Expert Panel: Next-Level Data Quality: Accuracy, Consistency and Trust
Webinar Speaker: T. Scott Clendaniel, Research Fellow
Date: Monday, July 27, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
TDWI research consistently finds that improving trust by streamlining data quality and curation processes is a top priority. It is easy to understand why. Data that is outdated, incomplete, full of errors, and/or inaccurate reduces trust in all data products. Opportunities are lost and customers and partners are dissatisfied when data quality is poor. Business innovation slows when the data curation processes that should improve data quality require slow, manual intervention and rework.
Join this Expert Panel to learn how you can take advantage of next-level data quality and curation. Panelists will discuss how AI-driven automation is becoming a difference maker in data quality processes, increasing data accuracy and accelerating anomaly detection, profiling, and remediation.
Topics include:
- Practical methods for streamlining data quality and embedding controls into operational workflows
- How to ensure data quality is a continuous, dynamic process rather than a static initiative
- Solution trends highlighting how AI increases intelligence, automation, and scalability in data quality management
Guest Speaker
Aleem Javed
Senior Product Manager
Reltio
Aleem Javed is a Senior Product Manager at SAP/Reltio, where he works on AgentFlow, Reltio’s agentic AI platform for enabling intelligent automation across Master Data Management, trusted data, and enterprise AI. He has over 10 years of experience building cloud-native enterprise platforms across data products, integrations, observability, banking SaaS, and AI-driven operations.
Previously, Aleem worked at Zeta and Morgan Stanley, combining product strategy with a strong engineering background. Across these roles, he has led products that support large-scale enterprise workflows, platform modernization, developer productivity, and data-driven decision-making.
His current focus is on helping enterprises activate trusted, high-quality data through agentic workflows, intelligent automation, governance, and scalable AI systems. He is particularly interested in how AI agents can improve data quality, operational efficiency, and customer experiences when built on a foundation of reliable enterprise data.
Date: July 27, 2026
Time: 9:00 am PT