Operationalizing AI and ML with Cisco Data Intelligence Platform (sponsored by Cisco)
Artificial intelligence and machine learning are well beyond the laboratory exploratory stage of deployment. In fact, the speed of AI and ML deployment has a huge impact on an organization’s financial income. Yet, many enterprises struggle to operationalize machine learning and incorporate their existing data lake into the process. Chiang Yang and Karthik Kulkarni explore how the Cisco Data Intelligence Platform can help bridge the gap between AI and ML and big data.
This session is sponsored by Cisco.
What you'll learn
- Discover how the Cisco Data Intelligence Platform can help you bridge the gap between AI and ML and big data
Han Yang is a senior product manager at Cisco, where he drives UCS solutions for artificial intelligence and machine learning. And he’s always enjoyed driving technologies. Previously, Han drove the big data and analytics UCS solutions and the largest switching beta at Cisco with the software virtual switch, Nexus 1000V. Han has a PhD in electrical engineering from Stanford University.
Karthik Kulkarni is the lead big data solutions and infrastructure architect in the UCS Data Center Solutions Group at Cisco. His main focus is on infrastructure and how it enables digital transformation using emerging trends in big data, AI and ML solutions, and architecture in the data center.
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