Abdul Shaik

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Senior Director, Head of Data & Analytics Architecture & Insights
Regeneron Pharmaceuticals

A thought leader in Cloud and Data platform technologies, with over 14 years of experience in Data Platform and Cloud Technology. Deep Architecture experience in Modern technology Platforms Like Big Data, Public Cloud (AWS).Incubated multiple technology teams throughout the Carrier, including Cloud team and Enterprise Data platform team at Regeneron.Regular presenter in conferences, he has presented 22 times is different conferences ranging from, Open World, Collaborate and local OAUG conferences.Part of almost three dozen BI/DW/Big Data projects of type, BI Apps implementations, Custom BI / DW implementation, POC, OBIEE /DW/Big Data assessments, Roadmaps, Upgrades, and Exalytic Projects. He is one of the founding members of the BI Practice at Apps Associates.Key member in Apps Associates Big data Practice, he is working with other team members to develop Big Data solutions evaluating the AWS and on-premise platform for Big Data.Key Member Developing BICS (Business Intelligence Cloud Service) competency at Apps Associates.

Abdul Shaik is speaking at the following session/s

Regeneron MetaBio Data Discovery Platform

Regeneron MetaBio Data Discovery Platform is a cloud-based machine learning scientific data discovery engine that provides access to curated and contextualized data. It automates the time-consuming process of preparing data for analysis by organizing, standardizing, and compiling data from available and authorized data producers. Having these datasets available in one place, in a unified format, allows researchers to quickly extract important information about various therapeutic functions without having to worry about how to prepare or find the data. MetaBio has broad, flexible application across the business.

Attendee Takeaway:

MetaBio vastly increases our ability to globally source and make sense of data on topics of interest, augmenting human intelligence with technology to go broader and deeper in our search for meaningful and relevant data. It allows for greater utilization of our greatest resource, time, through the process of finding and structuring data to enable potentially lifesaving insights and actions. Our researchers now have the ability to view and navigate all the association within and across a much richer set of data. IT is unique in the scope and scale of the dataset aggregated, and in its ability to be addressed as an integrated, federated, and unified data store.

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