If Your CRM Is Smarter Than Ever Before, You Can Thank Artificial Intelligence

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. 

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Next Best Action: Smarter, Faster, And Really, Really Good For Business

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. 

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Next Best Decision Models

Some of you may be familiar with Next Best Action in the context of Sales & Marketing, where the consideration is which offer is most appropriate for which customer at a point in time. Extending Next Best Action to customer service seems a natural progression, considering the service representative is already engaged with the customer, and presuming the interaction went well, means extending the dialog with an appropriate offer. 

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Riding the Wave: Enterprise Computing in 2018

Enterprise computing is undergoing a revolution, but it’s not the first.  It has undergone a number of phases, or waves, throughout its history, each looking to introduce efficiencies in how we work. The first two waves of computing were centered on the back-office. 

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Disruption in Motion: Chief Data & Analytics Officer Financial Conference 2018

The customer experience, now more than ever, is the bar we use to predict the health and growth potential of a business. Most major financial institutions are taking this to heart by adapting their services to deliver the “delightful” customer experience we’ve come to expect as consumers (think Amazon, Netflix, and Uber.) I was reminded of the sea change that is moving our industry towards intelligent customer management while at the Chief Data Analytics Officers (CDAO) event in Boston last month. I contributed to a panel discussion about the emergence of machine learning in financial services, where I was joined by industry peers with first-hand experience transforming their business with data-driven insights. The efforts of fellow panelists and thought leaders, like José Murillo of Banorte, were on full display. Our lively exchange made clear that the disruptive forces of Artificial Intelligence (AI) and Machine Learning are here to stay.

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Recapping CDAO: Examining the Transformation of Risk Management

Last week's CDAO presentation on Single-Family Data Governance & Management by Freddie Mac illustrated how traditional back office activities are aligning and impacting front office processes.  We continue our recap of lessons learned at CDAO with this week's focus on risk management. This April, we were delighted to attend as well as participate in the Financial Services-focused Chief Data & Analytics Officer conference in Boston.  This annual gathering brought together senior-level data practitioners in financial services to share their latest innovations, best practices, challenges and use cases.  The concept of monetizing or commercializing data assets is revolutionizing the Financial Services industry by using governed data strategies partnered with business initiatives to realize data-driven transformation benefits.

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Data Governance at CDAO Financial Services Conference Boston

This April, we were delighted to attend as well as participate in the Financial Services-focused Chief Data & Analytics Officer conference in Boston. This annual gathering brought together senior-level data practitioners in financial services to share their latest innovations, best practices, challenges and use cases.

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AI in Financial Services: Work Faster, Better, and Smarter Today.

It’s interesting that artificial intelligence is such a hot topic these days because AI itself is not new. The concept of an ‘artificial brain’ was discussed by scientists in the 1930s. In 1950, Alan Turing created the Turing Test to distinguish machines from ‘thinking’ machines.

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Intelligent Customer Management – The Untapped Value of AI in Wealth Management.

It’s been astonishing to see the amount of media attention around Artificial Intelligence (AI) in recent months. From the dystopia of HBO’s Westworld to the hype of Salesforce's Einstein, we’ve been inundated with larger than life claims about AI and its abilities. 

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Intelligent Customer Management in Wealth Management

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. 

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Intelligent Customer Management

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.

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AI in CRM for Wealth Management: Sizzle or Steak?

I’m a consistent conference goer. I go to learn about and discuss all things wealthTech, and every year we see the bandwagon steer towards the same trends. This year especially – though certainly true of the last few years – we seem to have latched on to artificial intelligence (AI) and machine learning (ML). I see demos of some really cool technology. 

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