Data Analytics Roundtable 2023 | CULytics | 14 December 2023 | Online

About Session
Welcome to the Data Analytics Roundtable, where credit union leaders come together to explore the transformative power of generative AI and organizational alignment. This dynamic platform is specifically designed to engage in discussions surrounding the use cases of generative AI for credit unions and the importance of aligning organizational objectives with data-driven strategies.
In today's data-driven landscape, the field of data analytics has evolved into a complex ecosystem. Credit unions now have access to a wealth of first-party and third-party data, leading to stakeholders' heightened expectations for real-time actionable insights and members' increasing demand for personalized engagement. It is crucial for credit unions to harness the power of generative AI to unlock innovative use cases that drive growth and enhance member experiences. Additionally, ensuring organizational alignment is paramount to effectively leverage data analytics and achieve strategic objectives.
The Data & Analytics Roundtable serves as a catalyst for professional development and continuous learning in these areas. Through lively discussions and occasional presentations by authoritative speakers, this forum offers an invaluable opportunity to explore the use cases of generative AI in credit unions and delve into the strategies for aligning data analytics initiatives with organizational goals.
Topics for Discussion:
Exploring real-world use cases of generative AI in credit unions: From personalized member experiences to fraud detection, delve into the practical applications and success stories of generative AI within the credit union industry.
Strategies for aligning data analytics initiatives with organizational objectives: Learn how to effectively align data analytics strategies with the broader goals of your credit union, enabling data-driven decision-making and optimizing business outcomes.
Who should attend this Roundtable?
This Roundtable is designed for individuals responsible for:
• Setting data analytics strategy
• Making investment decisions on data analytics technologies, teams, and processes
• Overseeing the execution of the data analytics strategy
• Aligning with business function stakeholders and supporting their objectives through data
• Reporting on results and driving data-driven decision-making