CDAO Canada Public Sector schedule

• This session explores real-world case studies from Estonia and Brazil, showcasing how these nations transformed data from a mere resource into a strategic asset. 

  Key takeaways: 

  • The impact of data governance on organizational success 
  • The intricate relationship between data quality, security, and compliance 
  • How data governance empowers confident, data-driven decision-making 

  "Elevating Data Governance" provides a compelling analysis for organizations navigating the data-driven world. Learn how meticulous data management fosters not only effective service delivery but also contributes to a fairer society. 

Canada Post is committed to being a data driven business and over the past several years the Advanced Analytics team has focussed on descriptive analytics (what happened) and predictive analytics (what will happen). Recently we have increased our analytics maturity by including prescriptive analytics with scenario planning and simulations. Our next goal is to go beyond even prescriptive analytics into a fourth level called integrated analytics. In this presentation, I will: 

• Explain the evolution of descriptive, predictive, prescriptive, and integrated analytics 

• Provide examples of recent projects at each maturity level 

• Discuss how to provide tools to seamlessly guide business decisions with ML/AI 

Join us for an engaging session where we delve into the transformative potential of Generative AI technologies. Learn how Retrieval Augmented Generation (RAG) can empower your agency to harness the full benefits of Generative AI. Discover strategies for optimizing your agency's data readiness to fuel AI initiatives effectively.  

In the session, we will explore: 

• Common hurdles such as data sprawl and distributed data environments 

• Best practices for safeguarding sensitive data and ensuring compliance with stringent privacy regulations. 

• The knowledge and tools needed to establish an agile data foundation and drive innovation in your agency with Generative AI. 

• Tired of drowning in data? This talk dives into the secret weapon for data-driven success: data governance. 

    

  Learn how to: 

  • Turn messy data into actionable insights 
  • Make confident decisions beyond just AI 
  • Navigate the data deluge with proven strategies 
  • Real-world examples and best practices will show you how to harness the power of your data for lasting success. 
    

  Moderator:  Tommy Gardner, Chief Technology Officer - HP FEDERAL 

  Celio Oliveira, Secretariat of the Executive Data Governance Steering Committee - GOVERNMENT OF CANADA

• What data skills and competencies are critical for government agencies to thrive in the age of analytics? How can we effectively bridge the data literacy gap within the workforce? 

• What are the most effective approaches to upskilling government employees in data analysis, visualization, and storytelling? 

• How can government agencies foster a data-driven culture that encourages evidence-based decision-making across all levels? 

• How can we measure the return on investment for data upskilling initiatives, demonstrating the value in improved service delivery and resource allocation? 

Moderator: Darrell Bridge, Senior Data Analytics Strategist  

CITY OF OTTAWA 

Carol Wilson, Director, Advanced Analytics 

CANADA POST 

Chris Valiquet, Director, GC Data Community  

CANADA SCHOOL OF PUBLIC SERVICE 

Karem Elsayed, Senior Advisor  

 GOVERNMENT OF CANADA  

• Fireside Chat: How Can We Bridge the Data Divide? Overcoming Interoperability Challenges for Effective Data Integration 

   

  In 2024, the Canadian public sector faces a pivotal question: How can we bridge the data divide? The key challenge is interoperability - how do different data systems and technologies across government departments integrate seamlessly? This isn't just a tech issue; it's about creating a unified data language. Why is this crucial? Because effective data sharing is vital for informed decisions and better public services. As we navigate these challenges, we must ask: Are we ready to forge a path toward a data-integrated future in Canada's public sector?   

   

  Moderator: Tommy Gardner, Chief Technology Officer  

  HP FEDERAL 

   

  Marc-Antoine Auger, Director, Data Delivery & Enablement  

   EXPORT DEVELOPMENT CANADA 

• The citizens we serve are experiencing the transformative effects of Generative AI. Government data leaders are also excited about the use of it within their respective agencies, but many are facing a similar challenge: the insights are only as good as the data that AI models reason over. Without a solid data foundation, governments will struggle to realize the full operational value of Generative AI and will face increased risks of inaccuracies, inefficiencies, biases, and security vulnerabilities. This session will provide an overview of how government data leaders can ensure their agency’s data is ready for Generative AI to help power decision-making and enhance citizen services. 

Infrastructure Canada is implementing an AI Framework to pave the path for ethical and responsible use of AI in practice. With guidelines, tools and project governance designed to address business challenges and opportunities first, AI will be used in a practical, efficient, and sustainable manner to improve the efficiency and accuracy of Infrastructure Canada’s operations. With four use cases from across the product lifecycle - from experimentation, to scaling a pilot project, to testing and finally lessons learned from AI in operation, this presentation can shed light on how to set up projects with implementation in mind, measure success and understand the change management needed to take AI from theory to practice in a government department. 

• • Why improve data & analytics maturity in the Canadian public sector? 
  • What is data & analytics organizational maturity? 
  • How to achieve data & analytics maturity? 
  • Key success factors and recommended next steps 

• • How can we cultivate a culture of collaboration and foster open data sharing across government departments in the public sector? 
  • What barriers need to be removed to ensure seamless access to data for efficient decision-making and service delivery? 
  • How can robust data integration practices be implemented to consolidate information from various government agencies into a unified platform? 
  • How can cross-functional teams be empowered with comprehensive data insights to better address public sector challenges and enhance citizen services? 

   

  Moderator: David Dawod, Manager, Data Analytics  

  ELECTRICAL SAFETY AUTHORITY 

   

  Byron O'Byrne, Head of Data, Asia-Pacific Branch 

  GLOBAL AFFAIRS CANADA 

   

  Freda Lam, Manager, Safety Programs 

  ELECTRICAL SAFETY AUTHORITY 

   

  Darryl Kingston, Executive Director 

  DIGITAL GOVERNANCE COUNCIL 

   

  Kevin Bohan, Director of Product Marketing 

  DENODO 

The Bank of Canada has a wide and diverse base of data users across its functions. The diversity of use-cases and business processes has necessitated a flexible approach to accommodating user requirements in data infrastructure design and selection, and in data and use-case delivery. This presentation will explore the evolution and diversity of the Bank of Canada's data infrastructures. It includes a variety of platforms such as cloud data lakehouses, on-premise high-performance computing, traditional on-premise data infrastructures, and off-lake cloud infrastructures. Erik will discuss how the Bank’s diverse data user population and use-cases continue to influence the evolution of technology and processes at the organization. 

This panel will delve into the ethical and practical considerations surrounding the use of AI in the public sector. Panelists will discuss strategies for Responsible AI to ensure transparency, accountability, robustness, fairness, and the like when building or onboarding AI Systems in the public sector. Topics may include the development of Responsible AI frameworks, alignment with regulations and international standards, and the importance of stakeholder engagement in shaping Responsible AI practices, guidelines, and policies. 

What practical strategies exist for striking the perfect balance and building public trust? 

Moderator: Stenio Fernandes, Assistant Director, Data Science/AI Innovation  

 BANK OF CANADA    

Sakshit Sharma, Data Engineer  

 CITY OF OTTAWA 

Swapnil Kangralkar, Data Science Manager - Operations Intelligence  

CANADA POST

• Overview of population health management in Ontario 

• Recent progress in analytics and reporting 

• Identification of the barriers for enhanced reporting 

• Opportunities for the future 

• How can we harness data management, integration, and analysis to simplify challenges in the public sector? 

• What role does business intelligence play in shaping public policy outcomes? 

• How can we elevate data literacy across government departments? 

• In what ways can technology and leadership drive the integration of data across various government agencies? 

Moderator: Tara Myshrall, Regional Vice President 

QLIK 

Swapnil Kangralkar, Data Science Manager - Operations Intelligence  

CANADA POST 

• • What methodologies and technologies ensure data integrity, security, and accessibility in a changing regulatory and cybersecurity environment? 
  • Emerging Tech for Government: How can cloud-based architectures and AI analytics be used to strengthen data infrastructure against threats and disruptions? 
  • Public Sector Best Practices: What case studies and best practices can we learn from to optimize data infrastructure for resilience and scalability? 

   

  Moderator: Tara Myshrall, Regional Vice President 

  QLIK