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.
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.
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