CDAO Canada
Presentations
Presentation: From Data Analyzer to Decision Enabler to Business Driver: Transforming Data Analytics Capabilities to Provide Next-Gen Insights
- Examine the maturity of your data analytics capabilities
- Articulate the end goal of a data-driven organization
- How to implement the transformation roadmap with actionable phases
Jason Wang, Chief Risk Officer
ALLSTATE CANADA
Presentation: RAG to Riches - How to realize the full potential of GenAI
In recent years, Generative AI (GenAI) has garnered significant attention for its potential to revolutionize various industries, from creative arts to data analysis. Research by Accenture has found that 98% of business leaders think that AI foundation models will be essential to their operations over the next three to five years and Goldman Sachs Research estimated that GenAI could add more than $7 Trillion to the global economy. The potential is huge.
However, the realization of this potential requires more than simply using ChatGPT to answer a few questions. Organizations must think through how they can use GenAI in practice and integrate this with their own systems and data to provide GenAI tools and solutions that are specific to the needs of the organization. Enter Retrieval Augmented Generation, or RAG. RAG is a pattern by which the GenAI LLMs are augmented with data extracted from the organization's internal (and external) systems and databases to provide better, more meaningful, responses.
This session will examine why RAG is critical to successful GenAI initiatives - whether these are internal tools to augment and enhance decision making or externally facing tools for customers, such as intelligent chatbots - and the different options for implementing RAG.
Paul Moxon, SVP Data Architectures and Chief Evangelist
DENODO
Presentation: Securing the AI Future: The Checks and Balances for Enterprises adopting Generative AI
Explore the potential of Generative AI in enterprises while addressing key concerns such as data privacy, prompt injections, hallucinations, and regulatory compliance. Learn how to overcome these hurdles to enable the safe, secure, and compliant adoption of Generative AI, paving the way for accelerated innovation for your business.
Sahil Agarwal, Co-Founder & CEO ENKRYPT AI
Presentation: Navigating the AI Era of Enterprise Analytics: Unveiling Insights & Analytics
- Understand the challenges data mature enterprises are facing as they enable self-service reporting
- Discuss how AI can be used to reduce inevitable analytics risks
- Dive into cost optimization opportunities in enterprise reporting
Logan Havern, CEO & Founder
DATALOGZ
Presentation: Empowering Finance: Unleashing the Power of Data Integrity in AI/ML Portfolio Development
In the dynamic landscape of finance and banking services, where data is the foundation for intelligent decision-making, the need for unwavering trust in data integrity has never been more critical. Financial institutions grapple with massive volumes of complex data, and the accuracy and reliability of this information directly influences strategic initiatives, risk management, and regulatory compliance – especially when digital transformation, mergers, and acquisitions are the norm. The consequences of inaccurate or inconsistent data can cause downstream issues through an organization, eroding stakeholder confidence, exposing vulnerabilities, and jeopardizing the very foundation on which financial institutions operate.
- The importance of data integrity in finance and overview how to unlock the full potential of your AI/ML initiatives to fortify the trust in your organization's data foundation.
- Introduce the complex process of building a resilient and trustworthy data ecosystem.
- Preview a few real-world challenges and use cases from large banks and financial institutions.
- What leading financial institutions globally can start down the path to have confidence in their data driven endeavours?
Timothy Girouard, Lead Product Manager
TRICENTIS
Presentation: Trailblasing the AI Epoch: Evolving Chief Data Officers through Innovative Models, Dynamic Governance, Ethical Frontiers, and Automation Prowess
- Join us for an exhilarating session that delves into the forefront of the AI revolution and its impact on the role of Chief Data Officers. As organisations navigate the ever-changing landscape of AI, CDOs are at the helm of this transformative journey. This session will provide unique insights into how CDOs are innovating, governing, and leveraging AI to shape the future of data-driven decision-making.
- Are CDOs truly the captains of AI innovation or just passengers on this technological train?
- How does the evolving role of CDOs in embracing AI technologies impact their collaboration with other C-suite executives and departments within organisations?
- What emerging trends and best practices for AI adoption should CDOs consider as they continue to shape the future of data strategy and governance within their organisations?
Temi Odesanya, Director - AI Governance Automation
THOMSON REUTERS
Presentation: Medtronic's Data Revolution: Unifying Analytics for Optimal Business Impact with Power BI
In this business transformation talk, we will explore the exciting journey of the Medtronic Global Operations & Supply Chain Analytics & Insights organization. We will discuss the pivotal shift towards integrating analytical resources, the development of a globally minded team using Power BI for comprehensive business analytics system, and how this resulted in a growth from 15,000 to a remarkable 450,000 views. We'll shed light on our unique approach combining centralized uniformity with dedicated squads for agility. We'll delve into how we transformed these insights into actionable steps, using Power BI and Winshuttle, linked with Power Automate, resulting in 240,000 hours of automated work. This isn't just a talk about reorganization or tech revamp, it's a deep dive into a transformational approach to analytics, automation, and operations.
Luciano Miranda, Vice President - Advanced Analytic - Global Operations & Supply Chain Permanent
MEDTRONIC
Presentation: Smashing silos: How iA Financial Group is fast-tracking its client-centric transformation with data and analytics.
iA Financial Group's transformative journey focuses on breaking down silos within the organization to foster a more collaborative and client-centric approach. The accelerated client-centric transformation is propelled by the strategic integration of advanced data and analytics tools, enabling a holistic view of customer interactions and needs. Through the implementation of innovative technologies, iA Financial Group aims to streamline processes, enhance decision-making, and deliver personalized financial solutions that cater to the unique preferences and requirements of their clients. This presentation will delve into the key strategies employed by iA Financial Group, showcasing how the synergy between breaking silos and leveraging data and analytics is propelling the company towards a more agile and responsive client service model.
Clément Brunet, Vice President Client Data and Analytics
I-A FINANCIAL GROUP
Presentation: Generative AI to Build Integration
Refine your data accessibility to be inclusive, allowing individuals with diverse
skill sets and from any location to effortlessly construct integrations. The realm of integration has
undergone a paradigm shift due to the influence of artificial intelligence. As substantial language
models progress, it prompts the inquiry: which players are leading the way in this evolutionary
competition, and what key elements underlie their triumphs?
Shawn Aker, Advisor Solution Architect
BOOMI
Presentation: Value-Added Data Governance: Building Your Team for Success
Learn the nuances of creating a high-performing group of data professionals who can turn your organization's data challenges into opportunities. From identifying talent to promoting collaboration, discover the key steps to constructing a data team that thrives in today's data-driven landscape. Additionally, Alex Tait will provide insights on obtaining business support for your data governance program, showcasing governance as a value-add activity, and establishing a robust Data Practice function within your team.
Alex Tait, US Chief Data and Analytics Officer - Enterprise Data & Analytics
BMO
Presentation: How to Build an Innovative Agile Data Practice That Is Ready for AI
Unlock the potential of Generative AI with trusted data. Discover key strategies and techniques for building agile and innovative data practices that deliver tangible business impact today and are ready for the next disruption.
Carolyn Duby, Field CTO
CLOUDERA
Presentation: AI Readiness: Are you ready for the future?
Attendees are guided through the critical considerations businesses must address to assess their readiness for integrating artificial intelligence (AI) technologies. This topic will explore the critical areas of evaluating one's readiness for AI adoption and aligning it to business strategies and objectives. Attendees will leave with a deeper introspection into their own data and AI strategies and if they are ready to enter the next age of technological advancements.
Dr. Patrick J. Wolf, Business Strategy & Value Engineering Advisor
QLIK
Presentation: National Bank of Canada's On-Premise to Cloud Shift for Call Center Analytics
Embark on a success journey with Luis Angel Villegas-Armenta, Chief Data Engineering Analyst at the National Bank of Canada. Discover how the cloud empowers advanced analytics infrastructure and hear Luis share insights on overcoming challenges during the on-premises to cloud transition. Join us to be inspired by the current achievements and future possibilities of a cloud-powered analytical domain data store at the Bank of Canada's call center.
Luis Angel Villegas-Armenta, Ph.D, Chief Data Engineering Analyst
NATIONAL BANK OF CANADA
Presentation: Responsible AI: Building Ethical Large Language Models
This talk focuses on Large Language Models (LLMs) and the reasons behind the need for responsible development and deployment of LLMs. We'll explore their impressive capabilities in understanding and generating human-like text, and how this versatility makes them valuable across various sectors. However, this power comes with significant risks, including ethical dilemmas, privacy concerns, and potential biases.
With increased complexity and advanced in capabilities we must put in place the right guardrails to regulate this technology. The session will offer insights into building responsible AI, emphasizing the development of LLMs that are ethical, transparent, and respectful of user privacy. Attendees will learn practical strategies to implement these principles in their AI projects, ensuring their work not only pushes the boundaries of innovation but also upholds the highest standards of responsibility. This talk aims to empower data professionals to be at the forefront of shaping the future of responsible and ethical AI.
- Understanding the power and potential pitfalls of Large Language Models.
- Best practices for ethical, responsible, transparent, and privacy-conscious AI.
- The need for guardrails and regulations of AI and an overview of best practices
- Empowering data professionals to lead ethical AI innovation and our role as data officers when it comes to standing up responsible AI applications.
Alina Rivilis, Director Data Science
HOME TRUST COMPANY
Presentation: Ethics of AI in HR: Fairness, Accountability, and Transparency
- Explore the dynamic landscape of artificial intelligence in Human Resources, unraveling how it's reshaping traditional practices from hiring to employee management.
- Dive into the critical realm of fairness in AI, dissecting the potential biases that may lurk within algorithms and discovering strategies to ensure that AI-driven HR remains an unbiased force.
- Delve into the intricacies of accountability in the age of AI, discussing the pivotal question of responsibility when decisions are made by algorithms. Uncover the challenges, legal nuances, and consequences associated with the AI-powered HR landscape.
Sheikh Alim, Director - HR Experience & Data
AIR CANADA
Presentation: Collaborative Innovation with GenerativeAI
Generative AI is revolutionizing the field of data and analytics by enabling unprecedented levels of data interpretation and generation. This cutting-edge technology is fostering a new era of collaborative problem-solving, where AI-generated insights are integral to strategic decision-making processes. Far from merely enhancing traditional analytics methods, Generative AI is carving out new pathways for innovative, data-driven approaches. Our discussion will culminate in exploring the avant-garde impact of Generative AI, delving into its role as a catalyst for pioneering developments and groundbreaking methodologies in the ever-evolving landscape of data analytics.
Saeid Abolfazli, Global Head of Data Science – RAKUTEN KOBO