The power of AI at scale

In my previous blog, I introduced the concept of Intelligent Customer Management that we discussed at NexJ Client Day. Many of our Wealth Management and Private Banking customers were eager to discuss how it could explicitly apply to them. 

Whether you’re shopping for customer relationship management, customer engagement, business process management, or a customer insights platform, you’re bound to come across similar vendor promises. “We’ll help you better understand customers. Improve the customer experience. Increase productivity.”

This year, we were invited by Neo4j, one of our key development partners, to attend GraphConnect, their annual global gathering. This was the first year Neo4J held GraphConnect in New York, so NexJ was especially grateful to not only participate in this inaugural event, but to be one of the partner exhibitors as well. The gathering extended the reach of Neo4j, offering something for everyone, including developers, data scientists, big data architects, and business analysts looking to reveal new connections in their analysis.

In early November, we welcomed our clients to Toronto for NexJ Client Day. Clients got together to share ideas and discuss the future of Customer Relationship Management (CRM) within financial services. The theme of the day was Intelligent Customer Management.

I know, I know… I’m always talking about how it’s the age of the customer and how everything revolves around the customer. Guess what? I don’t just talk about it, I live by it too. Last week, it was my privilege to host our 2017 Client Day here in Toronto. We were joined by senior business and IT leaders from many of our customers from across the globe, across the country, and down the street. 

PwC's 2017 Digital Banking Consumer Survey summary, "(Don't) take it to the bank: What customers want in the digital age," proposes a new segment of consumers they've called "omni-digital." They define omni-digital customers as those who "don't use physical channels like branches or call centers to interact with their financial institutions." 

In today's financial services and insurance markets, you have access to massive amounts of information from multiple sources about your customers. The Internet of Things has led to an exponential increase in data types and sources, and assembling that information into usable insights can provide powerful knowledge about your potential or existing customers. 

Sometimes when you step back you can really appreciate things that may have become routine. I did this recently with our enterprise-first development approach. As usual, we are busy adding capabilities to our products that will make our client’s solutions even more valuable and I’ve been almost too close to it. 

This is the third and final post in my series on Digital Content. In the first post, we discussed how your advisors can build a personalized professional brand using NexJ Digital Engagement and Artificial Intelligence. In the second post, we discussed using the same AI tools to deliver personalized touches to your existing clients.

For a person to use something, they almost always have to believe they have something to gain. For a CRM system, that means that a person should get more information out than they put in. After all, if all you have access to is the information you entered, what’s the point?

Artificial Intelligence is everywhere all of a sudden. It’s on our phones, in our homes (I’m looking at you, Alexa) and peppered throughout our online experiences. It’s the hot topic from the water cooler to analysts to the media to the major industry players. (I think we all know where Elon Musk and Mark Zuckerberg stand on AI by now.)

In my previous blog, I discussed the importance of using content to create a personal brand on social media. To recap, NexJ Digital Engagement uses Artificial Intelligence to match articles from public news and internal sources to a profile that is unique to each financial advisor or banker.