Accelerate Data Sharing with Unified Data and AI Governance
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Date: Tuesday, December 12, 2023
Time: 9:00 a.m. PT / 12:00 p.m. ET
Data sharing extends the value of data and increases the agility, efficiency, and resilience of business partner and customer ecosystems. It enhances organizational collaboration among internal departments, subsidiaries, and business functions, and it provides one source of truth for business KPIs, resulting in a data-driven business. Data sharing is critical to monetizing the value of data through services offered in portals, applications, and marketplaces. Successful data collaboration lays the foundation for sharing real-time analytics and AI/ML-driven insights.
Yet many organizations face complex challenges when it comes to data sharing. First, data is scattered across proprietary or legacy silos. It requires significant manual work to integrate and curate data into shareable data products. Second, data governance and security are essential to data sharing as advanced analytics and AI/ML can only be as good as their foundational data.
Join this TDWI webinar to learn how to overcome hurdles and accelerate business value from data sharing while having secure governance and lineage. Speakers will discuss how a lakehouse can support both data sharing and governance, unlocking end-to-end enterprise data value. Discussion will focus on the importance of a scalable lakehouse architecture for consolidating critical data and how it supports complete data and AI/ML governance and security.
Topics this webinar will cover include:
- Examples of value delivered by data sharing from any platform or any data type
- Best practices for modernizing your existing lakehouse to deliver flexible, scalable, governed, and secure data sharing
- Building advanced use cases in the lakehouse with secure and governed data
Guest Speakers
Zeashan Pappa
Global Lead for Data Governance
Databricks
Zeashan Pappa is the Global Lead for Data Governance at Databricks. With 20-plus years experience, he looks after GTM strategy, new product integration and data governance product roadmaps.
Maulik Divakar Dixit
Director and Sr. Azure, Databricks and Cloud Architect
Tredence
Maulik Divakar Dixit is a senior architect for cloud (Databricks and Azure) at Tredence, and has 20+ years of experience in building for Fortune-500 clients, end-to-end data engineering solutions from data ingestion to data processing to serving data to customers, while building reusable frameworks.
David Stodder