In this episode of MIT CSAIL Alliances, host Kara Miller sits down with Professor Manya Ghobadi, a researcher and entrepreneur bridging the gap between academia and industry. Ghobadi, who has worked at Microsoft Research, Google, and now leads her own startup Systalyze, explores why so many companies struggle to efficiently deploy AI — and how her team is creating the “AI doctor” enterprises didn’t know they needed.
From hospitals sitting on mountains of private data to banks seeking smarter fraud detection, Ghobadi explains how better infrastructure and smarter tools can finally unlock AI’s full potential. Tune in for an inside look at how innovation moves from lab to launchpad — and what it takes to make AI work in the real world.
Topics Include:
00:07 - Origins of Systalze
01:40 - AI systems are difficult to build
02:53 - Systalyze is like an AI doctor
03:38 - How AI can transform the health care industry
04:41 - When companies unlock their AI potential
05:13 - Academia as an enterprenuer
Episodes, listener discounts, meet the host, and more can be found here: csail.mit.edu/podcast
Connect with CSAIL Alliances:
On our site: cap.csail.mit.edu/about-us/meet-our-team
On LinkedIn: linkedin.com/company/mit-csail
#MITCSAIL #AI #Education #MIT #GenerativeAI #Leadership #Technology #csailpodcast
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In this episode of MIT CSAIL Alliances, host Kara Miller sits down with Professor Manya Ghobadi, a researcher and entrepreneur bridging the gap between academia and industry. Ghobadi, who has worked at Microsoft Research, Google, and now leads her own startup Systalyze, explores why so many companies struggle to efficiently deploy AI — and how her team is creating the “AI doctor” enterprises didn’t know they needed.
From hospitals sitting on mountains of private data to banks seeking smarter fraud detection, Ghobadi explains how better infrastructure and smarter tools can finally unlock AI’s full potential. Tune in for an inside look at how innovation moves from lab to launchpad — and what it takes to make AI work in the real world.
Topics Include:
00:07 - Origins of Systalze
01:40 - AI systems are difficult to build
02:53 - Systalyze is like an AI doctor
03:38 - How AI can transform the health care industry
04:41 - When companies unlock their AI potential
05:13 - Academia as an enterprenuer
Episodes, listener discounts, meet the host, and more can be found here: csail.mit.edu/podcast
Connect with CSAIL Alliances:
On our site: cap.csail.mit.edu/about-us/meet-our-team
On LinkedIn: linkedin.com/company/mit-csail
#MITCSAIL #AI #Education #MIT #GenerativeAI #Leadership #Technology #csailpodcast
AI's Language Leap: MIT CSAIL Associate Professor Jacob Andreas Explores NLP and LLMs
CSAIL Alliances Podcasts
27 minutes 49 seconds
8 months ago
AI's Language Leap: MIT CSAIL Associate Professor Jacob Andreas Explores NLP and LLMs
For a full, uncut video version of this show (shot in Professor Andreas' MIT CSAIL office!), watch here: https://www.youtube.com/watch?v=QBV5Bj_NnbA
MIT CSAIL Associate Professor Jacob Andreas walks listeners through how LLMs like ChatGPT evolved from academic curiosities to industry-disrupting technologies.
Reflecting on the transformations he has observed in AI research, Professor Andreas discusses how some ideas—like linking NLP research to cognitive science—have taken a backseat, while others—like the importance of large-scale training data—remain central.
He offers insights on AI use cases, the emergence of models like DeepSeek, and the critical role of human oversight in AI deployment. Acknowledging both the excitement and concerns surrounding AI, Professor Andreas believes that educators and industry alike face a challenge in keeping pace with the ‘moving target’ of AI progress.
Plus: learn how AI can be used to decode the language of sperm whales!
About the guest: Professor Andreas is an MIT EECS Associate Professor and CSAIL PI. Before joining MIT, he earned his PhD at Berkeley. His group's research focuses on three themes: building machine learning models that learn language in human-like ways, enabling the use of language as a general-purpose tool for building intelligent systems, and developing techniques for understanding machine learning models using language. His group envisions a future built around training, explaining, and interacting with intelligent systems for users of all the world's languages.
Learn more about Professor Jacob Andreas and his research here: https://www.mit.edu/~jda/
Want to know more about Professor Andreas' work on the language of sperm whales? Read here: https://news.mit.edu/2024/csail-ceti-explores-sperm-whale-alphabet-0507
MIT's CSAIL Alliances Podcast is your guide to how AI & computer science research impact how we live, work, play, and learn. Listener discounts, meet the host, and more: csail.mit.edu/podcast
CSAIL Alliances Podcasts
In this episode of MIT CSAIL Alliances, host Kara Miller sits down with Professor Manya Ghobadi, a researcher and entrepreneur bridging the gap between academia and industry. Ghobadi, who has worked at Microsoft Research, Google, and now leads her own startup Systalyze, explores why so many companies struggle to efficiently deploy AI — and how her team is creating the “AI doctor” enterprises didn’t know they needed.
From hospitals sitting on mountains of private data to banks seeking smarter fraud detection, Ghobadi explains how better infrastructure and smarter tools can finally unlock AI’s full potential. Tune in for an inside look at how innovation moves from lab to launchpad — and what it takes to make AI work in the real world.
Topics Include:
00:07 - Origins of Systalze
01:40 - AI systems are difficult to build
02:53 - Systalyze is like an AI doctor
03:38 - How AI can transform the health care industry
04:41 - When companies unlock their AI potential
05:13 - Academia as an enterprenuer
Episodes, listener discounts, meet the host, and more can be found here: csail.mit.edu/podcast
Connect with CSAIL Alliances:
On our site: cap.csail.mit.edu/about-us/meet-our-team
On LinkedIn: linkedin.com/company/mit-csail
#MITCSAIL #AI #Education #MIT #GenerativeAI #Leadership #Technology #csailpodcast
