El audio de este episodio puede estar dañado.
How to fix it?
ACERCA DE ESTE EPISODIO
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.
Inglés
Estados Unidos
BUSCAR EPISODIOS ANTERIORES
Buscar episodios anteriores de The Quantitative Supply Chain.
OTROS EPISODIOS EN ESTE PODCAST
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…
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…
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 …
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…
Descargo de responsabilidad: El podcast y el arte incluidos en esta página son de Lokad, que es propiedad de su propietario y no está afiliado ni respaldado por Listen Notes, Inc.
EDITAR
Gracias por ayudar a mantener actualizada la base de datos de podcasts.
