How Change Management Maximizes AI's Effectiveness

Posted by Daniel Galajda on Mon, Jun 24, 2019

Rubesh Jacobs co-wrote this blog post with Daniel Galajda. 

In our recent webinar on the human aspects of AI-augmented distribution, our panel of ZS experts discussed why implementing AI requires change management. To influence behavior, we need to shape experiences (what we sense and process), mindset (what we feel and the decisions we make) and behavior (what we do or don’t do).


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Successful AI Implementation Requires Organizational Change and a Customer-First Approach

Posted by Daniel Galajda on Thu, May 30, 2019


When it comes to AI-augmented distribution, turning data on sales transactions, sales rep activity and marketing activity into actionable insights and next best actions is an area of investment for many asset managers and insurance firms.


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How Asset Managers Can Address Breakdowns in the Analytics Value Chain

Posted by Brian Keating on Fri, Aug 11, 2017

According to a recent study by Ignites Research, less that 20% of asset managers’ analytics teams’ time is spent on analytics, and only 63% of firms can turn the resulting analyses into opportunities or wins. Compared to other industries, asset managers are behind the curve in using analytics for sales and marketing enablement, but similar issues have persisted in other, more analytically mature sales organizations. Sales teams and marketers at asset management companies use investment analytic teams to support their decision-making, so when the sales and marketing analytics they receive don’t deliver the value they expect from other analytics teams, they’re less likely to tolerate it.


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