D&A leaders have a key strategic decision to make over the next few years. What does their strategic and long-term data management platform looks like and where to source it from? There are four options that this session will discuss: utilizing the all encompassing data and AI platform from their cloud service providers, extending their ISV solution providers to enable their data platform, engaging their enterprise SaaS application providers to support D&A use cases, or taking a blended approach.
talk-data.com
Speaker
Robert Thanaraj
4
talks
Robert Thanaraj equips data and analytics leaders with insights, advice and tools to achieve their mission-critical priorities around strategy, best practices, market guidance, technology selection, operating model, etc.
He can advise Gartner clients on several data management topics including:
- Optimizing data management technology landscape with Converged Data Management Platforms
- Modern Data Architecture approaches: Data Fabric, Mesh, Lakehouses, Operational Hubs, Marketplaces.
- Data Engineering practices including DataOps, Data Teams, Organization Models, Data Product Management, AI-Ready Data.
- Data Integration tools (ETL/ELT, CDC, Streaming, Data Virtualization, API, Data Preparation).
- DataOps tools for Data Pipeline Orchestration and Data Observability.
- Data Management in the cloud including Cloud Migration Planning, Multicloud Integration Strategy.
- Metadata capabilities including Active Metadata, Cataloging, Semantics, Lineage and Usage.
Bio from: gartner-data-analytics-apac-2025
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Palantir is often seen in the market as a high-cost, high-value provider. It offers products and services to develop real-time decision making application for a organization. It forward deploys its engineers in solving customer's use-cases by taking an ontology-driven data integration approach. D&A leaders seeking to understand Palantir’s delivery model would benefit from attending this session.
AI agent adoption transforms data and analytics strategy and operations. In this session, we will examine the top trends across three key themes: agentic D&A, semantics at the core and D&A p latformization.
Data management platforms emerge through the convergence of several individual data management capabilities. D&A leaders keen on data platform modernization should join this breakout session to learn about the dynamics of this emerging market and the benefits of reducing architectural silos to meet data demands for both current and innovative use cases.