Next Meetup

Building, Deploying, Monitoring Cloud Native Apps using Big Data, AI and ML
This event is sponsored by Oracle. ========================================================= 6:00 P.M. - 6:30 P.M. NETWORKING / INTRODUCTION 6:30 P.M. - 7:15 P.M. Session 1 Manish Kapur, Director of Product Management at Oracle This session will provide an overview on building and deploying cloud-native apps intelligently using the DevOps tool stack. It will also touch on Oracle's Container Engine for Kubernetes apart from CI/CD, monitoring, and testing tools. 7:15 P.M. - 7:25 P.M. Q/A 7:25 P.M. - 7:55 P.M. Session 2 Shyam Sarkar, Founder and CEO, Ayushnet In this session, Shyam will talk about "Multi-chain economic model". This talk will involve Blockchain, Deep learning on image/audio/video in economic processes, cloud based deep learning/machine learning on big data for intelligent services and discovering economic models from distributed ledgers collected from economic processes. There will be discussions on possibilities for integration of AI and Relational DBMS. This talk will be based on following theme : http://www.globalbigdataconference.com/santa-clara/global-data-science-conference-98/speaker-details/shyam-sarkar-62218.html . 7:55 P.M. - 8:00 P.M. Q/A =========================================================

Oracle Building 4, SCA 23, Room # 1740

4040 George Sellon Circle · Santa Clara, CA

What we're about

There are demands for good mathematicians to write algorithms that can churn through billions or trillions of data points and show where patterns emerge. The Economist data issue (http://www.economist.com/node/15557443) raised this issue as follows: "During the recent financial crisis it became clear that banks and rating agencies had been relying on models which, although they required a vast amount of information to be fed in, failed to reflect financial risk in the real world. This was the first crisis to be sparked by big data—and there will be more". With proper management, big data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. This meetup is for big data science. Data scientists are welcome to join this group and exchange ideas.

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