CDAO Canada 2025
Presentations
Day 1
For the keynote, step into the shoes of Scott Hallworth as he shares HP's transformative "way of working" journey by integrating AI and what he’s learned throughout his career in multiple industries. Scott will share how HP is embedding AI into its internal operations and end-to-end processes. Join him to discover how HP’s multi-tiered approach unlocks unparalleled digital capabilities, pushing boundaries and setting new standards in an AI-powered transformation.
Scott T. Hallworth
Chief Data & Analytics Officer and Head of Digital Solutions - HP
While nearly all the public data is represented in LLMs today, we are seeing only ~1% of enterprise data represented. Expectations have skyrocketed but leaders are constantly balancing scaling generative AI and having quality data to support each use case from existing processes and a tech stack not designed for these workloads. Furthermore, the success of generative AI hinges on the ability to harness both structured and unstructured data. Learn how leading organizations today are implementing an open and trusted data foundation to access siloed data across hybrid cloud, cost-optimize growing data workloads, and secure, govern, prepare and deliver high-quality, governed data for AI.
Edward Calvesbert
Vice President of Product Management - IBM
Data is at the heart of decision-making, yet many firms struggle to fully realize GenAI's potential due to the ever-changing nature of their information. While traditional Retrieval Augmented Generation (RAG) grounds AI in enterprise data, it often falls short with rapidly evolving datasets. Enter Query RAG—a revolutionary approach that equips large language models (LLMs) with real-time, dynamic data to deliver accurate, context-rich insights. Discover how Query RAG drives precision, agility, and actionable intelligence to keep your organization competitive in an AI-driven world.
Tailored for leaders and innovators, this session will explore how to:
Overcome challenges with integrating AI and real-time, evolving your data
Apply Query RAG to structured data for accurate, actionable AI insights
Ensure data security and compliance in AI-driven solutions
Empower your organization to lead with innovation and efficiency. Transform your data strategy to unlock new competitive advantages and drive success in the evolving landscape.
Terry Dorsey
Sr. Data Architect and Evangelist - DENODO
- Strategies to generate revenue from data, such as through data products, services, insights, or a modern data- and analytics platform
- How a modern data infrastructure and technologies supports the business strategy
- Strategies and experience with fostering a culture where data is valued and used effectively by all employees
Jean-Sébastien Michel, PhD
AVP Data Strategy - AVIVA CANADA
TRACK A: DATA & ANALYTICS
- Roles and responsibilities within data governance structure
- Developing policies for data quality, security, and privacy
- Designing processes for data collection, storage, and management
- Best practices for data integration and interoperability
TRACK B: AI
- Implementing AI models to uncover hidden patterns
- Creating intuitive and interactive dashboards
- Using visualization tools to communicate insights effectively
Cecilia (Si) Chen
Manager, AI Transformation - AIR CANADA
- What are the key benefits of integrating AI into your data strategy?
- How can AI enhance data-driven decision-making processes?
- How can you ensure your AI models are accurate and reliable?
Craig Milroy
SVP, Enterprise Architecture - Data & AI - M&T BANK
Day 2
- Ensuring that your organization has reliable data storage, processing, and retrieval systems
- Enhancing data quality and accuracy
- Fostering data literacy through training
- Democratizing data and sharing insights across the organization
- Establish the primary goals of your data governance initiative to align the team’s efforts
- Implement measures to comply with data privacy and security regulations
- Create a structured framework that outlines policies, procedures, and standards for data management
Head of Data Governance and Quality - EQUITABLE
- What are the main challenges organizations face when trying to adopt a data-driven culture?
- What strategies can be employed to develop a workforce that is proficient in data analytics?
- How can organizations ensure that their data analytics efforts align with their strategic goals?
TBC PDF Presentation