Presented by: Mark Horseman – Data Evangelist, DATAVERSITY

When starting a Data Quality program, there are specific activities that need to be undertaken within an organization.  Luckily, these roles are recognized as part of Data Governance.  Learn about specific data roles in your organization, how to engage those roles as part of a Data Quality initiative, and ultimately launch a successful Data Quality program.

Presented by: Robert S Seiner – President and Principal, KIK Consulting and Educational Services

The linkage of artificial intelligence (AI) and data governance (DG) is not just strategic but an absolute imperative. A single framework that addresses both is the required technique to permanently link these two digital disciplines forging an innovative path forward. This session is focused on a framework that mutually addresses the pair.  

In this session, Seiner will the share the value of building a framework that includes:

• The shared core components of AI and DG.
• The common required perspectives of the organization.
• A customizable and practical framework model.
• How to complete the framework and leverage the content within.
• Using the joint framework as an effective communications and deployment tool. 

Presented by: Anne Marie Smith – Principal Consultant and Director of Professional Certification, Alabama Yankee Systems, LLC and DATAVERSITY

Assimilating data stewardship into an organization’s culture can be challenging. Most organizations that implement a data governance program use data stewards, but many are struggling to establish the right culture and organizational habits. During this session, we will explore how adopting certain best practices for communication can help the organization integrate data stewardship into their operations and how certain socialization techniques can support the development of a robust culture of stewardship for the organization’s data assets.

Topics include:

• The differences between communication and socialization, and the value of each to a thriving data governance program
• Primary communication activities for data stewards
• Measuring communication success for data stewardship
• Communication and socialization challenges for data stewardship – and some solutions

We will resume at 11:30am

Presented by: Katrina Ingram – Founder and CEO, Ethically Aligned AI

In an era dominated by data-driven decisions, the ethical handling of information is paramount. There's many ways we could use data, but how should we use it to ensure we uphold trust? Data ethics sets the stage for responsible data use and is an essential component of a data governance program. In this talk, you'll learn about the critical role of data ethics in fostering trust and accountability within organizations, as well as strategies for promoting a culture of ethical data use. 

Presented by: Lakshmi Isukapally – Principal Architect, American Express and Amol Salunkhe – Principal Engineer, American Express

In today's rapidly evolving data landscape, establishing a robust governance framework for Data and AI is crucial. This session will constitute a vision for a comprehensive Data and AI Governance platform, detailing essential functionalities such as data lineage, policy enforcement, risk management, and compliance tracking. We will discuss key considerations for successful implementation, including stakeholder engagement, scalability, and integration with existing systems. Additionally, the session will highlight emerging trends in Generative AI that organizations should consider when designing their governance strategies.    

Key Takeaways: 

• What is Data and AI governance and why it’s needed  

• Essential functionalities of a Data and AI Governance platform 

• Implementation Strategies: Strategies for effective implementation, Federated vs Centralized, focusing on scalability, integration, and stakeholder engagement 

• Emerging Gen AI Trends: current trends in Generative AI to enhance governance frameworks 

• Industry best practices 

Presented by: Scott Garner – Data Strategy Consultant, Global Data Strategy

Data Management. Master Data. Data Governance. Metadata. Data Quality.

Let’s face it. The data language we use can be hard to keep up with, even for those of us in the data community. The list of “data words” goes on and on, and it feels like there are new terms added every year. As data professionals, we may be able to communicate with each other effectively using this language, but these words simply won’t hit the mark when trying to communicate with most business leaders.

And, while we may firmly believe that our data management efforts will add tremendous value to our business leaders, the hard part is getting them to believe it too. If you’re struggling to get business buy-in for your data management efforts, it might be because you’re not speaking their language.

In this session, we’ll dig deeper into the language barrier that we often face when trying to drive data management initiatives, and you’ll learn practical techniques for bridging the gap.