Susan Icd.d on talent development
From Data & Analytics as a Source of Resilience with Boeing and Walmart Tech Execs | Technovation 699 · · Metis Strategy
“We actually look for anybody who's interested in this across the company and we have both our own courses but we also allow anybody to take as I said any university courses one of the programs that I'm really excited about is a new kind of internship program which actually takes people who have had no formal training at all in University in Engineering in other areas and allows them to learn some of the skills we've actually started first with cyber and then we're going to be adding data and analytics on it and we've just had our first Recruit come through and I can't tell you how excited I am and the kind of results that we've had because I do believe these skill sets you know anybody can learn them you've gotta you know have the desire to do it but that's one of the ways that we've also been approaching it so we can have a diverse set of talents that's really great.”
On , Susan Icd.d, Chief Information & Data Analytics Officer at Boeing, spoke about talent development during Data & Analytics as a Source of Resilience with Boeing and Walmart Tech Execs | Technovation 699 on Metis Strategy.
About Susan Icd.d
In a May 2023 panel discussion, Susan Doniz, Chief Information Officer and SVP of IT & Data Analytics at Boeing, discussed the role of data and analytics in providing predictability and stability within Boeing's strategy. She stated that the company has been using data and analytics to understand supply chain risks beyond tier one suppliers and to re-plan aircraft production based on supplier risk. Doniz also described the launch of a new tool called Cascade, which she characterized as a 4D planning tool for sustainability that models the impact of variables such as flight efficiency, sustainable aviation fuels, and fleet renewal. Doniz also addressed the importance of training her team in the skills needed to achieve these goals and described data as integral to a company's culture and storytelling. During the same discussion, she noted that failing to monitor data drift and model drift can make AI models "dangerous black boxes" that may lead to incorrect business decisions.