DAS IX

May 3, 2023

9:00 am – 4 :00 pm

Title/Theme: “Leading the Way – The Data Driven Organization”

Whether you work in government, healthcare, hospitality, financial, logistics or beyond, you and your organization can benefit from understanding the value of data and being a data driven organization. The most successful organizations in the world are data-driven organizations. Disney, Roche, McDonalds, Google, Uber, Amazon are just a few examples of companies that are succeeding by being truly data driven. They benchmark themselves, set strategy and vision and develop a culture where the value of their data is recognized, utilized, and embraced. This summit will include case studies of successful organizations demonstrating how they’ve advanced analytically to become more data-driven as well as the fundamentals needed to move yourself and your organization up the maturity spectrum. The tracks of the conference cover the aspects needed to lead and succeed as a data driven organization -From data management, governance, and privacy to data analytics to Artificial Intelligence to data storytelling and visualization.

Included in the summit will be sessions on how data driven organizations successfully acquire, organize, analyze, and visualize data to do everything from innovate the delivery of services their customers/citizens rely on, to dramatically reduce cycle time and costs to predict changes in customers/citizens’ needs and wants.

Tracks:

Keynote:

Keynote proposals for this event should be engaging. The keynote should set the tone for the day and inspire attendees to move their organizations toward a more data-driven culture stemming from the advantages of applying data analytics. Speakers should inspire attendees to attend the tracks and sessions throughout the day. Keynote presentations should set the tone for a day of focus on the tracks of the summit:

• Track 1: Data Story Telling and Visualization
• Track 2: The Artificial Intelligence Continuum: from Robotic Process Automation (RPA) to Deep Learning
• Track 3: Data Management, Governance & Privacy
• Track 4: Data Analytics: business intelligence, modeling and applications of big data

Track 1: Data Story Telling and Visualization

Proposals for this track can include topics that demonstrate the value of data storytelling, visualization or give significant value in the creation of these techniques. Proposals may answer the questions why they are important and how they inspire action. The use of case studies and specific examples of organizations using these techniques is encouraged.

Track 2: The Artificial Intelligence Continuum: from Robotic Process Automation (RPA) to Deep Learning

Seeking proposals with demonstrated examples of how organizations have employed AI and RPA to enhance processes, reduce costs, and improve delivery of service. Use cases illustrating the applications of Machine Learning and Deep Learning are strongly encouraged.

Track 3: Data Management, Governance & Privacy

Proposals should address the importance of not only managing data but ensuring security and best practices for implementing data systems that meet the regulatory and functional needs of organizations. Case studies and program implementations for meeting the ever-changing data regulations organizations are facing are encouraged.

Track 4: Data Analytics: Business Intelligence, Modeling and applications of Big Data

Proposals for this track should address not just data but how it is modeled and how it is applied for better outcomes. How do we harness the value and insights from the data we collect? What are the best practices, tools and training processes that organizations must implement amidst a changing landscape of regulation