New York CDAO Virtual Executive Summit

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

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 you 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 New York CDO peers. The session will kick off with Q&A with Jacklyn Osborne, Managing Director, Data Quality Control, from Bank of America. 

2020 could be best described as a resiliency stress test with both personal and professional effects. While some leaders have thrived, others have struggled to maintain engagement and morale. How has your leadership style adapted to accommodate evolving needs during this latest disruption and how have internal partnerships paved the way to sustained success?

This keynote will discuss: 

• Trends in leadership development during the pandemic
• Incorporating introspective behavioral changes to remain agile in the ultra-competitive marketplace
• Leveraging partnerships to lay the foundation for sustained leadership development

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

Data and analytics leader’s professional development journey has no finish line – nor does that of their data talent. CDOs are tasked with creating an environment of continuous learning to adapt to difficult challenges and grow the cumulative knowledge base of the team in order to attract, retain and engage top talent.

Join this session to discuss:

• Methods to identify internal and external talent to improve your data teams
• Strategies for improving employee engagement with tools, technologies, and best practices
• Approaches for building a solutions-driven culture to foster employee retention

A data-driven organization requires incorporating AI/ML into their data discovery, governance, and data insight practices —or risk losing their competitive advantage. To generate value at the speed business demands, CDOs must adopt a flexible model that can thrive in all business scenarios; but how can data leaders solve for this while ensuring data is properly managed without impacting productivity or the customer journey?

In this session, you and your peers will discuss:

• Adaptable strategies to solve for evolving data management and governance demands
• AI/ML opportunities for advanced analytics and discovery capabilities
• Strategies for incorporating a privacy-aware program to realign corporate behavior with consumer expectations

Today’s leaders are challenged to re-envision business models, embrace new ways of engaging customers, empower employees, optimize operations and transform products and services. Hear how your peers are employing new technologies that fuel data driven solutions to these challenges within their organizations.

In this session, explore strategies for:

• Building a confident employee community that uses data to fuel innovation and critical decision making
• Balancing broad access and use of data with governance, compliance and ethical use
• Utilizing best in class technologies to improve scalability and productivity of data management activities