About this Event

Is your organization ready to harness the power of Artificial Intelligence (AI) through data excellence?

When effectively managed, high-quality data paves the way for successful AI implementation, driving innovation, efficiency, and competitive advantage.

Join us for an insightful two-hour session where we delve into:

• The essential steps to achieve data excellence and AI readiness.

• Establishing robust data governance and ensuring data quality.

• Empowering data ownership and accountability within your organization.

• Building a strong foundation for AI readiness with the right people, processes, and technology.

Date

Monday, Dec. 9

Time and Venue

5:30 PM – 7:00 PM

Fees

• LKR 2,000 

Speaker

Dhanushka Abeyratne

Manager — Data Analytics and Governance, MAS Capital

Educator — Data and AI

Key Topics

Introduction to Data Excellence and AI Readiness

• Understanding Data Excellence: The role of high-quality data in AI success.

• The Journey to AI Readiness: How data management impacts AI implementation.

Step 1: Establishing Data Governance and Quality

• Importance of Data Governance: Ensuring data accuracy, consistency, and security.

• Methods for High Data Quality: Regular data audits and cleansing processes.

• Data Cataloging: Enhancing data discoverability and compliance.

• Tools and Techniques: Overview of tools for data governance and quality management.

Step 2: Enabling Data Ownership and Accountability

• Principles of Data Ownership: Assigning clear data ownership within the organization.

• Stakeholder Involvement: Engaging business stakeholders in data management.

• Operational Benefits: Leveraging trusted, high-quality data for AI models.

• Implementation Strategies: Developing data ownership frameworks.

Step 3: Building a Strong AI Readiness Foundation

• People and Skills: Identifying necessary skills for handling AI technologies.

• Processes and Technology: Establishing processes and selecting technologies for AI deployment.

• Governance and Strategy: Importance of governance frameworks and long-term AI strategies.

• Case Studies: Learning from organizations that have achieved AI readiness.

Interactive Q&A Session

• Discussion: Addressing specific challenges and sharing experiences.

• Expert Insights: Personalized advice on embarking on the AI readiness journey.