Modern Data Warehousing Strategies for Accelerating Success with Data Viz, Analytics, and AI
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Date: Tuesday, June 15, 2021
Time: 9:00 a.m. PT, 12:00 p.m. ET
Organizations are excited about the potential of data visualization, analytics, and AI. However, it takes more than front-end tools and algorithms to deliver benefits. Legacy on-premises data systems are holding organizations back. Adopting cloud data platforms enables an organization’s whole spectrum of users—from data-savvy business users to data scientists to collaborative partners—to fulfill their ambitions of pursuing data insights.
Modern data warehousing and data integration are essential to providing access to (or virtual views of) data in shorter time frames. Today’s diverse users need agile and scalable data platforms that support self-service data visualization and analytics as well as advanced AI/ML development. A modern cloud data warehousing environment that is unified with a cloud data lake can make it faster and easier to provide trusted, integrated, and governed data to all kinds of users.
Join us for the third in a series of four webinars based on the recent TDWI e-book on modern cloud data warehousing. In this webinar, we will discuss how to take advantage of a cloud-based data warehousing environment to improve business-critical data visualization, analytics, and AI/ML workloads.
Topics to be discussed include:
- TDWI research insights into self-service trends and how cloud data warehousing enables higher satisfaction
- How to keep pace with increasing complexity, number, and frequency of analytics workloads
- Using a modern data warehousing environment and DevOps and DataOps methods to support AI/ML projects
- Success factors in solving training, governance, and people/process challenges that make or break advancement