Every AI effort begins with data, uses data, fixes data, and delivers assertive decisions and outcomes. Data engineers are expected to assure that data used in everything from simple recommendation bots to highly sensitive interactions that include significant risk issues. In this session, we cover the top data management concerns that must be covered when deploying AI solutions.
Speaker Bio
Mark Beyer
Distinguished VP Analyst
Mark A. Beyer is a Research Vice President and Distinguished Analyst in the ITL Data and Analytics group. Mr. Beyer covers broad data architecture solutions including data management and its intersection with use cases and data governance issues. His most recent areas of client issues and research include adapting best practices for data management to remove false distinctions between cloud, on-premises and hybrid fallacies. With a combined direct experience as a power user, application developer, implementation project manager and data architect, he focuses on practical choices when possible and pragmatic delivery when choices are limited. His more aggressive research includes Gartner Maverick contributions and data integration disruptions while keeping healthy skepticism involved where needed.
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Tuesday, 04 April, 2023 / 05:45 PM - 06:15 PM JST
Forbidden Questions Bold Data Engineers Should be Discussing With AI Aficionados
Wednesday, 05 April, 2023 / 12:30 PM - 01:00 PM JST
What Every CDAO Should Learn About Data Management
Centralization of data management is not always a good idea, but sometimes it is. Enterprise data can use distributed and federated governance and let the owners do more than half of the governance work. In this session, we will cover the many false assumptions around data management, the resulting mistakes and how to avoid them.
Thursday, 06 April, 2023 / 11:00 AM - 11:30 AM JST
State of the Data Integration Market: Top Trends That Can Transform Your Data Engineering Practice
Data Integration is evergreen — it was always foundational to any resilient data management strategy. This session gives guidance on:
1. What are the key trends guiding the data integration market?
2. How should organizations evaluate and inculcate new data integration technologies in their data engineering portfolio?
3. What impact will these new trends have on their broader data management infrastructure and how to plan for it?