Toronto CDAO Virtual Executive Summit

Now is the time for real, sustainable change – not just another corporate initiative that fizzles out after a few months. The move toward a data-savvy operation shouldn’t have an end date. Join this keynote as Collibra's Stan Christiaens and Royal Bank of Canada's Jennifer Stott explore what it takes to shift an entire enterprise and embed data into its DNA.

Pull up a seat as they discuss:

• How to foster digital adoption effectively
• Why your strategy should evolve alongside the enterprise
• How a data-centered team can completely revitalize an organization

The digital transformation journey can be intimidating, but it’s never impossible. A healthy first step toward modernization could be as simple as upgrading your database — leading to more efficient scalability and a better customer experience.

Let’s talk about:

• Where your enterprise is, and where it’s headed, in its transformation journey
• Which of your mission-critical applications could benefit from a modernized database
• How you can roll out new practices to enhance customer experience — all without missing a beat

Organizations are looking beyond traditional strategies to adopt modern, future-proof data architectures to accelerate analytics. And they want to make it happen while keeping costs under control – a strategy Gartner research says is crucial for modern data management programs.

Join this interactive boardroom session to discuss:

• Limitations of legacy and traditional architectures
• Top trends for a successful data and analytics strategy
• Benefits of modern open data architectures

Recently, various industries have seized the opportunity to leverage the power of Big Data analytics, machine learning and artificial intelligence in their work. However, greater use of data is accompanied by increasing concerns and ethical challenges regarding aspects of data collection, data security and privacy.

Join Global AI Ethicist Haniyeh Mahmoudian as she discusses:

• The benefits of implementing a data governance framework and standardizing the data life cycle
• How to identify principles that will guide your quest for a more robust approach to analytics and AI
• The importance of proactively addressing the inherent concerns of analytics and AI

Harvard Business Review estimates that AI will add $13 trillion to the global economy over the next decade. Despite this, organizations struggle to actually generate tangible business value with AI, meaning their efforts have fallen short when it comes to making key processes and functions better, faster, or more cost-effective.

Join this interactive session to discuss:

• Tracking value creation as early and as often as possible
• Operationalizing AI projects in parallel to infrastructure transformation projects
• Balancing auditability and permission management to avoid stagnating the organization’s efforts

CDOs today are tasked with bringing the 360-degree view of the customer to life, providing the business with insights that incite meaningful interactions across the customer journey. As these customer-centric initiatives grow, so does the need for trusted, quality data.

Please join this session to discuss:

• Enabling data health to preventative measures easily
• Building a supportive culture across the data ecosystem for better business decisions
• Transforming consumer behavior data to empower enterprise decision making

To meet key objectives and guarantee the health of the enterprise, data and analytics leaders must ensure data is stored and cataloged properly and that teams are leveraging cutting-edge intelligence tools that help organizations maximize data opportunity and protect against regulatory compliance and other data risks. These insights, in turn, can expedite the digital transformation of the business, safeguard competitive advantage, and generate new leads for data-based revenue streams.

Join this roundtable session as CDOs discuss:

• Parameters for data governance that enable teams to thrive and protect
• Best practices in driving meaningful insights and agile innovation
• Strategies to create a baseline for organizational data literacy

Investment in data, analytics and AI innovation is consistently increasing across industries, but these efforts have not yielded the kind of transformational results companies expect. This dissatisfaction gave rise to data mesh – a holistic approach to managing scale that has the potential to help organizations achieve the kind of results they’ve been hoping for since the beginning of the Big Data Era.

Join this interactive round table to:

• Get closer to the core principles of the data mesh concept
• Discuss the basic architectural patterns
• Share experiences of how data mesh is used in practice today

Today’s organizations are collecting high volumes of diverse and dynamic data to use for modern analytics, yet they are struggling to derive insights from this data and put it to use. This is the “information gap.” It’s the inability to turn data into insights, information and knowledge to gain a competitive advantage.

Join this keynote as Matillion's Ciaran Dynes and Cisco Meraki's Hoshang Chenoy discuss how to spot information gaps by:

• Finding the right data to analyze
• Understanding, trusting and packaging the data for ease of use
• Developing the skills to analyze the data

Performing analytics can become extremely challenging when data is spread across several locations – on-premises, legacy applications and private and/or public clouds. While there’s no magic formula when it comes to analytics and data management, modernizing your data warehouse is a good place to start.

Join this interactive boardroom session to discuss:

• Methods of accessing your data to deliver faster and more agile paths to insight
• Actionable insights and best practices to empower your business for growth
• The importance of a flexible, scalable and secure data warehouse

Meet virtually for in-depth conversations with your colleagues