Ryan van Leent


Ryan van Leent

About Ryan van Leent

Ryan van Leent is a member of SAP's Global Public Sector team, with deep subject matter expertise in Social Protection. He is responsible for solutions that cover social protection, debt collection and fraud management. Ryan is an active member of SAP's Institute for Digital Government and is often invited to present at international Public Sector industry events and conferences. He has had several articles published in Digitalist Magazine and is a frequent contributor to social media discussions on Digital Transformation in Public Sector.

Predictive analytics, machine learning, governments, customer service, customer experience, citizen services, social issues

Overcoming Big Data Challenges With Real-Time Computing

21-Jun-2018 | Ryan van Leent

Our series so far has explored public sector applications of predictive analytics and machine learning to enable data-driven policy and practice. One could argue that characterization of these technol

Predictive analytics, machine learning, governments, customer service, customer experience, citizen services

Improving Customer Empathy With Machine Learning

13-Jun-2018 | Ryan van Leent

In a February 2018 interview, Liz Goli, Commissioner of Queensland’s Office of State Revenue (OSR), sat back in her chair: “The machine can actually improve our empathy with our customers,” she

Solving Wicked Problems With Predictive Analytics

7-Jun-2018 | Ryan van Leent

Before becoming Vice President of the United States, Mike Pence served as governor of the State of Indiana. He was sworn in on January 14, 2013, with several policy goals, including improving the heal

Predictive analytics, machine learning, real-time computing, governments, social issues, poverty

Emerging Technologies Enabling Data-Driven Policy And Practice

31-May-2018 | Ryan van Leent

In October 2017, the Melbourne Institute released findings of a working paper series on intergenerational disadvantage, which illustrates that young people are almost twice as likely to need social as