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Abstract:
This talk addresses how enterprises can reduce risk by taking a practical approach with their AI initiatives from conceptualization to deployment by evaluating business value, managing open source effectively, creating development environments that economically scale over time as the needs grow, and creating effective workflows based on data movement. By taking this approach to AI, enterprises customers can make incremental investments for success while overcoming the complexity of this new technology
This talk addresses how enterprises can reduce risk by taking a practical approach with their AI initiatives from conceptualization to deployment by evaluating business value, managing open source effectively, creating development environments that economically scale over time as the needs grow, and creating effective workflows based on data movement. By taking this approach to AI, enterprises customers can make incremental investments for success while overcoming the complexity of this new technology  Back
 
Topics:
AI Application Deployment and Inference, AI and DL Business Track (high level)
Type:
Sponsored Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S91000
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