunities to drive business growth. She also leads the Product Management team for Cisco’s AI/ML infrastructure products, aiming at helping Cisco’s customers deploy AI/ML in both on-prem and multi-cloud environment.
Prior to Cisco, Z worked at McKinsey & Company as an Engagement Manager. She was appointed to be the first Engagement Manager at McKinsey’s Fast Growth Tech Practice, specialized in serving start-ups. Prior to McKinsey, she spent 6 years in Singapore as a Product Engineer at Avago and a Supply Chain consultant at iCognitive.