Building AI You Can Trust: Driving Business Value with Data Quality, Observability, and Governance
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Thursday, December 12, 2024
Time: 9:00 a.m. PT / 12:00 p.m. ET
Recently, TDWI has observed that organizations are feeling a lot of pressure to implement AI and generative AI. Given this, AI needs to be trusted. Creating trusted AI systems starts with a commitment to data quality, observability, and governance—three important pillars that reinforce one another. However, TDWI research consistently finds that many organizations struggle to trust the quality of their data, a foundational issue that can hinder the success of AI projects. Observability can help by enabling teams to monitor data in real time and detect issues earlier. Governance is also a top priority in TDWI’s surveys, emphasizing the critical role it plays in defining policies, controlling data access, and ensuring compliance.
Woven together, data quality, observability, and governance can create a robust framework that supports trustworthy AI. This combination empowers organizations to develop AI systems that are not only accurate and actionable but also secure and compliant. Join this webinar featuring experts from Alation, Monte Carlo, and Databricks to discuss how these three core elements can help businesses derive maximum value from their AI initiatives, what this involves, and how to incorporate these concepts into your data ecosystem. Topics include:
- Trusted AI: What’s involved?
- Drilling into data quality, observability, and governance – what is different with AI?
- Building a data ecosystem that supports trusted AI
- Best practices for getting started
Guest Speakers
Steve Wooledge
VP of Product Marketing
Alation
Steve Wooledge is the VP of Product Marketing at Alation, where he leads strategic initiatives to drive awareness and adoption of data intelligence solutions. With over 20 years of experience in enterprise software and a deep focus on data management and analytics, Steve has a proven track record of helping organizations unlock the full potential of their data. Previously, he held key marketing leadership roles at companies like Alteryx, MapR, Teradata, and SAP/Business Objects where he played an instrumental role in bringing innovative data and analytics technologies to market.
Bryce Heltzel
Product Manager
Monte Carlo
Bryce Heltzel is a Product Manager at Monte Carlo, where he focuses on building solutions to ensure data reliability and observability at scale. With experience building data quality tooling for the largest Workday deployments at Alight, and driving adoption of governed analytics at Google Cloud and Looker, Bryce has a deep understanding of the challenges organizations face in managing trustworthy data for AI and analytics.
Raja Perumal
Alliances Director
Databricks
Raja Perumal is an Alliances Director at Databricks, focused on independent Business intelligence and Data Governance ISVs. He has spent 10 years in Analytics consulting helping organizations deal with large amounts of data before working at Alation and Snowflake.
Fern Halper, Ph.D.