60-minute interactive labs that tackle specific capabilities and topics around Analytics & AI, each addressing at least one of our three key summit theme.

 

Lab 1

The Power of Listening to Your Customers

Organizations can no longer rely on a top-down approach for decision-making. This lab will demonstrate how adopting a customer centric mindset can enhance the value and insights generated by advanced analytics in informing customer experiences and strategy. Learn leading industry practices for consumer business organizations in becoming more customer centric in their decision-making as well as how they leverage advanced analytics to enable this approach.

 

Lab 2

The insight driven financial service organization

The traditional lending environment is being disrupted by FinTechs that have built lean organizations which leverage the machine to make decisions and rapidly test, learn, and change the customer experience. This lab will demonstrate how becoming an Insight Driven Organization can turn ‘Science Experiments’ into deployable customer strategies that enable a platform of continuous learning.

 

Lab 3

The insight driven public sector organization

Discover how analytics are used by Public sector organizations to support service delivery, policy development, and evidence-based decision-making. In this lab, best practices from Insight Driven Organizations - IDO - will be highlighted to allow you to walk away with an understanding of what advanced analytics maturity looks like and how you can accelerate your journey to becoming an IDO.

 

Lab 4

Engage the right analytics talent

Data science is not a job title: it is a process. Find out how you can improve agility and quality of your insight process through fourteen core analytics capabilities. This lab will allow you to reflect on what three capabilities your organization need to add or enhance in order to unlock your analytics advantage.

 

Lab 5

Optimize your analytics structure

Seventy five percent of Canadian organizations report siloed and fragmented analytics teams. Find out how to harness analytics capabilities in your organization design and learn how other organizations have implemented strategic analytics operating models.

 

Lab 6

Introduction to rapid prototyping for analytics

Too often analytics projects are seen as science experiments without tangible or scalable outcomes. Join us and participate in a rapid prototyping session focused on converting business challenges to analytics ideas. We will explore how best to make ideas tangible while reducing development time and increasing the successful implementation of new analytics initiatives.

 

Lab 7

Disruption by design

As the ‘new normal’ becomes a way of life, thinking of innovation, digital and analytics as separate functions is no longer a viable option for businesses facing today’s challenges. This one hour Disruption by Design (DbD) lab will showcase how organizations are creating greater strategic agility to solve for complex challenges. We will apply principles of "Thinking and Doing Differently" and help you pull together concepts of Analytics and AI, Innovation and Digital into a comprehensive framework that you can apply immediately to your business.

 

Lab 8

Redefine customer engagement using AI Chatbots

Leading organizations across industries are leveraging AI Chatbots to deliver phenomenal end user experiences, optimize operational costs, increase digital revenue and reduce enterprise risks. Learn how Cognitive and Artificial Intelligence technologies are enabling new ways to interact with machines and systems; from Chatbots & Digital Agents to Conversational Commerce and Intelligent Assistants.

 

Lab 9

Data monetization opportunities and considerations

By 2020, a fourth of large organizations will trade data and insights as a buyer or seller. Find out how and why CDOs should start organizing their data assets for monetization opportunities. We will also be discussing the CDO's role in ensuring that data and insights are monetized in a manner that comply with privacy and security regulations as well as organizational strategy and policies.

 

Lab 10

AI for marketers

AI and machine learning are already transforming the technological landscape. But what exactly does it mean for marketing and advertising executives? A big part of the opportunity for marketers is how AI will help us fully realize personalization—and relevance—at scale. In this lab, our experts will provide a framework to understand how to leverage data, analytics and CXM technologies to deliver customer experiences that resonate and drive business goals.

 

Lab 11

Robotic process automation

This Lab seeks to explore RPA benefits and implementation opportunities through the "Art of the Possible". The purpose of this Lab is to convey the transformational potential of robotics and cognitive technologies and to explore how participants can seize these opportunities. This Lab also seeks to highlight key considerations that participants should be aware of prior to embarking on their journey.

 

 

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