How can business help solve society’s biggest challenges? Welcome to Series 3 of Take on Tomorrow, the award-winning podcast from PwC that examines the biggest problems facing society and the role business can—and should—play in solving them. This series, we’re welcoming broadcaster and journalist Femi Oke to the show. She joins podcaster and journalist Lizzie O’Leary, and together with industry innovators, tech trailblazers and visionary leaders from around the globe, they’ll explore timely ...
…
continue reading
Treść dostarczona przez Market My Market. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Market My Market lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.
Player FM - aplikacja do podcastów
Przejdź do trybu offline z Player FM !
Przejdź do trybu offline z Player FM !
EP 256 - Jim Sullivan - Demystifying AI in eDiscovery
MP3•Źródło odcinka
Manage episode 407427510 series 2687856
Treść dostarczona przez Market My Market. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Market My Market lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.
Jim Sullivan is the Founder of eDiscovery AI and author of the new book The Book on AI Doc Review: A Simple Guide to Understanding the Use of AI in eDiscovery.
With over a decade of experience consulting on predictive coding and analytics use, Jim has a passion for analytics and calculates recall and precision metrics in his sleep. His life is a non-stop adventure of trying to find better ways to solve problems.
eDiscovery AI has created a new predictive coding tool powered by next-generation AI that can make expensive manual document review a thing of the past. This new AI is faster and more accurate than traditional predictive coding or contract attorney review and no longer requires the tedious training process that has always been necessary for traditional predictive coding tools.
Connect with Jim on LinkedIn: https://www.linkedin.com/in/sullivan9999/
Visit eDiscovery AI: https://ediscoveryai.com/
On This Episode, We Discuss…
…
continue reading
With over a decade of experience consulting on predictive coding and analytics use, Jim has a passion for analytics and calculates recall and precision metrics in his sleep. His life is a non-stop adventure of trying to find better ways to solve problems.
eDiscovery AI has created a new predictive coding tool powered by next-generation AI that can make expensive manual document review a thing of the past. This new AI is faster and more accurate than traditional predictive coding or contract attorney review and no longer requires the tedious training process that has always been necessary for traditional predictive coding tools.
Connect with Jim on LinkedIn: https://www.linkedin.com/in/sullivan9999/
Visit eDiscovery AI: https://ediscoveryai.com/
On This Episode, We Discuss…
- How Next-generation AI is Transforming Document Review
- Overcoming AI Adoption Hurdles
- How AI Can Help Small Businesses Compete with Larger Firms
- The Future of AI in the Legal Sector
295 odcinków
MP3•Źródło odcinka
Manage episode 407427510 series 2687856
Treść dostarczona przez Market My Market. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Market My Market lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.
Jim Sullivan is the Founder of eDiscovery AI and author of the new book The Book on AI Doc Review: A Simple Guide to Understanding the Use of AI in eDiscovery.
With over a decade of experience consulting on predictive coding and analytics use, Jim has a passion for analytics and calculates recall and precision metrics in his sleep. His life is a non-stop adventure of trying to find better ways to solve problems.
eDiscovery AI has created a new predictive coding tool powered by next-generation AI that can make expensive manual document review a thing of the past. This new AI is faster and more accurate than traditional predictive coding or contract attorney review and no longer requires the tedious training process that has always been necessary for traditional predictive coding tools.
Connect with Jim on LinkedIn: https://www.linkedin.com/in/sullivan9999/
Visit eDiscovery AI: https://ediscoveryai.com/
On This Episode, We Discuss…
…
continue reading
With over a decade of experience consulting on predictive coding and analytics use, Jim has a passion for analytics and calculates recall and precision metrics in his sleep. His life is a non-stop adventure of trying to find better ways to solve problems.
eDiscovery AI has created a new predictive coding tool powered by next-generation AI that can make expensive manual document review a thing of the past. This new AI is faster and more accurate than traditional predictive coding or contract attorney review and no longer requires the tedious training process that has always been necessary for traditional predictive coding tools.
Connect with Jim on LinkedIn: https://www.linkedin.com/in/sullivan9999/
Visit eDiscovery AI: https://ediscoveryai.com/
On This Episode, We Discuss…
- How Next-generation AI is Transforming Document Review
- Overcoming AI Adoption Hurdles
- How AI Can Help Small Businesses Compete with Larger Firms
- The Future of AI in the Legal Sector
295 odcinków
همه قسمت ها
×Zapraszamy w Player FM
Odtwarzacz FM skanuje sieć w poszukiwaniu wysokiej jakości podcastów, abyś mógł się nią cieszyć już teraz. To najlepsza aplikacja do podcastów, działająca na Androidzie, iPhonie i Internecie. Zarejestruj się, aby zsynchronizować subskrypcje na różnych urządzeniach.