Description: Digital transformation attracts funding because companies are anxious to capture competitive advantage through new technologies like IoT, AI, and ML. But because excitement runs ahead of results, between 70-90% of digital transformation initiatives to date have failed. Although Industry 4.0 only emerged as a theme over the past decade, digital transformation started in the early 1970s, when PLCs were first introduced to industrial environments. Stories of digital transformation in each decade that span the boundaries between business models, quality management, software, and systems reveal actionable patterns we can use to dominate with digital - even as we anticipate new innovations like NFTs, DAOs, web3, and the metaverse. In this session, you'll learn how to lead in the emerging discipline of digital quality and find out what's really being transformed.
Presenter: Dr. Nicole Radziwill provides executive leadership around strategy and execution for industrial and high-tech organizations. This includes deploying tools, processes, and coherent work systems that increase and accelerate results as companies scale from $10M to $100M. She has deep technology, product, and go-to-market expertise, and works mainly as a boundary spanner where data science, AI/ML, data management, industrial technology, quality engineering and/or quality management are in focus. She is an innovator, strategist, business architect, principal data scientist, and advisor (since 2006) to more than 20 CXOs. She is a hands-on data scientist with experience modeling with languages/platforms archaic to modern. You can find out more about her pedigree at http://nicoleradziwill.com
Registration: here
Flyer: here
Presenter: Dr. Nicole Radziwill provides executive leadership around strategy and execution for industrial and high-tech organizations. This includes deploying tools, processes, and coherent work systems that increase and accelerate results as companies scale from $10M to $100M. She has deep technology, product, and go-to-market expertise, and works mainly as a boundary spanner where data science, AI/ML, data management, industrial technology, quality engineering and/or quality management are in focus. She is an innovator, strategist, business architect, principal data scientist, and advisor (since 2006) to more than 20 CXOs. She is a hands-on data scientist with experience modeling with languages/platforms archaic to modern. You can find out more about her pedigree at http://nicoleradziwill.com
Registration: here
Flyer: here
Date & Time
Thursday October 27th, 2022 6:00pm CDT
End Date & Time
Thursday October 27th, 2022 7:00pm CDT
Categories
Webinar
Host Type
Technical
File
ASQ_Innov TC Webinar Oct 27 2022 rev2.pdf213 KB
Category
Public Calendar
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