Washington, DC CDAO Virtual Executive Summit

Data literacy is essential for employing self-service analytics, yet many organizations continue to suffer from a lack of strategic prioritization. Learn approaches on how to successfully improve data literacy and self-service analytics throughout your organization.

In this session you will explore strategies for:

• Optimizing business data literacy to achieve an empowered analytics-driven culture

• Expanding data and analytics core competencies to increase self-service capabilities

• Providing quality data in an agile manner that accelerates value delivery

Business leaders struggle with immature data environments and cultural obstacles when shifting to a data-driven organization. Learn how your peers are automating the foundation of trusted data to deliver business value and enable compliance, data privacy and modernization efforts through AI and Machine Learning.

In this boardroom we will discuss:

• Overcoming cultural challenges that inhibit enterprise data transformation
• Building on strong foundational elements to support innovation and disruption
• Measuring and delivering ROI through automated tooling

Join this informal and interactive networking session to connect with your Washington, DC CDO peers. In this session, the Washington, DC community will have the chance to share their takeaways from the program in small groups and walk away with at least one new connection.

Traditional data governance is aimed at protecting the integrity of key business data, focusing on data quality and lineage. But in the age of modern analytics, there is a renewed emphasis around increasingly raw data, creating the overwhelming task of managing and protecting hundreds if not thousands of data sources. Join Joe DosSantos, CDO of Qlik, as he outlines how modern data discovery and catalog techniques can advance data governance and how these techniques can accelerate the production of high value predictive models at speed in a Data Ops methodology.

To unleash the full potential of data and analytics, organizations must understand the objectives, techniques, and limitations of their data. Where is your organization on the advanced analytics maturity continuum?

Join this session to discuss strategies for:

• Developing an organizational plan for execution on insights to optimize the current environment and understand your customer

• Effective uses of advanced analytics to achieve a better bottom-line

• Best practices for removing the fear surrounding AI and emerging technology

Machine learning models can turn from asset to liability when faced with conditions not encountered in training data sets. Currently, most companies do not understand the need for operationalizing ML, or are struggling to deliver, observe and improve production of ML solutions. As ML matures from research to applied solutions, MLOps can be introduced to trace the data pipeline for improved overall model quality while accommodating for changing conditions and robust governance frameworks.

In this session you’ll explore:

• Challenges to deploying machine learning models and how to overcome them
• Mastering an adaptive governance framework to minimize risk and accommodate evolving regulatory compliance
• Capturing and quantifying value realized by implementing MLOps solutions

Now more than ever, companies are facing increased competition and are seeking ways to stay at the top of their industries. Learn how your peers are leveraging their data and analytics capabilities to maintain a competitive advantage and plan for tomorrow.

This keynote will discuss:

• Best practices for utilizing data as a differentiating asset

• Strategies for effective change management

• Leveraging information to impact enterprise-wide future business strategy