Updated: Oct 17
Discussion Circle Goal
Data and analytics are the cornerstone of business success post-COVID. Machine Learning (ML) has the capacity to launch businesses into the next century by enabling innovative transformations now. This event is a practical conversation with Jiri about:
What should the business teams know about ML?
What competitive advantage does ML bring to a business?
How can an enterprise begin transforming with ML, especially during the pandemic?
Jiri Stodulka - data scientist with a Master’s degree in Applied Economics.
Key Discussion Areas
Jiri took us on a journey which explained differences between AI, ML and data science initiatives. For me, the highlight of the session was the slide below explaining the competitive advantage ML offers businesses, especially in the pandemic world:
Jiri:"Your AI and ML is only as good as the data in the company". This highlights the importance of data gathering, quality and analytics capabilities for a business.
We talked about roles such as data analysts vs data scientists, including how they add value to the data quality focus.
We talked about the maturity curve and its importance, including examples of companies in the public eye.
We covered examples of innovation in AT and ML solutions recently, such as Microsoft Teams' transcribe feature which works well with accents.
We will continue the discussion about driving successful transformations during the pandemic, with a data theme again this month:
Sat Oct 17, 12-1pm EDT - Transforming With Design Thinking
Wed Oct 21, 12-1pm EST - Transforming With Data Initiatives
Until then, stay healthy and productive!
Full Session Recording
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