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MSFT Scientist: Agents, Causal AI & Future of DoWhy | Amit Sharma S2E4 | CausalBanditsPodcast.com

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Manage episode 477014429 series 3526805
Content provided by Alex Molak. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alex Molak or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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*Agents, Causal AI & The Future of DoWhy*
The idea of agentic systems taking over more complex human tasks is compelling.
New "production-grade" frameworks to build agentic systems pop up, suggesting that we're close to achieving full automation of these challenging multi-step tasks.
But is the underlying agentic technology itself ready for production?
And if not, can LLM-based systems help us making better decisions?
Recent new developments in the DoWhy/PyWhy ecosystem might bring some answers.
Will they—combined with new methods for validating causal models now available in DoWhy—impact the way we build and interact with causal models in industry?
------------------------------------------------------------------------------------------------------
Video version available on Youtube:

https://youtu.be/8yWKQqNFrmY

Recorded on Mar 12, 2025 in Bengaluru, India.
------------------------------------------------------------------------------------------------------
*About The Guest*
Amit Sharma is a Principal Researcher at Microsoft Research and one of the original creators of the open-source Python library DoWhy, considered the "scikit-learn of causal inference." He holds a PhD in Computer Science from Cornell University. His research focuses on causality and its intersection with LLM-based and agentic systems. Amit deeply cares about the social impact of machine learning systems and sees causality as one of the main drivers of more useful and robust systems.
Connect with Amit:
- Amit on LinkedIn: https://www.linkedin.com/in/amitshar/
- Amit on BlueSky:
- Amit 's web page: http://amitsharma.in/
*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
Support the show

Causal Bandits Podcast
Causal AI || Causal Machine Learning || Causal Inference & Discovery
Web: https://causalbanditspodcast.com
Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
Join Causal Python Weekly: https://causalpython.io
The Causal Book: https://amzn.to/3QhsRz4

  continue reading

Chapters

1. MSFT Scientist: Agents, Causal AI & Future of DoWhy | Amit Sharma S2E4 | CausalBanditsPodcast.com (00:00:00)

2. [Ad] Inspiring Tech Leaders - The Technology Podcast (00:17:00)

3. (Cont.) MSFT Scientist: Agents, Causal AI & Future of DoWhy | Amit Sharma S2E4 | CausalBanditsPodcast.com (00:17:34)

35 episodes

Artwork
iconShare
 
Manage episode 477014429 series 3526805
Content provided by Alex Molak. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alex Molak or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

*Agents, Causal AI & The Future of DoWhy*
The idea of agentic systems taking over more complex human tasks is compelling.
New "production-grade" frameworks to build agentic systems pop up, suggesting that we're close to achieving full automation of these challenging multi-step tasks.
But is the underlying agentic technology itself ready for production?
And if not, can LLM-based systems help us making better decisions?
Recent new developments in the DoWhy/PyWhy ecosystem might bring some answers.
Will they—combined with new methods for validating causal models now available in DoWhy—impact the way we build and interact with causal models in industry?
------------------------------------------------------------------------------------------------------
Video version available on Youtube:

https://youtu.be/8yWKQqNFrmY

Recorded on Mar 12, 2025 in Bengaluru, India.
------------------------------------------------------------------------------------------------------
*About The Guest*
Amit Sharma is a Principal Researcher at Microsoft Research and one of the original creators of the open-source Python library DoWhy, considered the "scikit-learn of causal inference." He holds a PhD in Computer Science from Cornell University. His research focuses on causality and its intersection with LLM-based and agentic systems. Amit deeply cares about the social impact of machine learning systems and sees causality as one of the main drivers of more useful and robust systems.
Connect with Amit:
- Amit on LinkedIn: https://www.linkedin.com/in/amitshar/
- Amit on BlueSky:
- Amit 's web page: http://amitsharma.in/
*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
Support the show

Causal Bandits Podcast
Causal AI || Causal Machine Learning || Causal Inference & Discovery
Web: https://causalbanditspodcast.com
Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
Join Causal Python Weekly: https://causalpython.io
The Causal Book: https://amzn.to/3QhsRz4

  continue reading

Chapters

1. MSFT Scientist: Agents, Causal AI & Future of DoWhy | Amit Sharma S2E4 | CausalBanditsPodcast.com (00:00:00)

2. [Ad] Inspiring Tech Leaders - The Technology Podcast (00:17:00)

3. (Cont.) MSFT Scientist: Agents, Causal AI & Future of DoWhy | Amit Sharma S2E4 | CausalBanditsPodcast.com (00:17:34)

35 episodes

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