Chief Data & Analytics Officers Canada Live

INVITATIONAL ROUNDTABLE:  How to Unlock Business Value through Enterprise AI

Join us over lunch (ET) or breakfast (PT) for an interactive invite-only roundtable discussion. Share your experiences, and learn from the collective wisdom of the other attendees on the issue how to go ‘beyond the buzzword’, and deliver meaningful results from Artificial intelligence that impact your company’s bottom line.

Moderated by:
Brett Olmstead, Data Scientist, Data Robot

Dial in & Welcome

Join the event in good time for important housekeeping announcements to get the most out of your attendance

Panel Discussion: Where Do We Go From Here? Establishing Prominence as a Data & Analytics Leader in a Time of Uncertainty

• How will changing economic conditions impact the role of data analytics execs? What steps should you take now to secure a positive future?
• Exploring the ambiguity and blurring lines around data, analytics, digital, and tech leadership roles: What are the mandates and what makes for effective leadership in the future?
• Is it true that 50% of data transformation projects fail? Why is this, what are the common reasons, and how can you avoid it happening to you?
• How do you balance developing a strategic approach to data analytics with the need to remain flexible to adapt to the changing priorities of the wider organization?
  

Bala Gopalakrishnan, Chief Data Officer, Pelmorex Corp / The Weather Network

Cal Rosen, Vice President Data & Analytics, Home Trust Company

Lawrence Jordan, Senior Director of Applied Analytics & Innovation, RBC Wealth Management

Presentation: The Digital Transformation Journey, How Companies & Individuals Progress to Success

• How do individuals progress from Data Wrangling to full Analytic Automation?
• How far should data analytics executives be involved in wider digital transformation strategies? 
• How can you make sure that your data strategy underpins and supports a digital transformation strategy? 
• Positioning yourself as a vital partner for success – collaborating with other key leaders

Alan Jacobson, Chief Data & Analytics Officer, Alteryx

Phillip A. Hattingh, Partner – Data and Analytics, PwC

Panel Discussion: Succeeding in the Digital Age - How Can Data Analytics Leaders Play a Critical Role in Their Organization's Modernization Journey?

• One size doesn’t fit all – What does digital transformation mean for your organization and how does this differ per business unit?
• How can you underpin all transformations with a foundation of data analytics?
• How has Covid-19 accelerated digital transformation, what will be the legacy of the ‘new normal’, and what does this mean for the future of digital?
• As digital transformation continues to evolve, what does this mean for the role of the CDAO, and the wider data analytics function, and how can you adapt to thrive in all outcomes?
  

Moderator: Dan Burrows, Client Executive, MicroStrategy

Kalyan Chakravarthy, Chief Information Officer, The Regional Municipality of Durham

Adele Pugliese, Vice President, Data Enablement and Analytics, BentallGreenOak

Dominic Fortin, AVP Business Intelligence Solutions, The Co-Operators

Intermission

Panel Discussion: A Brave New World? Building Confidence Through Accurate Outcomes

• Avoiding garbage in, garbage out – How can you ensure that your data is high quality, accurate, and bias free to avoid untrustworthy models, undermined by poor training data?
• Opening up the black box – Ensuring that decisions made by Artificial Intelligence can be explained, challenged and justified; both internally by colleagues, as well as externally by customers and regulators
• Let’s get ethical! Building a cultural of AI accountability and ensuring ethical considerations are tackled from the start, rather than being an afterthought
• What considerations should be made when utilizing AI to ensure you do no harm?

Tudor Morosan, Chief Data & Analytics Officer, Financial Crimes, Bank of Montreal

Pamela Snively, Chief Data & Trust Officer, TELUS Communications

Hondy Hung, Director, Strategy & Partnerships, Customer Insights, Data & Analytics, Scotiabank

Happy Hour Meet & Greet

End of Day One

Dial in & Welcome

Panel Discussion: Dollars from Data! Becoming 21st Century Alchemists to Extract Value and Monetize your Data

• How can you ensure that the potential value of your data is fully realized in order have a meaningful impact on the wider organization?
• What steps should you take communicate the value of data throughout your business?
• Balancing ‘quick wins’ that demonstrate immediate ROI, with longer term projects which deliver greater strategic value
• Is Data Monetization the Holy Grail? What level of direct buying, selling, and exchanging of datasets are we now seeing? Is this an opportunity to derive revenue directly from your data assets and acquire alternative data to supplement internal data? What are the common obstacles?

Rupinder Dhillon, Chief Data Officer, SVP Data and AI, Hudson's Bay Company

Selwyn Collaco, Chief Data Officer, TMX Group

Terrance D'souza, Executive Director, Advanced Analytics, Workplace Safety & Insurance Board

• What is MLOps - Challenges and Solutions for production AI projects
• How Data and IT Teams Collaborate in Production
• MLOps vs. ML Governance

Intermission

Time for informal networking with your peers, grab a drink, or use the bathroom

Panel Discusion: Improving Data Literacy to Drive Data-Driven Decision Making

• Building a data-driven culture - How can we empower staff and democratize data to deliver more informed decision making organization wide?
• What does a successful program to upskill non-data colleagues look like in practice? What level of self-service within business units should you aim to achieve, and how can this be balanced with the need for security and privacy compliance?
• How to overcome resistance, embed the transition, and achieve lasting change in which data analytics are prime drivers of wider business strategy?

Carl Lambert, Chief Analytics Officer, Artificial Intelligence and Advanced Analytics, National Bank of Canada

Alexey Shlykov, Senior Director of Information and Analytics, Walmart Canada

Hondy Hung, Director, Strategy & Partnerships, Customer Insights, Data & Analytics, Scotiabank

Presentation: Building a Scalable, Federated Data Architecture with Data Virtualization

For more than three decades, business users have demanded a unified view of organizational data. Technologists have addressed this need, over time, first with databases, then with data warehouses, and more recently with data lakes. However, these technologies have become data silos housing different types of data.

That’s where technologies like data virtualization played a critical role to provide a unified view of the enterprise information, without replicating data and delivering faster speed-to-market for products and services. As businesses go increasingly digital, business users are increasingly demanding data management capabilities – like data catalogs, data quality, and data governance – along with automation.

That’s where a data fabric, comprising of a data integration technology, AI/ML, data catalog, semantic layer, and active metadata, is becoming critical for self-service-driven data consumption.

Attend this session to learn:

• What is data virtualization and why it is important
• How to build a scalable, federated data architecture with data virtualization
• Evolution of data virtualization into logical data fabric

Paul Moxon, SVP Data Architecture & Chief Evangelist, Denodo

Happy Hour Meet & Greet

Grab a drink and catch up face-to-face with fellow attendees, plus the day’s expert speakers will be on hand for you to follow up with them directly!

End of Day Two