VP Data Sciences India, Rakuten
As VP of Data Science Engineering in Rakuten India, Sekhar Kalle leads the Global Data Science Platform efforts with a vision to democratize Data Sciences to all of Rakuten. He has 20+ years of experience contributing and leading High Scale Products and Platforms in Big Data, Data Sciences and Machine Learning, eCommerce, Digital Advertising, BI and Reporting.
Global Data Science Platform : Democratizing Data Sciences at Rakuten 14:00 PM - 14:20 PM
AI Democratization aims to enable Data Sciences to all employees and businesses at Rakuten.
To accomplish this goal, we need a Data Science Platform, that enables acceleration, adoption, and use of Data Sciences for building models and data science applications, providing fast and easy data access, scalable Hybrid Compute, and ML deployment.
We will be reviewing how Global Data Science Platform(GDSP) solves key pain points of Data Scientists, deep diving into the architecture, the design of key components and subsystems such as User/Team Management, Model Training Workbench, Scalable/Hybrid Compute and Storage, and On Demand Production Deployment and scaling.
Finally, we will demo GDSP's capabilities as a single platform for enabling business and users for all their Data Science and ML workflows.
Leadership in the age of AI/Data 16:00 - 16:40
Over the past couple decades, software development efforts have progressively expanded in size. Initially projects were worked on by developers located in a single company headquarters, but this grew to encompass regional offices and eventually globally distributed teams. On top of this, some projects are now worked on collaboratively through inner-sourcing and even full open-sourcing (with famous examples including the Linux Kernel, Android, Mozilla Firefox and OpenOffice). Therefore, we would like to host a roundtable discussion to review the state of affairs for highly distributed software projects, the complexities of managing them and the tools that make it all possible.
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