Summary
IBM Cloud Pak for Data Version 4.6 was released at the end of 2022 and in 2023, IBM Cloud Pak for Data Express was introduced. Learn about the new features, enhancements, services, and offerings delivered in the portfolio.
Highlights of this release includes:
- New Base Services, Cartridges and Offerings: Data Replication, Watson Pipelines, AI Factsheets, Cloud Pak for Data Express
- IBM Spectrum Fusion and Spectrum Fusion HCI: Full integration to support the of running data and AI workloads including online backups and restore.
- Deployment and administrative improvements: Day 0/1 operation improvements for initial deployments and day-to-day operations.
- Support for NetApp Astra Trident Storage: certified to support NetApp ONTAP via NetApp Trident CSI drivers.
- Compliance Updates: Improvements to security compliance for Center of Internet Security (CIS).
So, join the Cloud Pak for Data Product Management team to learn what's new and get your questions answered.
Key Speakers
Sachin Prasad - Cloud Pak for Data Product Manager
Sachin Prasad is technology professional with a diverse range of experience in product management, engineering, sales, and support. He currently serves as the Product Manager for Cloud Pak for Data Platform, a position he has held for the past two years. Prior to his current role, Sachin assumed multiple technical positions, including Solution Architect, Product Architect in Engineering, Sales, and Support organizations. His expertise in these areas has enabled him to develop a deep understanding of the product and its functionalities. This understanding has lead to the implementation of numerous improvements to the platform, ensuring that delivery of top-quality features to customers.
Malcolm Singh, Product Manager – Data & AI, IBM
Malcolm Singh is a Product Manager for IBM Cloud Pak® for Data, where he focuses on the Technical Strategy and Connectivity. Previously, he was a Solution Architect for IBM Expert Labs in the Data and AI Platforms Team. As a Solution Architect in the Expert Labs, he worked with many top IBM clients worldwide, including Fortune 500 and Global 500 companies, and provided guidance and technical assistance for their Data and AI Platform enterprise environments. Now as a Product Manager, he works on establishing the roadmap for future features and enhancements for Cloud Pak for Data. Malcolm is based at the IBM Canada Lab in Toronto, working in the Data and AI division within IBM Software.
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