Industry Insights | Stefan Steffen | Full Interview

Описание к видео Industry Insights | Stefan Steffen | Full Interview

Welcome to another episode of the Spatialedge Industry Insights Show! In this episode, we're excited to bring you a conversation with Stefan Steffen, the Group Head of Data at Telkom.

Stefan has a rich background in data science and customer retention management, making him a leading voice in the African data space. In our chat, he shares his insights on the application of data at the Telkom group, the future of data, and how to effectively manage teams. He also explores the unique challenges and opportunities of applying data in the African context.

This episode is a must-watch for data professionals, telecoms experts, and business executives who are looking to leverage data in their organisations.

Don't forget to like, share, and subscribe to our channel for more industry insights. We'd love to hear your thoughts on the interview, so please leave a comment below!

Sections

00:00 Intro
00:00:43 What makes you who you are?
00:07:00 What was your transition into management like?
00:10:05 Any advice for someone trying to get into a leadership role?
00:14:13 What is the difference between a lead data scientist and a head of data?
00:20:08 What are some your top use cases?
00:31:55 Tell us about Izwe.ai?
00:39:35 How does Telkom approach innovation?
00:47:06 How would you structure an ideal data team?
00:52:55 Tell us about some of your challenges and share your best learnings.
01:01:10 How do you retain and grow your talent?
01:06:31 How does Telkom measure success?
01:16:20 What should people be talking about in The AI space?
01:23:47 What tips do you have for an aspiring Data Scientist?
01:25:47 Outro

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Spatialedge is a big data and advanced analytics solutions provider, with a focus on enabling companies to rapidly build and operationalise robust analytical and machine learning models. We enable enterprise data science teams to deliver significantly more value to business faster and more reliably, by providing a toolkit consisting of engineers, data science specialists, open-source and bespoke software, and training programs.

We believe that the derived benefit of data science is more than just models running in notebooks; it is the collection, aggregation, and understanding of data by harnessing technology to exploit opportunities to deliver value to the business.

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