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O TYM ODCINKU
Despite many companies currently investing huge amounts of resources into establishing data science capabilities, the hard truth is that the majority of these projects fail to impact upon daily business operations. As such, we look beyond classic statistical modelling and explain why the impact of a proper data science department must run far deeper than just collecting data, manipulating it and getting an output.
Język angielski
Stany Zjednoczone
WYSZUKAJ MINIONE ODCINKI
Wyszukaj minione odcinki The Quantitative Supply Chain.
INNE ODCINKI W TYM PODCASCIE
When investing in a piece of supply chain software, there is the expectation that it will last a company decades, rather than just a few years. However, with a rapidly changing tech landscape, this becomes a complicated endeavour. For this episode of LokadTV, we discuss this challenge of maintainab…
We've previously discussed the importance of a supply chain specialist over someone with more classic data science capabilities. At Lokad, we call them "Supply Chain Scientists". We're joined by one of our Supply Chain Scientists, Maximilian Barth, to learn more about what their rol…
Historically, programming has often been seen as an intimidating task reserved for computer whizzes and IT practitioners. Nowadays, however, with the rise of tools such as Python, programming has become that much more accessible. For this episode of LokadTV, we're joined, once more, by Nicolas …
Mahatma Gandhi famously said that “The future depends on what you do today.” ― and for the organizations of tomorrow to be successful they already need to start establishing the right set up and supply chain operating model. We're delighted to welcome Markus Leopoldseder and Knut Alicke from Mc…
Zastrzeżenie: Podcast i grafika osadzone na tej stronie pochodzą z Lokad, który jest własnością jego właściciela i nie jest powiązany ani wspierany przez Listen Notes, Inc.
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