Who doesn’t want their team to work faster? And not just faster, but better as well? It’s what we all want. That’s why ‘increasing productivity’ is a key driver behind many front-office system upgrades. It’s also the reason so many vendors promise productivity improvements. So, how do you sort out the empty promises from the legitimate ones? The simple answer: do your research. Ask questions, and demand proof.

Communication is key when it comes to building a relationship between wealth managers and clients, but how do you keep a consistent approach?

At NexJ, the pioneer of intelligent customer management with client engagement products designed for the financial services industry, we sought to capture the full addressable market by breaking down the monolith and going API-first. At the core, many organizations choose to shift this direction for scalability and connectivity, but the value-add can be exponential. Here is a deeper dive into our implementation journey with Kong.

In a recent presentation at Destination: Scale, I gave an inside look into how NexJ, the pioneer of intelligent customer management with client engagement products designed for the financial services industry, expanded our customer base utilizing modern architecture focused on scalability and connectivity.

What's your onboarding process?

Like every other interaction with business these days, customers expect client onboarding and new account opening to be fast, efficient, and easy. Traditionally, onboarding in financial services has been a paper-based process not known for its efficiency. We’ve all had an experience that went something like this: “I need to ask you some questions … Sorry, I need that information again to fill out another form … And another form … Now please sign here … and here … and here … Now, hang on while I get you a photocopy …”

Vendors Say The Darndest Things

Who doesn’t want their team to work faster? And not just faster, but better as well? It’s what we all want. That’s why ‘increasing productivity’ is a key driver behind many front-office system upgrades. It’s also the reason so many vendors promise productivity improvements. So, how do you sort out the empty promises from the legitimate ones? The simple answer: do your research. Ask questions, and demand proof.

Today, firms have access to information at an unprecedented level and must contend with a highly regulated industry as well as the commodification of products and services. For a CRM solution like NexJ, this represents a challenge as well as a great deal of opportunity, because more information about a customer is a powerful tool when used effectively.

It doesn't take a genius to figure out that Artificial Intelligence (AI) has changed all kinds of industries and workplaces in a number of significant ways. Attitudes towards the use of AI have also shifted, along with the ways in which it has been approached. One of the biggest shifts has been the emphasis on top-down reasoning rather than bottom-up big data. 

This is more true for the fields of Artificial Intelligence, Machine Learning, and Deep Learning than others, which is why our developers have put together a list of more commonly used terms to help you tell your Algorithms from your Active Learning, and Selection Bias from Sentiment Analysis.

Financial services organizations are accepting the advantages of cloud deployment because they are seeing that unified ecosystems, more agility, and better management of investments are all great for business. The cloud can be daunting though, for organizations that aren't clear about their priorities or don't have access to the expertise required to maintain or secure data effectively.

It makes perfect sense here too, because a Continuous Delivery Pipeline is nothing but a set of steps that code changes must go through to make their way to production. This Pipeline has four elements — Continuous Exploration (CE), Continuous Integration (CI), Continuous Deployment, and Release on Demand.

Picture this: You, an advisor at a financial services firm, are interacting with customers. You have at your disposal an enormous amount of information related to their likes and dislikes, along with a comprehensive overview of their finances.