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8 Reasons that May Cause You to Loose Customers

Tom Spencer

The customer service reps must not be trained enough or must be unhappy with their job to behave in this manner. The customer feels cheated if some additional charge comes up on their credit card or if they are denied some discount or insurance claim which was very publicly advertised. Employees need to want to be helpful.

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8 Issues that May Cause You to Lose Customers

Tom Spencer

The customer service reps must not be trained enough or must be unhappy with their job to behave in this manner. The customer feels cheated if some additional charge comes up on their credit card or if they are denied some discount or insurance claim which was very publicly advertised. Employees need to want to be helpful.

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More on corporate sponsorship: Good news and a warning

The Nonprofit Consultant

This is likely because these companies can and do advertise their giving to the general public. But, it's not without ethical questions. Before you accept sponsorship from that building development company for your job training program, have you checked on their labor practices or history of labor disputes?

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How Marketers Can Start Integrating AI in Their Work

Harvard Business

On the other hand, there are also real philosophical, ethical, or at least policy decisions to be made on the value exchange between marketers and consumers when data is shared and used to optimize marketing experiences. The good news is that, as an industry, we are starting to see meaningful progress on both fronts.

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3 Ways AI Is Getting More Emotional

Harvard Business

Scaling to group settings can have an Orwellian feeling: Concerns about privacy, creativity, and individuality have these experiments playing on the edge of ethical acceptance. More importantly, adequate psychological training for the people in power is required to interpret the emotional results, and to make adequate adjustments.

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3 Questions About AI That Nontechnical Employees Should Be Able to Answer

Harvard Business

They are “trained” to spot patterns using an existing set of data inputs and outputs. Machine learning tools excel when they can be trained to solve a problem using vast quantities of reliable data, and to give answers within clear parameters that people have defined for them. What is it good at? What should it never do?

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Better Questions to Ask Your Data Scientists

Harvard Business

At The Data Incubator , we work with hundreds of companies looking to hire data scientists and data engineers or enroll their employees in our corporate training programs. We often field questions from our hiring and training clients about how to interact with their data experts.

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