Toronto 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 virtual gathering to network and meet other CDO's in your Toronto community.  You will also have the opportunity to share a challenge you currently have with other CDO leaders in the community, and discuss possible approaches and solutions to your challenge with your peer CDOs.

When working with AI and machine learning technologies, data and analytics teams can get wrapped up in complex algorithms distracting them from design elements. Ramy Nassar will introduce core principles and methods for incorporating a human-centered design perspective into AI/ML technologies. Adapting strategies from the field of Design Thinking, Nassar will demonstrate practical tools used to transform how emerging technologies can be integrated into digital products, services and platforms. Join this interactive session to learn three practices that empower teams to create more impactful AI-enabled solutions and how to foster those practices within complex organizations.

Over the last decade, organizations have worked to provide the right data to the right people  by building out a strong data governance framework that encompasses people, process and technology. That same framework can be seen as a hindrance to innovation and collaboration with strict rules and procedures. CDOS must enable the organization to transform data governance into a data enablement strategy. 

This session will explore:

• Relationships between data governance, enablement, and monetization
• Strategies for communicating the value of data to leadership
• Use cases of leveraging established data stewards, business users and technologies to change the data governance approach

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

Today’s companies are facing increased competition and seeking innovative ways to remain at the top of their industries. With data at the center of everything, CDOs are challenged to re-envision business models, optimize operations and scale innovations within the confines of the enterprise. 

Join this session to:

• Debate approaches to flexible and agile data management and governance to keep pace with evolving business needs
• Discuss methods for operationalizing cost reduction processes at scale for maximum ROI
• Brainstorm how to secure business stakeholder buy-in for data-driven business strategies