Summary
Join us for an interactive virtual event where we will explore integrating IBM Z with Data Lakehouse architectures. By unlocking your mainframe data, you can significantly enhance its value, making it accessible to modern data platforms and empower Financial Services organizations to develop new analytics and AI use cases.
We will also cover IBM Data Gate for watsonx. This game-changing tool revolutionizes data synchronization between IBM Z and the Apache Iceberg table format, seamlessly integrating cloud data warehouses such as Snowflake, Databricks, DB2, Netezza, and more with IBM Z/OS data.
Don’t miss this opportunity to explore the future of data integration and analytics. Register now to secure your spot! We look forward to seeing you there!
By attending, you'll learn how to:
- Detect fraud with advanced analytics
- Understand client behavior through insightful data analysis
- Build predictive AI models to improve business outcomes
- Learn about IBM's latest offering IBM Data Gate that was just launched at Think 2024
Key speakers
Brian Dragunas, Business Unit Executive, Data & AI, Financial Services, IBM
Brian currently services IBM clients across the financial services sector and has responsibility for Data & AI software including watsonx. In this role, Brian works with clients to implement Machine Learning, Generative AI, Lakehouse, and Data Fabric capabilities. Over the past 10 years Brian has worked in a variety of sales leadership, engineering, and finance roles. Before IBM, Brian studied at the University of Massachusetts Amherst where he received degrees in Computer Science and Marketing.
Daniel Martin, Director and CTO, IDAA and Db2 Data Gate, IBM
Daniel Martin is the Director of Development and CTO for Analytics on IBM Z, located in IBM's Research & Development Lab in Boeblingen, Germany.
Daniel had various development and software architecture roles during his career, including working as the lead technical architect for the Db2 Analytics Accelerator and Db2 DataGate. He regularly speaks about these products and related technologies at industry conferences and shares his expertise on how to build modern applications that need mainframe data.
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