Transforming DataOps at DBS Bank
Webinar
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Sponsored by unravel
Thursday, July 9, 2020
11 am EDT
What You’ll Learn in This Webinar
Big data leaders are no doubt being challenged with market uncertainty. Data-driven insights can help organizations assess, and uncover market risk and opportunities that may arise during uncertain times. As businesses around the world adapt to digitization initiatives, modern data systems have become more mission critical toward continuity and competitive differentiation.
Join Unravel’s CDO & VP of Engineering, Sandeep Uttamchandani and Matteo Pelati, Executive Director, Head of Technology - Data Platform at DBS Bank as they discuss:
- How their tactical/strategic focus areas are evolving in these challenging times
- Cloud big data migration strategy, do's and don'ts
- Practical advice they can share for other leaders in the big data community
- How Unravel has helped DBS optimize their big data
Matteo Pelati
Executive Director, Head of Technology - Data Platform - DBS Bank
Matteo is the Executive Director, Head of Technology - Data Platform at DBS bank overseeing the design and development of the entire DBS big data software platform. He has more than 15 years of experience in software engineering. In the recent years he has been focusing on scalable BigData platforms and machine learning, specifically using Hadoop and Spark. Matteo has previously held different roles in startup companies and MNCs: he has led engineering teams at DataRobot, Bubbly, Microsoft, and Nokia.
Sandeep Uttamchandani
Chief Data Officer - Unravel
Sandeep Uttamchandani is the Chief Data Officer at Unravel where he leads engineering. Prior to this he was at Intuit, where he lead the cloud transformation of the big data analytics, ML, and transactional platform used by 4M+ small business users for financial accounting, payroll, and billions of dollars in daily payments.
Previously, Sandeep was co-founder and CEO of a machine learning startup focused on ML for managing enterprise systems and played various engineering roles at VMware and IBM. His experience uniquely combines building enterprise data products and operational expertise in managing petabyte-scale data and analytics platforms in production.
He’s received several excellence awards, over 40 issued patents, and 25 publications in key systems conferences such as the International Conference on Very Large Data Bases (VLDB), Special Interest Group on Management of Data (SIGMOD), Conference on Innovative Data Systems Research (CIDR), and USENIX. He’s a regular speaker at academic institutions, guest lectures for university courses, and conducts conference tutorials for data engineers and scientists, as well as advising PhD students and startups, serving as program committee member for systems and data conferences, and was an associate editor for ACM Transactions on Storage. He holds a PhD in computer science from the University of Illinois Urbana-Champaign.
