(2024) Causal AI & Supply Chain || Ishansh Gupta || Causal Bandits Ep. 010
Recorded on Sep 27, 2023 in München, Germany.
Audio version available on the best podcast platforms: https://causalbanditspodcast.buzzsprout.com
*From supply chain to large language models and back.*
Ishansh realized the potential of data when he was just 10 years old, during his time as a junior cricket player.
His journey led him to ask questions about the mechanisms behind the observed events.
Can large language models (LLMs) help in building an industrial causal graph?
What inspires stakeholders to share their knowledge and which causal discovery algorithms have been most effective for Ishansh's supply chain use case?
Hear the insights from one of the BMW Group's fastest-rising young data science talents.
Ready?
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*About The Guest*
Ishansh Gupta is a Lead Data Scientist at BMW Group. Previously, he worked for several companies, including a legendary German sports club SV Werder Bremen. He studied Computer Science, and co-founded an educational startup during his study years. He has supervised or supported students in various universities, including the Munich-based TUM and MIT.
Connect with Ishansh:
- Ishansh on Twitter/X: https://twitter.com/IshanshG
- Ishansh on LinkedIn: https://www.linkedin.com/in/ishansh-gupta/
- Ishansh's web page: https://www.linkedin.com/in/ishansh-gupta/
*About The Host*
Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality (https://amzn.to/3QhsRz4).
Connect with Alex:
- Alex on the Internet: https://bit.ly/aleksander-molak
*Links*
Papers
- Kıcıman et al. (2023) - Causal Reasoning and Large Language Models: Opening a New Frontier for Causality (https://arxiv.org/pdf/2305.00050.pdf)
- Peters et al. (2014) - Causal Discovery with Continuous Additive Noise Models (https://arxiv.org/pdf/1309.6779.pdf) [RESIT algorithm]
Books
- Molak (2023) - Causal Inference and Discovery in Python (https://amzn.to/3QhsRz4)
- Pearl & Mackenzie (2019) - "The Book of Why" (https://amzn.to/3I0ehs2)
LinkedIn
- causaLens (https://www.linkedin.com/company/causalens/)
*Causal Bandits Team*
Project Coordinator: Taiba Malik (https://www.instagram.com/taibasplay/)
Video and Audio Editing: Navneet Sharma, Aleksander Molak
*Action*
Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
Join Causal Python Weekly: https://causalpython.io
Causal Bandits: https://causalbanditspodcast.com
The Causal Book: https://amzn.to/3QhsRz4
#machinelearning #causalai #causalinference #causality
Recorded on Sep 27, 2023 in München, Germany.
Audio version available on the best podcast platforms: https://causalbanditspodcast.buzzsprout.com
*From supply chain to large language models and back.*
Ishansh realized the potential of data when he was just 10 years old, during his time as a junior cricket player.
His journey led him to ask questions about the mechanisms behind the observed events.
Can large language models (LLMs) help in building an industrial causal graph?
What inspires stakeholders to share their knowledge and which causal discovery algorithms have been most effective for Ishansh’s supply chain use case?
Hear the insights from one of the BMW Group’s fastest-rising young data science talents.
Ready?
——————————————————————————————————
*About The Guest*
Ishansh Gupta is a Lead Data Scientist at BMW Group. Previously, he worked for several companies, including a legendary German sports club SV Werder Bremen. He studied Computer Science, and co-founded an educational startup during his study years. He has supervised or supported students in various universities, including the Munich-based TUM and MIT.
Connect with Ishansh:
– Ishansh on Twitter/X: https://twitter.com/IshanshG
– Ishansh on LinkedIn: https://www.linkedin.com/in/ishansh-gupta/
– Ishansh’s web page: https://www.linkedin.com/in/ishansh-gupta/
*About The Host*
Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality (https://amzn.to/3QhsRz4).
Connect with Alex:
– Alex on the Internet: https://bit.ly/aleksander-molak
*Links*
Papers
– Kıcıman et al. (2023) – Causal Reasoning and Large Language Models: Opening a New Frontier for Causality (https://arxiv.org/pdf/2305.00050.pdf)
– Peters et al. (2014) – Causal Discovery with Continuous Additive Noise Models (https://arxiv.org/pdf/1309.6779.pdf) [RESIT algorithm]
Books
– Molak (2023) – Causal Inference and Discovery in Python (https://amzn.to/3QhsRz4)
– Pearl & Mackenzie (2019) – “The Book of Why” (https://amzn.to/3I0ehs2)
LinkedIn
– causaLens (https://www.linkedin.com/company/causalens/)
*Causal Bandits Team*
Project Coordinator: Taiba Malik (https://www.instagram.com/taibasplay/)
Video and Audio Editing: Navneet Sharma, Aleksander Molak
*Action*
Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
Join Causal Python Weekly: https://causalpython.io
Causal Bandits: https://causalbanditspodcast.com
The Causal Book: https://amzn.to/3QhsRz4
#machinelearning #causalai #causalinference #causality
