AI and cloud are innovation accelerators that underpin the intelligent enterprise, and their combined use has a multiplier effect on business outcomes. Hybrid multi-cloud accelerates the development and deployment of AI at scale while AI simplifies management of hybrid multi-cloud and amplifies other emerging technologies. To drive business agility and accelerate digital transformation, an integrated and holistic cloud, data, and AI strategy is key. Join a group of your peers to discuss:  

• Ensuring that data leads your cloud transformation strategy, and that business strategy leads data

• Formulating a strategy that aligns AI, data, and cloud infrastructure

• Involving the lines of business in strategy creation and identifying possible use cases

• Evaluating organizational readiness and what it will take to infuse and operationalize AI at scale

• Ensure transparency, compliance, quality, and governance for cloud data assets

• Lessons learned and common mistakes to avoid

As the role of the CEA continues to expand and proliferate at a similar pace of the CDAO, a unique opportunity is available to leverage the roles’ complementarity to capture value-driven opportunities and build a more data-driven organization. CDAO’s are encouraged to invite their CEA’s to join them for this collaborative boardroom discussion that will address:

• Providing and communicating an enterprise view of the data landscape

• Identify integration opportunities and optimize processes

• Defining and establishing roles and responsibilities to drive better decision making

• Improve and scale the process of data analysis

• Identify critical questions that data can answer

This boardroom addresses the key elements and attributes of a modern data architecture and the considerations for customizing a modern data architecture to your global organization’s needs.

• Choosing analytics tools with the entire architecture and ecosystem in mind

• Developing and growing the skill sets needed for modernization

• Choose an approach of data architecture that can expand with your needs over time 

• Anticipating the volume of interactions with real-time data

• Organize real-time data around where processes are happening

• Staying on top of evolving modern data methods and practices and how often you need to revise your data strategy

Join this corner to collaborate with other D&A leaders on:

• How to foster collaboration and innovation amont globally distributes individual contributors and teams

• Crafting and driving a cohensive global culture that is regionally sensitive 

• Talent development, engagement and retention of distributed teams

Join this corner to collaborate with other D&A leaders on:

• Identifying your global data silos and opportunities to connect

• Enabling innovation and business value creation by strategically connecting silos

• Creating a culture of collaboration on a global scale

Join this corner to collaborate with other D&A leaders on:

• Approaches to creating a common data vocabulary

• Unique challenges that global organizations have when creating a common data language and dictionary

• Elements and best practices of global data dictionaries and catalogs

As customer-centricity continues to drive most business strategies Global CDAO’s are positioned to enable differentiation, innovation, and competitive advantage at both the global and local levels. In a multinational 

organization, this is made all the more challenging not only because of diverse and dispersed markets but also because of the variety of marketing channels utilized. Join this interactive boardroom to discuss:

• Laying a foundation for success

• Creating a global data strategy to enable personalization and customization

• Driving global personalization and customization with AI

• Balancing personalization and customization with privacy

Customer interactions are becoming increasingly digital and often take place through multiple channels— which means those data are typically captured and stored by different teams using different systems. To

realize the full potential of your customer data while maintaining enterprise-wide privacy compliance, you need a centralized, scalable, and intelligent customer data foundation. Join your peers and discuss what’s

required to:

• Achieve enterprise-wide data gravity
• Make unified customer data and business intelligence accessible to all business functions
• Manage privacy compliance and data governance across the whole organization
• Identify and implement the right technology with an eye towards ROI

One of the few areas not being negatively impacted by economic belt tightening is investment in AI

initiatives. In fact, most large companies increased their investment in AI over the pandemic and are

increasingly looking for ways to accelerate and scale AI across the enterprise. Now is the time data driven

leaders need to keep the momentum going by identifying the sources of transformative business value and

moving from experimentation to developing a robust enterprise-wide capability that is a source of

competitive agility and growth. Join this strategic boardroom discussion that will address:

•       Going fast by slowing down – how to establish the foundations and processes for success

•       Creating the vision and breaking down the silos that impede AI driven value creation at scale

•       Crafting an AI lifecycle playbook that is repeatable

•       Operating models and structures to successfully scale operational AI throughout an intelligent enterprise

•       Leveraging AI orchestration to accelerate and drive value from AI operationalization

•       Creating an AI governance model

•       Assembling multidisciplinary collaborative teams organized for scale