Danaher
Danaher and Aquant share a core set of values, in large part that success doesn’t happen by accident. We at Aquant know that success is the result of data-driven, customer-focused continuous improvement. One constant I’ve observed about each of Danaher’s opcos is a spirit and history of innovation. Using kaizen principles and customer feedback, innovating to constantly improve.
Tools that understand your unique service language allow you to complement your never-ending cycle of improvement. Understanding your service environment is the first step to identify heroes and challengers in your service workforce. These insights can’t be found by simply observing standard KPIs.
Join me for coffee to learn how the latest machine learning technology can add to your continuous improvement and superior performance by minimizing the discrepancy between challengers and heroes.
Brian Kim
Senior Account Executive Responsible for
Danaher Operating Companies
Aquant
How would you benefit from service-focused machine learning tools?
These tools empower your entire service workforce with the knowledge to perform at the level of your top experts (bridging the skills gap in technicians)– especially critical when superior service matters most. The AI tools enable intelligent decision-making by unlocking your own hidden service data. Then you’re able to prescribe solutions based on previous successful outcomes, bypassing an often manual, error-prone process. And the Natural Language Processing along with machine learning, allows your service techs to get to a quicker, accurate diagnosis in a fraction of the time or effort required from typical solutions.
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