Maximizing Effectiveness and Efficiency in Your Engineering and Scientific Work

Are you striving to realize the full potential of your engineering projects and targeted research initiatives? Watch this pre-recorded webinar as we dive into the intricacies of using analytics to accelerate learning cycles and maximize the value of engineering and scientific work.

In this 45-minute session, learn essential tips and tricks for using data analytics to enhance efficiency and to drive innovation in your day-to-day work.

Takeaways:

Ways to leverage data for innovative solutions.
Effective communication strategies for better decision making.
Techniques to streamline development and avoid common challenges.

About the Presenters

Clark Ledbetter, Systems Engineer

Clark Ledbetter is a Systems Engineer at JMP Statistical Discovery, which creates interactive and highly visual statistical discovery software for scientists and engineers. Prior to joining JMP, Clark spent more than 20 years in high-tech manufacturing in the automotive, semiconductor, aerospace/composites, and optics industries.

Clark’s experience includes processing engineering, quality engineering, and project management, as well as process research and development, facility start-up, and continuous improvement in high-volume production. He is passionate about delivering business results through engaged cross-functional teams and data-based decisions.

Jason Wiggins, Principal Systems Engineer

Jason Wiggins supports semiconductor customers in the U.S. Western Region as a JMP Principal Systems Engineer. Prior to joining JMP, Jason spent nearly 20 years at US Synthetic, where he held leadership roles in research, product, process, and test development. He is passionate about applying analytics in collaborative team environments to generate innovative products, technologies, and intellectual property.

Jason has extensive industry experience applying and coaching design of experiments, measurement systems analysis, data visualization, data mining, predictive modeling, and statistical process control methods. He trained in mechanical engineering at the University of Utah and began his career as an R&D engineer and later as a process engineer for oilfield service company Baker Hughes.

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Register now for this free webinar.

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