Artificial Intelligence (AI): Is It Worth Everybody's While to Acquire Knowledge in Statistics and Machine Learning?
In the world of data analysis and business intelligence, three distinguished individuals are set to share their insights in an upcoming webinar.
David Meintrup, a professor of Mathematics and Statistics at Ingolstadt University of Applied Sciences, will lead the discussion. Meintrup, with a background in applied mathematics, has extensive professional experience in applying statistical methods across various industries including manufacturing, finance, and healthcare. His academic responsibilities include the mathematical and statistical education of engineering students at the university, and he is also a co-author of the book Statistics with JMP: Graphs, Descriptive Statistics and Probability. Aside from his academic pursuits, Meintrup works as a statistical trainer and consultant for various industries, including semiconductor, solar, pharmaceutical, and biotech.
The webinar, organised by SAS - the leader in business analytics software and services - will provide a quick overview of deep learning, its applications, and limitations. SAS helps customers at more than 60,000 sites improve performance and deliver value by making better decisions faster. The webinar will also showcase some advanced statistical modeling techniques.
Volker Kraft, the senior academic ambassador at JMP - a part of SAS since 1989 - will also participate in the discussion. Kraft, with a background in electrical engineering, has applied analytics to customer advocacy in telecommunications for Vodafone and Voxeo. He has also used statistical methods to study psychoacoustics and speech communication. Kraft's expertise in data analysis and his experience in academia will undoubtedly enrich the webinar's content.
Benjamin Valsler, the digital editor of a renowned website magazine, will complete the panel. Prior to joining the Royal Society of Chemistry, Valsler was the producer of the award-winning Naked Scientists. Now, he produces video and podcasts to accompany the magazine and website, making complex scientific topics accessible to a general audience.
The webinar is expected to discuss the potential need to replace traditional statistics classes in university programs with deep learning and artificial intelligence. This promising development could revolutionise the way students learn and apply statistical concepts, making them more prepared for the data-driven world of tomorrow.
Interested individuals can register for the webinar to gain valuable insights from these esteemed professionals and deepen their understanding of deep learning and its applications in various industries.
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