Hemanth Manda - IBM Cloud Pak for Data: An enterprise platform to operationalize data, analytics, and AI

An enterprise platform to operationalize data, analytics, and AI

Hemanth Manda

Sriram Srinivasan

Deepak Rangarao

BIRMINGHAMMUMBAI

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Hemanth Manda heads product management at IBM and is responsible for the Cloud Pak for Data platform. He has broad experience in the technology and software industry spanning a number of strategy and execution roles over the past 20 years. In his current role, Hemanth leads a team of over 20 product managers responsible for simplifying and modernizing IBM's data and AI portfolio to support cloud-native architectures through the new platform offering that is Cloud Pak for Data. Among other things, he is responsible for rationalizing and streamlining the data and AI portfolio at IBM, a $6 billion-dollar business, and delivering new platform-wide capabilities through Cloud Pak for Data.

Sriram Srinivasan is an IBM Distinguished Engineer leading the architecture and development of Cloud Pak for Data. His interests lie in cloud-native technologies such as Kubernetes and their practical application for both client-managed environments and Software as a Service. Prior to this role, Sriram led the development of IBM Data Science Experience Local and the dashDB Warehouse as a Service for IBM Cloud. Early on in his career at IBM, Sriram led the development of various web and Eclipse tooling platforms, such as IBM Data Server Manager and the SQL Warehousing tool. He started his career at Informix, where he worked on application servers, database tools, e-commerce products, and Red Brick data warehouse.

Deepak Rangarao leads WW Technical Sales at IBM and is responsible for the Cloud Pak for Data platform. He has broad cross-industry experience in the data warehousing and analytics space, building analytic applications at large organizations and technical presales, both with start-ups and large enterprise software vendors. Deepak has co-authored several books on topics such as OLAP analytics, change data capture, data warehousing, and object storage and is a regular speaker at technical conferences. He is a certified technical specialist in Red Hat OpenShift, Apache Spark, Microsoft SQL Server, and web development technologies.

Sumeet S Kapoor is a technology leader, seasoned data and AI professional, inventor, and public speaker with over 18 years of experience in the IT Industry. He currently works for the IBM India software group as a solutions architect Leader and enables global partners and enterprise customers on the journey of adopting data and AI platforms. He has solved complex real-world problems across industry domains and has also filed a patent in the area of AI data virtualization and governance automation. Prior to IBM, he has worked as a senior technology specialist and development lead in Fortune 500 global product and consulting organizations. Sumeet enjoys running as his hobby and has successfully completed eight marathons and counting.

Campbell Robertson is the worldwide data and AI practice leader for IBM's Customer Success Group. In his role, Campbell is responsible for providing strategy and subject matter expertise to IBM Customer Success Managers, organizations, and IBM business partners. His primary focus is to help clients make informed decisions on how they can successfully align people, processes, and policies with AI- and data-centric technology for improved outcomes and innovation. He has over 25 years of experience of working with public sector organizations worldwide to deploy best-of-breed technology solutions. Campbell has an extensive background in architecture, data and AI technologies, expert labs services, IT sales, marketing, and business development.