IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS 2020)
Session Keynote-3
Keynote 3
Conference
9:30 AM
—
10:15 AM HKT
Local
Dec 2 Wed, 5:30 PM
—
6:15 PM PST
Towards the Acceleration of Enterprise AI
Hui Lei (VP, Futurewei Technologies)
2
As much as enterprises are eager to embrace AI to innovate products, transform business, reduce costs, and improve competitive advantages, they find it very difficult to productionize AI and realize its value. Despite a good number of AI pilot projects for evaluation purposes, only a small portion of those have turned into revenue-bearing production. Some industry analysts have pegged the enterprise adoption of AI at less than 20%, and the world is still far away from AI democratization. Surprisingly, difficulties with productionizing AI have little to do with core machine learning algorithms and techniques. Instead, they have a lot to do with the huge leap required from the development of machine learning prototypes in lab settings to the development of large-scale enterprise-grade AI systems. In order to adopt AI at scale and minimize time to value, enterprises must solve problems in a wide variety of areas including infrastructure, data, skills, trust, and operationalization. That, in turn, opens many opportunities for research innovations. In this talk, I will discuss the current state of enterprise AI and sample the associated technical challenges. I will also present some research directions that will advance the state of the art and help unlock AI?s potential to businesses and society.
Session Chair
Song Guo (The Hong Kong Polytechnic University)
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