July 10, 2018, 6:30-8:30PM

Speaker:
Bhairav Mehta
Data Science Manager at Apple Inc

Location:
Cadence / Bldg 10,
2655 Seely Ave, San Jose, CA (map)

(Register here)

IEEE Computer Society of Silicon Valley

PROGRAM
6:30 – 7:00 PM Networking & Refreshments
7:00 – 8:15 PM Talk
8:15 – 8:30 PM Q&A/Adjourn

Abstract:

Digital world has produced efficiencies, new innovative products, and close customer relationships globally by the effective use of mobile, IoT (Internet of Things), social media, analytics and cloud technology to generate models for better decisions. Blockchain is recently introduced and revolutionizing the digital world bringing a new perspective to security, resiliency and efficiency of systems. While initially popularized by Bitcoin, Blockchain is much more than a foundation for crypto currency It offers a secure way to exchange any kind of good, service, or transaction. Industrial growth increasingly depends on trusted partnerships; but increasing regulation, cybercrime and fraud are inhibiting expansion. To address these challenges, Blockchain will enable more agile value chains, faster product innovations, closer customer relationships, and quicker integration with the IoT and cloud technology. Further Blockchain provides a lower cost of trade with a trusted contract monitored without intervention from third parties who may not add direct value. It facilitates smart contracts, engagements, and agreements with inherent, robust cyber security features. This paper is an effort to break the ground for presenting and demonstrating the use of Blockchain technology in multiple industrial applications. A healthcare industry application, Healthchain, is formalized and developed on the foundation of Blockchain. The concepts are transferable to a wide range of industries as finance, government and manufacturing where security, scalability and efficiency must meet.

Bio:

Bhairav Mehta

Bhairav Mehta is a Senior Data Scientist and Technical Program Manager with 14 years experience in Analytics, Data Science, AI/ML, Big-Data and Program management at Fortune 10 companies (Apple, Qualcomm, Ford) and startups (MIT Startup) in various industry verticals. Focused, highly dependable and detail-oriented solutions architect offering exceptional problem solving, troubleshooting skills and a talent for developing innovative solutions to unusual and difficult problems. Demonstrated performance in leading high performance teams in delivery of actionable solutions to business problems. Extensive education with 5 masters degrees in engineering, statistics (Cornell), computer science (GeorgiaTech) and MBA (Cornell) from Ivy league University.

Open to all to attend

(Online registration is needed. If you did not register, seating is not guaranteed.)