Advancing on the AI Maturity Curve to Drive Increased Business Value Through Robust Governance Framework

June 30, 2021 | 11:25am - 13:15pm AEST / 9:25am - 11:15am SGT | VIRTUAL

Catherine Lopes

Head of Data Strategy & Analytics ME Bank

Dr. Catherine Lopes is a strategic team leader, an outcome and value focused data scientist, a data and business driven consultant, and a passionate educator in data and analytics with more than 20 years of international experience across a wide range of sectors.

Her recent focus is on helping organizations to uplift business performance by developing data and analytics strategy, applying broad range analytics including machine learning and AI through a governed enterprise data management framework and process. Her specialties are in Machine Learning, Analytics Transformation, Data Strategy and Management, and end-to-end delivery. She is an advocate for supporting women in analytics and data science, and bridging gaps between academia and industry.

Virtual Program: 30 June 2021

12:40 PM Panel Discussion: Maturing & Scaling AI Technology To Improve Customer Experience, Churn Prediction, Data Driven Decisioning, and Grow On The Maturity Curve

In order to mature and scale your AI capabilities, businesses must understand their AI maturity and how their AI can be utilised to its fullest potential. However, there is seemingly much misunderstanding about how we can use AI and what goes into expanding your capabilities. This panel will share key insights into how businesses, like yours, can broaden their AI journey by understanding how technology can be used to support customers, employees and processes.

 

  • Learn how you can utilise AI technologies to build your business resilience, transform customer engagement, and improve operational efficiencies for your employees.
  • Understand how you can grow your AI on the Maturity Curve, and what strategies one can enable to do so efficiently and effectively
  • Understand real-world use cases of the most common applications of data & AI.
  • Best practices to developing a data strategy and foundation to enable to scale AI