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. 

When users spend a great deal of time collecting onboarding data, the drain on a user’s time means they have less time to spend on revenue-generating activities. When data is housed solely in an onboarding solution, the information that can’t be shared between systems is lost for processes performed outside of the onboarding software.

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.

Working with data is always tricky because there's so much that can go wrong so quickly. Any CRM solution that claims to do its job well has to deal not just with data duplication or conflicts, but with third-party applications, back-office systems that don't talk to each other, external systems and a seemingly unlimited number of integration points. 

Here's an interesting piece of information that got lost in the hype surrounding Salesforce's biggest deal ever. Apparently, the acquisition of MuleSoft in March for $6.5 billion was met with skepticism by senior management, until they were gently informed by a financial services firm of the importance of connecting data that is stored in disparate systems.

 “Vertical CRM will be the preferred CRM Choice in the next three years”¹

Trying to tell corporate and investment bankers about the importance of understanding their customers is a lot like listing the benefits of butter to a pastry chef. They get it. They know it really, really well. And yet, considering we are in the business of Customer Relationship Management, I sometimes can't help but question what this means.

Wealth management is about trust. It is about giving an advisor control of your financial health and security and depending upon that advisor to make or recommend decisions that help you meet your financial goals. When we, as CRM vendors, focus on features that give our products an edge, we always focus on how specific features can help advisors build more trust. This is what makes relationship hierarchies so important.

 “VerticalCRM will be the preferred CRM Choice in the next three years”¹

What’s it all mean?

Continuous Integration lets lots of people work on one project at the same time, while merging their work together in a central place regularly. This maintains the most recent version, so everyone is checking in or out only the latest code.

Our CRM capabilities and features are targeted towards a specific set of users, job requirements, or departments within an organization.

How does NexJ do it?