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AI ROI: The Questions You Need To Be Asking

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During this free Metis Corporate Training webinar, Dec 5 @ 12pm ET, Kerstin Frailey, Senior Data Scientist and Head of Executive Corporate Training at Metis, will walk through what you need to ask before, during, and after the lifetime of a data science project to accurately assess its impact on the business.



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AI ROI: The Questions You Need To Be Asking
Free Metis Corporate Training Webinar

Thursday, December 5
12pm ET

As business leaders increase investment in advanced analytics, data science, and AI, many struggle to identify the return on those efforts. It is not because those initiatives don’t deliver results, but rather, the inaccurate measurement and reporting of success. Technical teams deliver transformative contributions to their companies, but they aren’t being acknowledged for it.

Meanwhile, other teams are frustrated because their successful data science projects are not being translated into successful business projects. This often occurs because leaders are unable to differentiate high impact data science projects from low impact ones. Without the ability to do so, leaders cannot effectively lead a team to choose impactful projects.

If leaders keep struggling to understand and identify data science impact, they will eventually stop investing in it. When that investment stops, companies lose the competitive advantage that these teams are indeed bringing to the business.

Fortunately, we can do better. Teams can pursue high ROI projects—if they know what questions to ask and when to ask them.

During this free Metis Corporate Training webinar Kerstin Frailey, Senior Data Scientist and Head of Executive Corporate Training at Metis, will walk through what you need to ask before, during, and after the lifetime of a data science project. This talk, with live Q&A, will give leaders the tools to:

  • Identify and assess the possible impact of potential data science projects
  • Support projects with high probability of success
  • Identify sunk costs and appropriate stopping points
  • Transform data science success into success in your business

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