DATE: September 18, 2024
TIME: 8:00 AM – 12:45 PM Pacific / 11:00 AM – 3:45 PM Eastern – This event has concluded, all recordings will be published within a few business days.
PRICE: Free to all attendees
Welcome to DATAVERSITY Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives you an opportunity to learn more about the available tools and services directly from the vendors that could contribute to your Data Governance program’s success.
Register to attend one or all of the sessions, or in order to receive the follow-up email with links to the slides and recordings.
Session 1: Building a Trusted Foundation for Analytics and AI Excellence: Optimizing Data Quality
As businesses transition to cloud-based applications in their modernization efforts, they encounter increasing complexities in maintaining data quality. The widespread adoption of AI technologies intensifies these challenges, as ensuring data accuracy, completeness, and consistency becomes crucial for reliable AI outputs and decision-making processes. This webinar will explore fundamental aspects of data quality in the context of analytics and AI, including:
- Why data quality and observability matter for modern data-driven organizations.
- Understanding and monitoring the state of data quality across your data environment using profiling and data observability tools.
- Implementing data cleansing processes and observability frameworks to ensure accuracy, consistency, and timely data insights.
Session 2: Build Data Trust and Ensure Reliability in the AI Era
Your organization’s data is only as valuable as your ability to make it easily discoverable, understandable and readily available to the data consumers across your enterprise who can put it to best use. And in an AI era, it’s even more critical to ensure the quality of data you share is trustworthy, reliable and AI-ready.
Attend this session and see how data intelligence-integrated data quality can help you:
- Efficiently tackle data profiling and data quality scoring using data catalog metadata
- Increase data quality visibility, beyond IT, for all data consumers to more quickly identify data fitness and establish data trust
- Leverage data observability to ensure the quality of your most-critical data sources, such as those supporting AI use, remains reliable
- Easily assess, drill into and collaborate around data quality issues to get to resolution faster
Session 3: Unlocking Data Quality: Leveraging IBM Knowledge Catalog for Data Governance, Discovery and Regulatory Compliance
In today’s data-driven landscape, ensuring data quality is crucial for informed decision-making and business success. However, with the exponential growth of data, it can be challenging to maintain data accuracy, completeness, consistency, timeliness, uniqueness, and validity. IBM Knowledge Catalog (IKC) is a powerful tool that helps organizations tackle data quality challenges by providing a centralized platform for data governance, discovery, cataloging and regulatory compliance
In this demo, we’ll showcase how IKC enables data quality management by:
- Providing a single source of truth for data assets and their metadata
- Enabling data profiling and quality assessment
- Automating data lineage and provenance tracking
- Facilitating data discovery and search
In this live demo, we’ll demonstrate how IKC can help organizations improve data quality, reduce data duplication, and increase data trustworthiness. Join us to learn how IKC can help you unlock the value of your data and drive business success.