Program
Day 1 lays the groundwork for AI-driven transformation. Explore how to build a data-driven culture, leverage cutting-edge data architectures, and ensure responsible data governance in the age of AI.
Registration
- 8:00 AM
Opening Remarks
- 08:50 AM
- Introduction
Track 1: AI-Driven Decision Making: Strategies and Culture
The AI-Powered Enterprise: A blueprint for transformation.
- Identify the key building blocks of an AI-powered organization.
- Develop a roadmap for AI adoption, from strategy to execution.
- 09:00 AM
- Keynote
Panel Discussion: Building a Data-Driven Culture – A Leadership Perspective.
- Hear from D&A leaders who have successfully built data-driven cultures in their organizations.
- Gain insights into the challenges and best practices of fostering a data-driven mindset.
- Learn how to empower employees at all levels to embrace data and use it to drive better decisions.
- 09:30 AM
- Panel Discussion
Track 2: Data Mesh & Modern Data Architecture
Data Mesh vs. Data Fabric: Choosing the Right Architecture for Your Needs.
- Understand the key differences between Data Mesh and Data Fabric.
- Evaluate the pros and cons of each architecture for different use cases.
- Develop a framework for choosing the right data architecture for your organization’s needs.
- 10:00 AM
- Keynote
Coffee Break
- 10:30 AM
- Break
Building a Cloud-Native Data Platform: A Practical Guide
- Explore the key considerations for building a cloud-native data platform.
- Learn about the latest cloud technologies and services for data management and analytics.
- Gain practical insights into migrating to and optimizing a cloud-based data infrastructure.
- 11:00 AM
- Keynote
Architecting for Data Agility: Building a Responsive and Scalable Data Infrastructure.
- 11:30 AM
- Keynote
Session TBD
- 12:00 PM
- Keynote
Networking Luncheon
- 12:30 PM
- Break
Track 3: Advanced Analytics & Data Literacy
The Future of Analytics: Augmented Intelligence and Predictive Modeling.
- Discover how augmented intelligence is transforming analytics and decision-making.
- Explore the latest advancements in predictive modeling and machine learning.
- Learn how to leverage these technologies to gain a competitive advantage.
- 01:30 PM
- Keynote
Data Storytelling and Visualisation.
- Master the art of crafting compelling data narratives that resonate with stakeholders.
- Learn how to use data storytelling to influence decisions and drive action.
- Explore best practices for visualizing data and communicating insights effectively.
- 02:00 PM
- Keynote
Democratizing AI: Empowering the Citizen Data Scientist.
- Understand the role of citizen data scientists in a data-driven organization.
- Explore tools and strategies for empowering business users to analyze data and generate insights.
- Discuss the importance of data literacy and how to foster it across the organization.
- 02:30 PM
- Keynote
Session TBD
- 03:00 PM
- Keynote
Closing Remarks
- 03:30 PM
Cocktail Reception
- 04:00 PM - 06:00 PM
- Drinks Reception
Day 2 focuses on leveraging data and AI for strategic advantage. Discover how to create personalized customer experiences, unlock the value of data, and navigate the ethical considerations of AI in the workplace.
Registration
- 8:00 AM
Opening Remarks
- 08:50 AM
- Introduction
Track 4: Data Management: Governance, Privacy, and Security
Data Governance for AI: Balancing Innovation and Responsibility
- Explore the key principles and best practices of data governance in the age of AI.
- Learn how to balance the need for innovation with the importance of responsible data handling.
- Discuss strategies for ensuring data quality, privacy, and compliance in AI initiatives.
- 09:00 AM
- Keynote
Data Security and Privacy in the Age of AI: Protecting Sensitive Information.
- Understand the evolving threat landscape and the unique security challenges posed by AI.
- Learn about best practices for protecting sensitive data and ensuring data privacy in AI systems.
Explore the latest technologies and tools for data security and privacy management.
- 09:30 AM
- Keynote
Data Lineage and Traceability: Ensuring Data Trust and Compliance.
- Learn how to develop and implement a comprehensive data governance framework for your organization.
- Explore best practices for data quality management, metadata management, and data access control.
- Discuss the role of data governance in enabling AI and data-driven initiatives.
- 10:00 AM
- Keynote
Coffee Break
- 10:30 AM
- Break
Track 5: Customer-Centric Analytics and Personalization
Hyper-Personalization: Predicting Behavior and Optimizing Customer Experiences.
- Learn how to leverage data and AI to understand and anticipate customer needs.
- Explore the strategies for delivering personalized customer experiences.
- Discuss the ethical considerations and best practices for using AI in customer engagement.
- 11:00 AM
- Keynote
Empowering the Data-Driven Customer: Behavioral Analytics and Self-Service Tools
- Understand how to use behavioral analytics to gain insights into customer behavior and preferences.
- Explore the role of self-service analytics tools in empowering customers to make informed decisions.
- Discuss best practices for designing customer-centric analytics solutions.
- 11:30 AM
- Keynote
Session TBD
- 12:00 PM
- Keynote
Networking Luncheon
- 12:30 PM
- Break
Track 6: The Human-AI Partnership: Shaping the Future of Work & Data Monetization
The Future of Work in the Age of AI: Upskilling and Reskilling for a Data-Driven World
- Explore the impact of AI on job roles, skills, and the nature of work itself.
- Discuss strategies for upskilling and reskilling the workforce to thrive in a data-driven future.
- Learn how to foster a culture of continuous learning and adaptation.
- 01:30 PM
- Keynote
Data as a Service (DaaS): Building and Monetizing Data Products
- Understand the concept of Data as a Service (DaaS) and its role in the data economy.
- Explore the key considerations and best practices for building and monetizing data products.
- Discuss the legal and ethical implications of DaaS.
- 02:00 PM
- Keynote
Session TBD
- 02:30 PM
- Keynote
The Ethics of AI: Building Trust and Fairness in AI Systems
- Explore the ethical considerations surrounding AI, including bias mitigation, explainability, and responsible use.
- Learn how to build trust and fairness into AI systems and processes.
- Discuss the role of data governance and ethical frameworks in ensuring responsible AI development.
- 03:00 PM
- Keynote
Closing Remarks
- 03:30 PM
