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Lessons Learned About Data & AI at Enterprises - Alexander Hendorf

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We talked about:
00:00 DataTalks.Club intro
03:08 Alexander’s background
06:50 The role of Partner at Königsweg
08:50 Being part of the data and AI community
11:13 How Alexander became chair at PyData
16:31 Alexander’s many talks and advice on giving them
23:48 Explaining AI to managers
27:53 Why being able to explain machine learning to managers is important
36:50 The experimentational nature of AI and why it’s not a cure-all
42:00 Innovation requires patience
48:54 Convincing managers not to use AI or ML when there are better (simpler) solutions
53:27 The role of MLOps in enterprises
58:26 Thinking about the mid- and long-term when considering solutions
1:01:07 Finding Alexander online
Links:
00:00 DataTalks.Club intro
03:08 Alexander’s background
06:50 The role of Partner at Königsweg
08:50 Being part of the data and AI community
11:13 How Alexander became chair at PyData
16:31 Alexander’s many talks and advice on giving them
23:48 Explaining AI to managers
27:53 Why being able to explain machine learning to managers is important
36:50 The experimentational nature of AI and why it’s not a cure-all
42:00 Innovation requires patience
48:54 Convincing managers not to use AI or ML when there are better (simpler) solutions
53:27 The role of MLOps in enterprises
58:26 Thinking about the mid- and long-term when considering solutions
1:01:07 Finding Alexander online
Links: