Location Intelligence in Financial Services Online schedule

• How can geospatial data help banks and insurers deliver hyper-personalized customer experiences? 

• What role does location intelligence play in optimizing branch placement and ATM networks? 

• How are financial institutions leveraging geofencing and proximity marketing to boost engagement? 

• What are the key ethical and regulatory considerations when using customer location data? 

• How can financial services companies integrate location intelligence into their mobile and digital strategies? 

• How are AI and machine learning transforming geospatial analytics in financial services? 

• What role does AI play in detecting location-based fraud patterns and anomalies? 

• How can AI-driven location insights improve credit risk assessments and lending decisions? 

• What are the key ethical risks of AI-powered location tracking in financial services? 

• How can financial institutions ensure fairness and transparency in AI-driven geospatial models? 

• How can financial institutions ensure compliance with data privacy regulations when using location data? 

• What are the key risks and challenges associated with collecting and storing geospatial data? 

• How should firms balance customer personalization with ethical concerns around location tracking? 

• What best practices should financial services companies adopt to ensure transparency in geospatial analytics? 

• How do global regulations differ in their approach to geospatial data governance? 

• What strategies can financial institutions use to gain customer trust in location-based services? 

• What future regulations should financial firms prepare for regarding the ethical use of location data? 

Naresh Dulam, VP Software Engineer - JP Morgan 

Praneeth Reddy Amudala Puchakayala, Data Scientist - Regions Bank 

Rahul Zende, Principal Data Scientist - Navy Federal Credit Union 

• What is the ROI of implementing geospatial analytics in financial services? 

• How can financial firms overcome data integration and infrastructure challenges? 

• What are the key use cases of location intelligence in improving operational efficiency? 

• How has location intelligence contributed to cost savings and revenue growth for banks and insurers? 

• What factors should financial institutions consider when investing in geospatial data solutions?