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Dive into our world and find out what we have to say about technology, UX, and software development.

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.

Serverless ML

Serverless ML, ML on AWS Lambda, ML on Google Cloud Functions, Scalable Serverless ML, Classify your dog for less than a penny!

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.

Undocumented Languages: Configuration Files

It starts innocently enough. You need a database connection string and to know which tables are safe to cache, and there’s just no sense in putting that in your source code. Right? I mean, why put hard-coded stuff in your programming language?