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Building on Digital Transformation - Integrating, Scaling, and Streamlining Wealth Management for the Future

Building on Digital Transformation - Integrating, Scaling, and Streamlining Wealth Management for the Future

This session builds upon the previous webinar's exploration of digital transformation in wealth management. It delves into the convergence of wealth/asset management with banking, insurance, and planning, focusing on hybrid digital solutions and emerging technologies. Topics include integrating traditional and digital practices, scaling advisor impact (fractional investing, platform services), streamlining operations, the future of financial planning (AI), and meeting evolving client expectations. Provides a roadmap for implementing digital strategies and capitalizing on emerging trends.

S&OP 5 Step Process + Toolkit

Revolutionize your sales and operations planning. Find what matters in your data, align stakeholders, explore issues and proactively what-if alternatives.

Fraud Detection and Prevention in Healthcare Claims

Fraud and loss affect healthcare payers and providers at a staggering amount each year. This also includes all areas of the business from underwriting to the investigations of claims and payments. In addition, fraud and loss is time consuming to investigate and fraudsters become more sophisticated and utilize more complex methods and technology that make it even harder to detect. The sophistication and pressure from world health events has driven the need for real-time analytics and prevent and intervene strategies.

Multi-Tenant Applications in Neo4j

Neo4j is the most popular graph data store available today. It leverages graph technologies to help build modern high-performing applications, but it does not have any native multi-tenant support. However, you may have decided to build out your multi-tenant application and that Neo4j is the right graph data store to fit your needs. In any multi-tenant system, the trick (from a data-store side) really comes down to how to isolate one tenant’s data (physically or logically) from another tenant’s.