“The Data Solutions for AI and Cloud”
Data has evolved dramatically in recent years, in type, volume, and velocity — with its rapid evolution attributed to the widespread digitization of business processes globally. The rise of mobile devices, proliferation of social platforms, rapid growth of mobile internet, big data, artificial intelligence, all of which has created huge demand for data solutions and led to the emergence and new developments of cloud computing, storage, edge devices, and artificial intelligence applications. In this year’s CAISS Annual Conference, industry leaders will get together to discuss the Data Solutions for Cloud and AI.
Date: Nov. 16th, 2019 (Saturday)
Time: 2:30 PM — 9:30 PM
Venue: Embassy Suite, 901 E Calaveras Blvd, Milpitas, CA 95035
Agenda:
2:30 PM – 4:30 PM Registration and Networking
4:30 PM – 5:00 PM CAISS Updates: Dr. Ganping Ju, CAISS President
5:00 PM – 5:30 PM Keynote Speech: Dr. Bill En, AMD, “Memory and Storage Scaling for AI”
5:30 PM – 6:00 PM Kenyote Speech: Yong Jiang, Facebook, “Challenges in the Era of Cloud Storage”
6:00 PM – 6:30 PM Keynote Speech – Dr. William Gao, Argo.AI, “Self Driving at Urban Core”
6:30 PM – 8:00 PM Dinner, Raffle, and Social
8:00 PM – 9:30 PM Social, Singing, and Dancing
Keynote Speaker
Dr. Bill En has 23 years of experience in the Semiconductor Industry ranging from silicon wafer R&D, process technology, circuit design and foundry technology with over 65 patents and 30 publications. He graduated from Univ. of California Berkeley with a Ph.D in Electrical Engineering and Computer Sciences in 1996. He is currently Sr Director at Advanced Micro Devices overseeing Foundry technology from initial R&D through production for all AMD products.
Title: “Memory and Storage Innovation for AI”
Abstract: The exponential growth of data and the AI to intelligently process that data has pushed the limits of memory capability. The growth of the Internet of Things (IOT) and increasing sophistication of AI tools to provide end user results from rapidly expanding databases, the need for enhanced memory will only grow. With Moore’s law scaling challenges, memory scaling is falling behind computational logic’s capabilities and need. New innovations are needed to increase memory capability to support AI requirements.
Keynote Speaker
Yong Jiang currently works as storage engineer for Facebook. He has been working in the data storage industry for more than 10 years. Prior to Facebook, he took electronic design roles in HDD manufacturing companies Seagate and Western Digital, being responsible for new product introduction (NPI), head media integration and recording subsystem optimization.
Title: Challenges in the Era of Cloud Storage”
Abstract: New technologies such as VR, AI, 5G and autonomous car will drive exponentially increasing data storage demand, which will post unprecedented challenges in the era of cloud storage. Innovations are needed across the industry to solve those challenges. In this talk, I would like to introduce Facebook’s participation in cofounding the open compute project (OCP) and its unique contribution to an innovative way of designing modern storage hardware. The OCP storage projects cover all aspects of cutting edge technologies in data storage domain. The efforts will help speed up innovations and solve the storage challenges in the industry.
Keynote Speaker
Dr. Weihua (William) Gao is a Sr. Technical Program Manager in argo.ai managing the perception system. He got his PhD in EE from Syracuse university and MBA from UC Berkeley Haas school of business. Previous he worked as a senior product manager and staff system engineer in Qualcomm Localization group. Dr.Gao is a holder of more than 100 patents worldwide
Title: “Self Driving in Urban Core”
Abstract: Argo AI is developing a state of the art L4 self-driving technology platform with a global reach, solving problems in a scalable way through advanced tech development, rigorous engineering and tight end-to-end integration with OEMs. In this talk, William will talk about Argo AI’s progress in autonomous driving, including the technical challenges, Argo’s partnership philosophy and autonomous industry’s general trend.