Mark Beyer

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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Monday, 08 June, 2020 / 11:15 AM - 12:00 PM IST
Augmented Data Management Forges a New Alliance Between Human and Artificial Intelligence

Struggling to keep up with challenges to optimally connect and orchestrate data — across ecosystems, platforms and "things”, data management teams increasingly turn to AI techniques to power highly adaptive data management infrastructure. What challenges are creating a need for AI in data management? How will AI impact data management? How will AI augmentation enhance data management infrastructure?

Monday, 08 June, 2020 / 06:00 PM - 06:30 PM IST
Magic Quadrant for Data Management

This magic quadrant session discuss key trends and will highlight the results of the Data Integration and Master Data Management (MDM) magic quadrants.

Tuesday, 09 June, 2020 / 10:15 AM - 11:00 AM IST
The Future of Data Management Beyond 2021

For decades, the focus of your data management architecture has been centered on the management of the data store. Concerns about replication, quality, timing, even storage devices and more are all based upon which store is holding my data now. That's over. We have entered the era of multicloud and massively distributed data utilization. Gartner ties together governance, management, quality, integration and more, to reveal a distributed integration approach that releases data from the tyranny of location.

Tuesday, 09 June, 2020 / 03:00 PM - 03:45 PM IST
Adopt a Data Hub Strategy to Unify Data and Analytics Governance and Integration

Organizations are confused (most often by vendors) who overcomplicate siloed approaches to data and analytics governance and integration. An effective data hub strategy is not complicated; it is a synthesis of best practices that can help you succeed with D&A governance and data integration, while simplifying your infrastructure. This session covers:
- What is a data hub and why is It NOT the same as a data warehouses or data lake?
- What is a data hub strategy and how does it add value to your organization?
- What are the critical starting points for a data hub strategy?

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