Andrea
Hofmann
Head of Data Innovation at DHL
"Essential Skills for your Successful Data & AI Career"
"Essential Skills for your Successful Data & AI Career"
11 - 7:50 AM EDT/New York (See in local time)
Add to Calendar
04//2024 7:50 AM
04//2024 08:10 AM
America/New_York
#WTGC2024
"Essential Skills for your Successful Data & AI Career"
#WTGC2024
"Essential Skills for your Successful Data & AI Career"
https://app.events.ringcentral.com/events/women-in-tech-global-conference-2024/reception
https://www.womentech.net/vfairs
"Essential Skills for your Successful Data & AI Career"
"Essential Skills for your Successful Data & AI Career"
Don’t miss out and join visionaries, innovators, and thought leaders from all over the world at the Women in Tech Global Conference.
Vote by Sharing
Unite 100 000 Women in Tech to Drive Change with Purpose and Impact.
Do you want to see this session? Help increase the sharing count and the session visibility. Sessions with +10 votes will be available to career ticket holders.
Please note that it might take some time until your share & vote is reflected.
Session: Essential Skills for your Successful Data & AI Career
The importance, need, and interest for a career in the data field is increasing as a result of the increasing value generation from Data Science & AI.How has the role of a Data Scientist changed within the last years from the “unicorn” generalist towards more specialized roles like machine learning engineer or analytics translator? What is the anatomy of a data team and which skills are required? What is the most valuable advice for building your data career? And finally, will tools like ChatGTP make Data jobs now obsolete?
Key Takeaways
- how to succeed as a woman in tech
- essential data skills to build impactful AI products
- how to prepare for the future of work and the jobs of tomorrow
Bio
Andrea is an experienced Data Scientist and analytical expert with a proven track record of making business impact via powerful and interpretable AI solutions across different industries. Combines profound technical background with a proven leadership record in managing Data Science projects and teams. Dynamic and motivated team player with an ability to coach individuals to success. Engaged Data Science ambassador who shapes a data-driven strategy within the company