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  • Usman Sadiq, Cisco
    mwc 2019
    Artificial intelligence and machine learning are gaining adoption beyond the lab into real business initiatives. It is critical to have an architectural approach ensuring that AI/ML deployments can scale from proof-of-concept to production with data pipeline extending from data sources in IoT sensors, remote offices, and data center. In this session we will discuss how Cisco infrastructure can support data pipelines from the end of the earth, to the data center, and even to the cloud. You will find out how infrastructure performance, scale and flexibility can help you to accelerate and operationalize your data pipeline for successful enterprise-grade AI/ML projects.